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Healthcare - Science topic

Explore the latest questions and answers in Healthcare, and find Healthcare experts.
Questions related to Healthcare
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Can anyone share a link to a publication in which this is announced as a novelty? I am curious who first invented this kind of protection against infectious transmissions from patients to drugstore staff. I'm curious how old this idea is.
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War generally brings untold hardships for society's most vulnerable- women and children.
Hardship for women and children anywhere is hardship everywhere.
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The main stay will be a robust planning, Implementation, Monitoring and Evaluation of response activities. A multi-sector approach with support from the authorities, religious organisations and non-governmental organisations. A central command centre,
EPC. Public health initiatives will range from Emergency medical and surgical services to the severely physically injured where Analgesics, Antibiotics and Trauma surgical care. Followup initial stabilization, they can be evacuated to safe areas, refugee camps and specialized care centres for definitive care.
This will require the International community and volunteers to avail the services and emergency equipment and commodities.
Using the sphere principles in Emergency response, temporary water and sanitation facilities ( WASH), with proper waste disposal mechanisms to limit spread of waterbone and communicable diseases. Portable bottled single use biodegradable containers will serve the rehydration needs of the affected populations.
Mental health services can be achieved by collective and individual debrief sessions, where individulas freely share the lived experiences, then slowly focusing on a continous, long term psychotherapy to avoid Post Traumatic Stress Disorder (PTSD).
Women and children particularly need protection during the healing process while being allowed to reunite with their loved ones.
Toll free numbers for virtual councelling sessions and trauma support will as well be applied. Child friendly centres offering play areas, learning grounds and respect to religious practises need to be offered as well.
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AI is expected to have a significant impact on the job market, influencing the nature of work and creating new opportunities while also automating certain tasks. Here are some ways AI may affect the job market and roles that are at risk of automation. How do you think?
  1. Automation of Routine Tasks
  2. Routine Cognitive Tasks
  3. Transportation and Delivery Services
  4. Manufacturing and Assembly
  5. Customer Support
  6. Data Entry and Analysis
  7. Certain Healthcare Tasks
  8. Financial Services
  9. Retail Jobs
However, it's important to note that while automation may eliminate certain jobs, it can also create new opportunities. Many experts argue that AI will lead to the creation of new roles that require uniquely human skills, such as creativity, emotional intelligence, critical thinking, and complex problem-solving. Additionally, there will be a growing demand for jobs that involve developing, maintaining, and managing AI systems.
To adapt to these changes, workers may need to acquire new skills and engage in lifelong learning to stay relevant in the evolving job market. Policies and initiatives that support retraining and upskilling will be crucial for helping the workforce navigate the transition brought about by AI and automation.
Hope to hear from you! Thanks!
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I have written a few thoughts about this in relation to consultancy - see https://interimconsult.co.uk/news/ai-the-impact-on-consultancy/
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Lots of studies in adults and children, mainly done in HICs, are advocating antibiotics only (conservative) management of acute non-perforated appendicitis. In LMICs, with poor access to healthcare, most patients present with perforation. Is there a role of conservative management of acute non-perforated appendicitis in children in LMICs?
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The role of conservative management of acute non perforated appendicitis in children is fairly well established (Jumah S, Wester T. Non-operative management of acute appendicitis in children. Pediatr Surg Int. 2022 Nov 28;39(1):11. doi: 10.1007/s00383-022-05284-y. PMID: 36441297
Armstrong J, Merritt N, Jones S, Scott L, Bütter A. Non-operative management of early, acute appendicitis in children: is it safe and effective? J Pediatr Surg. 2014 May;49(5):782-5. doi: 10.1016/j.jpedsurg.2014.02.071. Epub 2014 Feb 22. PMID: 24851770).
With special reference to the same in the setting of LMIC, the COVID pandemic has brought an increased thrust of its use (Hannan MJ, Parveen MK, Hoque MM, Chowdhury TK, Hasan MS, Nandy A. Management of Acute Appendicitis in Children During COVID-19 and Perspectives of Pediatric Surgeons From South Asia: Survey Study. JMIR Perioper Med. 2021 Dec 21;4(2):e26613.). The evidence for its successful implementation is worth the effort with appropriate inclusion / choice of cases.
Unpublished data from our centre supports the use of non operative management in children with early presentation (onset of pain within 2-3 days), absence of significant collection, fecolith on imaging and successful resolution of symptoms by 24 hours of antibiotics.
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According to the following points, describe your opinion:
  1. Economic Impact: Productivity
  2. Social Impact: Healthcare
  3. Ethical and Moral Considerations
  4. Legal and Governance Issues: Regulation
  5. Technological Advancements: Innovation
  6. Cybersecurity
  7. Environmental Impact: Sustainability
  8. Cultural and Creative Fields
  9. Global Dynamics: Geopolitics
  10. Digital Divide
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Despite the importance of artificial intelligence, especially in the field of the health sector and other magazines, the negatives outweigh the positives, especially in terms of ethics and the labor sector, as there are many fields in the labor sector that will disappear, leading to the spread of unemployment, and this affects the economic, social and political structure in the country. the society.
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Telemedicine in Disaster Response: Explore how telemedicine can be leveraged in disaster situations, such as natural disasters or pandemics, to provide remote medical assistance and triage.
Patient Experience and Satisfaction: Research factors affecting patient satisfaction and engagement in telemedicine, including usability, accessibility, and trust in virtual healthcare.
Telemedicine for Rural Healthcare Access (SDG 3):Investigate how telemedicine can address healthcare disparities in rural and underserved areas, contributing to SDG 3 (Good Health and Well-being).
Telemedicine for Health Equity (SDG 10): Study how telemedicine can reduce health disparities and promote equitable access to healthcare, in line with SDG 10 (Reduced Inequality).
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Thank you dear sir, This helped a lot
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Since Titmus and Esping-Andersen, we have always categorized three types of welfare regimes among developed countries. Could we expand this to Asian, Afrian and Latin-america countries? Would such continents have any kind of welfare?
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Share of informal workers is an indicator of "not enough" for defining a separate welfare state model. As, for example, the share of unemployed, the share of high-tech employees, etc.
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Hi.
I was wondering if is there a full list of AI systems in healthcare, I am looking at the names of the projects such as MYCIN, MAYO-Clinic AI-assisted System, and CAD system.
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MEDIP is a recent launched apps which is amazing
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So, I'm a student of MS clinical psychology, currently working on my thesis. I wanted to explore the impact of perceived parenting style on the degree of morality among mental healthcare professionals. I was told that the two variables are from two different domains of life, i.e., perceived parenting style is related to home/domestic domain and the scale for morality is related to occupational domain. And that this makes the variables lack connection.
Is that true?
Can I really not assess this relationship? The impact of PPS on the morality of people in this profession?
Please, a quick answer would be highly appreciated.
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This article might help.
Mental health: The invisible effects of neglected tropical diseases
The psychological burden of disability and stigma has been overlooked, to the detriment of those affected and their carers...
The stigma and exclusion experienced by people with neglected tropical diseases such as lymphatic filariasis or leprosy can take an enormous psychological toll that is often overlooked. “If you speak to any clinician, they’ll say this is a massive issue. We see it every time someone walks into our clinic and they’ve lost their job, or their husband, or had stones thrown at them by children,” says psychiatrist Julian Eaton. Efforts to systematically evaluate the mental-health burden and trial interventions are only slowly ramping up. “The research is really underinvested in at the moment,” Eaton says...
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I would like to know if there are any of research associate or PhD opportunities in primary care field currently open in Singapore. How should improve my qualifications to apply them? i am interested in access, healthcare planning, chronic diseases and quality assessments.
Thank you
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Thank you so much. I will look into them. Should I directly apply to them
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Hello everyone. I am currently doing my undergrad in Industrial Engineering, about to start my thesis and have a keen interest in machine learning but finding appropriate datasets have been tough. If anyone would be kind enough to suggest websites to find datasets related to my field, it would help me a lot. I have already tried Kaggle but had hard luck finding anything worth working on.
Thank you.
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It's great that you're interested in applying machine learning to your field of industrial engineering. Finding relevant datasets can be a challenge, but there are several sources you can explore:
1. UCI Machine Learning Repository: The University of California, Irvine maintains a repository with a wide range of datasets that might be relevant to your research.
2. Data.gov: This U.S. government website provides access to a wealth of datasets across various domains, including industry and engineering.
3. Open Data Platforms: Many cities, states, and organizations have open data platforms where they share data related to various industries. You might find datasets related to manufacturing, supply chain, and more.
4. Academic Journals and Conferences: Check academic journals and conference proceedings related to industrial engineering. Sometimes, they publish datasets along with research papers.
5. Professional Organizations: Organizations related to industrial engineering may provide datasets or links to relevant data sources. Consider checking out resources from organizations like IISE (Institute of Industrial and Systems Engineers).
6. Collaborate with Your University: Your university's research department or professors in the industrial engineering department might have access to datasets or can guide you to relevant sources.
7. Custom Data Collection: In some cases, you might need to collect your own data through surveys, sensors, or experiments, especially if your thesis topic is specific.
Moreover, Kaggle is a popular platform for datasets, and Google Dataset Search is a valuable resource.
8. Kaggle: Kaggle is a well-known platform for data science and machine learning. While you mentioned having difficulty finding datasets there, it's still a valuable resource. You can explore Kaggle's "Datasets" section and use filters to search for datasets relevant to industrial engineering. Additionally, Kaggle hosts data science competitions, and the competition datasets can also be used for research or projects.
9. Google Dataset Search:Google Dataset Search is a search engine specifically designed to help you find datasets. You can enter keywords related to your field, such as "industrial engineering," and it will return datasets available on the web. It's a great tool to discover datasets from various sources that you might not find through traditional search engines.
Remember that finding the right dataset can take some time and effort, but the effort you put into data acquisition is a crucial part of successful machine learning projects. It's also a good opportunity to network with professionals in your field who may have valuable insights or data sources. Furthermor, Kaggle and Google Dataset Search platforms, along with the other suggestions, can significantly expand your options for finding the right dataset for your work. Happy researching and Good luck with your thesis!
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I want to do research in Healthcare sector ..Suggest suitable titles for topic approval
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Patient-Centric Healthcare 4.0: Exploring Blockchain’s Role in Enhancing Patient Experience
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Dear ResearchGate'rs,
I am looking for a journal which indexed, high response and fast publication in the field of "Facility Management & Management Systems" in Healthcare.
I have three drafts on:
  • Development of a diagnostic tool for Facility Management System in the health sector.
  • Case study of the diagnosis of a Facility Management System in a Colombian hospital.
  • Development of a hospital infrastructure management model based on Facility Management System harmonized with Colombian and international health quality standards.
Kindly, share your experience and recommendations.
Thank you and greetings.
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Sobur Setiaman, I had already taken into account several of the options that you have indicated to me, however, it is difficult for many of these journals to have a scope aligned with our research.
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Currently, I am working on a collective book project entitled "Healthcare Supply Chain: Challenges and Opportunities for Improving Healthcare" to be published with Springer as part of "the Integrated Science Series". This project is structured around 4 main parts: Part 1: Modeling & Optimization of the Hospital Supply Chain and Safety of Care Units Part 2: Integrated management of health products: Supply, storage and waste Part 3: Patient flow optimization and transport logistics for healthcare services. Part 4: Revolution of the hospital supply chain: Information systems, artificial intelligence, digital transition and innovative technologies
If you are interested in taking part in this project, please let me know.
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The Patient-centered healthcare approach involves empowering patients to take an active role in their care and necessitates that healthcare professionals possess strong communication skills and effectively address patient needs. Additionally, the approach prioritize physical comfort and emotional well-being, as well as respect for patient and family preferences, values, cultural traditions, and socioeconomic conditions.What is the role of f patient-centered healthcare approach in developing medical education curriculum?
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Thank you for the question and the answers above! Besides what you have already highlighted, according to our experience as both lecturer and researcher in medical schools, including patient-centeredness if fundamental to train the future healthcare professional's humanistic skills, which include not only situating and empowering the patients, but also situating the healthcare professional itself as la person dealing with another person.
Students report difficulties to face something as basic as learning how to deal with another human being. Moreover if this human being is in pain, scared, dis-eased and you are the one expecting to be helpful. Medical training is focused on data analysis, decision making, a precise knowledge of pathology, etcetera. Which enclose them in the amaze and the demand of their discipline. But nobody teaches them how to BE WITH a person in need/pain/despair/scared. Some of our students face severe mental health problems when facing real patients/people, and report they do not feel enough prepared by the training methodologies, despite all the readings, exercises, simulations, etc.
It seams that students should be exposed to people/patients since the early years of their training, and not only during interships, to really benefit from-and assimilate a patient-centered healthcare approach.
Thank you.
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Dear Researchers and Academicians,
We are pleased to announce the Call for Papers for our upcoming book on "Secure Big-Data Analytics for Emerging Healthcare in 5G and Beyond: Concepts, Paradigms, and Solutions". The book aims to explore how big data analytics (BDA) can be used securely in emerging healthcare settings leveraging advanced technologies such as 5G networks.
The following tracks will be covered:
Chapter 1: Introduction to Secure Big-Data Analytics in Emerging Healthcare
Chapter 2: Big Data Analytics (BDA) in Healthcare: Security Challenges in Healthcare Big-Data Analytics
Chapter 3: Overview of 5G and beyond Networks: Limitations of 4G-LTE
Chapter 4: Privacy-Preserving Techniques for Big-Data Analytics in Healthcare
Chapter 5: Secure Data Sharing and Collaboration in Healthcare Analytics.
Chapter 6: Trust and Governance in Healthcare Analytics with secured BDA and operational Challenges.
Chapter7 : Decentralized BDA Healthcare Infrastructures.
Chapter8 : Integration of B5G with Big Data forHealthcare:
Big Data-Driven Networking.
Chapter9 : DistributedAnalyticsforSecureandScalableHealthcareApplications,
Chapter10 : CaseStudiesandBestPracticesinSecureHealthcareAnalyticsUseCases.
Important Dates:
Abstract submission deadline - September 10th ,2023
Full chapter acceptance notification - Oct 15,2023
Please note that all submitted papers will undergo a rigorous double-blind review process by an international committee consisting of subject matter experts with significant research experience leading towards better research output
Please prepare the file for abstract for inclusion
Prepare a good chapter of 20-25 pages as per the IET author guidelines. Please refer the guidelines at https://www.theiet.org/publishing/publishing-with-iet-books/guides-and-resources/
Best regards,
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Interesting.
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AI is advancing rapidly. We have seen many drawbacks with the LLM recently. We need to rethink how to train LLMs especially in the healthcare sector.
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I support Lev Pestrenin comment.
Addition my view on issue:
1. The patterns and presentations of diseases are always changing. Sometime Experts become confused to diagnosis.
2. In future cases of "Rare diseases" will rise
3. Number of cases on multiple NCDs is rising
4. Mechanical error cannot ignored
beside above-mentioned there were other issues will discover day by day.
Best is NOT ALLOW AI TO DIRECT HEALTH SECTOR
Next, can use AI to assess the stander only. For example, X-ray lung : AI will said the normal things only that we study in medical book. Doctors will assess abnormal X-rays only. Then risk for patient will reduce.
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The Plan-Do-Study-Act (PDSA) cycle is a potent tool for continuous improvement to enhance processes and achieve superior outcomes. The effectiveness, simplicity, and adaptability of this approach provide significant benefits to healthcare professionals to incorporate these concepts into their practice. By using the PDSA cycle in patient care, they can identify and address potential risks, improve patient outcomes, and foster a culture of continuous improvement in healthcare settings.
What is your opinion?
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Thank you for an interesting discussion topic!
In my opinion, the PDSA cycle can indeed be used in healthcare, but only in relation to those processes that are built and documented in the form of business processes (in the classical sense)
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Currently, I am working on a collective book project entitled "Healthcare Supply Chain: Challenges and Opportunities for Improving Healthcare" to be published with Springer as part of "the Integrated Science Series". This project is structured around 4 main parts: Part 1: Modeling & Optimization of the Hospital Supply Chain and Safety of Care Units Part 2: Integrated management of health products: Supply, storage and waste Part 3: Patient flow optimization and transport logistics for healthcare services. Part 4: Revolution of the hospital supply chain: Information systems, artificial intelligence, digital transition and innovative technologies we would like to associate a contributor (Chinese, Indian or other). If you are interested, please contact me by e-mail : imane.moufad@usmba.ac.ma
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Thank you very much for your reactivity and your feedback
it's really very interesting
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Please give me some scientific evidence from the perspective of implementatiion science
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In order to build real-time applications and services in the field of the Internet of Medical Things (IoMT) and healthcare, which communication protocols do you think would fit? And why? - would like to know your thoughts on this.
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Dear Anatol Badach,
Thanks for sharing these resources, especially the CoAP poster you developed - a very interesting summary of the protocol!
I usually prefer the MQTT protocol because of the offered QoS levels over TCP, however, CoAP is a powerful UDP alternative that might be a good option for healthcare IoT services.
Best of luck!
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Digital Healthcare is rapidly penetrating markets, and wearables are the main tool for that.
Could you please advise about companies that supply products in such a domain?
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Additional List: Fitness-tracking bands from brands like Moov Now, Fitbit, Amazfit, Garmin, Huawei, Xiaomi, Lenovo etc.
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Since the start of the COVID-19 Pandemic, many governments and private organizations allocated large sums of money to fund projects dealing with various areas related to this virus. The vaccine is the most prominent area but detection, caring and monitoring of the patients revealed that the current medical equipment is not adequate and sufficient. Are these funding going to lead to invention or innovation? have you seen any report of innovation in medical technology in your community?
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Yes, the COVID-19 pandemic is likely to serve as an engine for innovation in medical technology. The unprecedented challenges posed by the pandemic have driven the healthcare and medical technology industries to rapidly develop and adopt innovative solutions to address the crisis. Here are some ways in which the pandemic has accelerated innovation in medical technology:
  1. Vaccines and Therapeutics: The urgent need for vaccines and therapeutics to combat COVID-19 led to unprecedented global efforts in research and development. The development and deployment of mRNA vaccines, such as those from Pfizer-BioNTech and Moderna, showcased the potential of new vaccine technologies.
  2. Telemedicine and Remote Healthcare: The pandemic pushed the adoption of telemedicine and remote healthcare solutions to provide medical services to patients while minimizing in-person contact. Virtual consultations, remote monitoring, and telehealth platforms have become more widely accepted and integrated into healthcare systems.
  3. Digital Health Solutions: Contact tracing apps, health monitoring wearables, and digital health platforms have been developed or repurposed to help track and manage the spread of the virus, monitor patients' health remotely, and provide real-time data for public health officials.
  4. Medical Imaging and AI: Artificial intelligence (AI) and machine learning algorithms have been applied to medical imaging, such as chest X-rays and CT scans, to aid in the detection and diagnosis of COVID-19. These technologies have shown promise in enhancing diagnostic accuracy and efficiency.
  5. Ventilator Innovation: The high demand for ventilators during the pandemic spurred efforts to develop and produce new and more efficient ventilator models to support patients with severe respiratory issues.
  6. Rapid Diagnostic Tests: The need for quick and accurate COVID-19 testing led to the development of various rapid diagnostic tests, including antigen tests and molecular point-of-care devices.
  7. Supply Chain and Logistics Innovations: The pandemic highlighted vulnerabilities in the medical supply chain. Innovations in supply chain management and logistics have been explored to ensure the efficient distribution of medical equipment, PPE, and vaccines.
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📢 #callforbookchapters for our new book "Federated Learning and AI for Healthcare 5.0"
Editors: Ahdi Hassan, Dr. Pronaya Bhattacharya, Dr Vivek Kumar Prasad Dr Pushan Kumar Dutta Robertas Damaševičius
Submission Deadline: September 17, 2023
We invite researchers and practitioners to contribute to an upcoming book that explores the transformative approach of Healthcare 5.0 and its practical implementation through Cloud Computing, Data Analytics, and Federated Learning. This comprehensive volume aims to shed light on the paradigm shift happening in the Healthcare sector, emphasizing patient-centric ecosystems and personalization.
In this comprehensive book, readers will gain a deep understanding of the transformative shift taking place in the Healthcare sector, focusing on patient-centric ecosystems and personalization. The editors have meticulously curated chapters that explore the critical role of Cloud Computing in Healthcare 5.0, highlighting its significance in handling and analyzing vast volumes of Healthcare data, Electronic Health Records, and Real-Time Analytics. Furthermore, the book addresses security and privacy concerns in Cloud-based healthcare systems, presenting innovative solutions and frameworks. The emerging concept of Federated Learning in healthcare is also examined, encompassing its models, architectures, and associated security and privacy challenges. Practical insights through case studies and simulations offer real-world applications of these concepts, while emerging technologies like Quantum Computing, Blockchain-based FL Cloud services, and Intelligent SaaS APIs are explored for their potential in reshaping Healthcare 5.0.
Submission Procedure:
Authors are invited to submit a chapter proposal (1,000-2,000 words) by September 17, 2023 explaining the mission and concerns of their proposed chapter. Full chapters should be submitted by October 17, 2023, following the guidelines available at the link below.
For chapter proposal submission and detailed guidelines, please visit:
👉 Call for Chapters: https://lnkd.in/dzJ8GMMz
or submit directly to https://lnkd.in/diauDpNY
No submission or acceptance fees apply, and all manuscripts undergo a double-blind peer review process.
Don't miss this opportunity to contribute to the evolution of Healthcare 5.0 and shape its future with your insights. We look forward to receiving your proposals and chapters!
#Healthcare5 #CloudComputing #FederatedLearning #DataAnalytics #BookPublication #CallForPapers #ResearchOpportunity #healthcare #learning #data #opportunity #computing #personalization #analytics
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Nice thought, I will circulate this in my university (University of Dhaka, Bangladesh).
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Liminality was originally developed from ethnographic analysis of rites of passage, specifically related to spirituality. How does this translate to health education?
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Liminal transition is a term used to describe the psychological process of transitioning across boundaries and borders. It is associated with ambiguity, loss of former structural ties and disorientation
In healthcare, liminal transition can be applied to the experiences of patients who are transitioning between different stages of care or different healthcare providers. For example, patients who are discharged from the hospital and are transitioning back to their home environment may experience liminal transition.
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AI in the healthcare sector is a broad term that refers to the use of machine learning algorithms to imitate human cognition to analyze, understand and present complex medical data.
Invest in high value AI use cases in healthcare
It is important to use machine learning in areas where it can provide effective solutions.
  • Good fit for ML: Most of these areas that present complex problems and large volumes of related data.
  • Good fit for rules-based solutions: Simple problems with known solutions.
  • Humans: Domains with limited data and complex problems. However, approaches like few shot learning can change this in the future.
source: AI in Healthcare: Benefits and Challenges in 2023 https://research.aimultiple.com/healthcare-ai/
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The integration of AI, blockchain, and the Internet of Things (IoT) in the healthcare sector has the potential to revolutionize healthcare delivery, improve patient outcomes, and enhance operational efficiency. Here are some recent advances and challenges in implementing these technologies:
Advances:
  1. AI in Healthcare: AI is being used in various healthcare applications, including disease diagnosis, medical imaging analysis, drug discovery, patient monitoring, and personalized medicine. Recent advances include the development of deep learning algorithms for improved accuracy in medical image analysis and natural language processing techniques for clinical decision support.
  2. Blockchain in Healthcare: Blockchain technology offers secure and transparent storage and sharing of healthcare data. It can enable secure patient data exchange, interoperability of electronic health records (EHRs), and streamline healthcare data management. Recent advances include the development of blockchain-based systems for patient consent management, data provenance, and secure sharing of medical records.
  3. IoT in Healthcare: The IoT has facilitated the collection of real-time patient data through wearable devices, remote monitoring systems, and smart medical devices. IoT applications in healthcare include remote patient monitoring, telehealth, medication adherence, and health tracking. Recent advances include the integration of IoT devices with AI algorithms for predictive analytics and early detection of health issues.
Challenges:
  1. Data Security and Privacy: Implementing AI, blockchain, and IoT in healthcare requires addressing data security and privacy concerns. Protecting sensitive patient data from unauthorized access or breaches is critical. Ensuring data privacy and compliance with regulations like HIPAA is a challenge when implementing these technologies.
  2. Interoperability: Achieving interoperability between different healthcare systems, devices, and platforms remains a challenge. Integrating AI, blockchain, and IoT solutions with existing healthcare infrastructure and EHR systems requires standardized data formats, protocols, and collaboration among stakeholders.
  3. Ethical and Legal Considerations: AI algorithms and automated decision-making raise ethical concerns, including accountability, bias, and transparency. Ensuring fairness and avoiding bias in AI systems is crucial. Additionally, legal considerations surrounding data ownership, consent, and liability need to be addressed when implementing these technologies.
  4. Regulatory Frameworks: Healthcare regulations and policies need to adapt to the rapid advancement of AI, blockchain, and IoT. Establishing clear regulatory frameworks that govern the use of these technologies, ensure patient safety, and protect against misuse is essential.
AI Assessment Tools: AI assessment tools aim to evaluate the performance, fairness, and safety of AI systems. They help assess biases, model accuracy, robustness, and compliance with ethical guidelines. Some popular AI assessment tools include IBM AI Fairness 360, Google's What-If Tool, and Microsoft's InterpretML. These tools assist in evaluating AI models, identifying potential issues, and facilitating the development of responsible AI applications.
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I have been experimenting with machine learning in JavaScript, please, let me know also your experience! 😎🤗😍
In attachment a preprint!
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Feel free to add more details on your perspective!
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Hello, can someone indicate some free journals to publish articles on research methods in the healthcare field?
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I agree with Ian F Burgess you really can't equate pay to publish open access with bad journals - many excellent journals are open access only and have been so for some time. However, the majority of well-recognised journals in most fields still retain the traditional model of subscription access in which there is no fee to publish (although as mentioned, most of these now operate a hybrid model where open access is available for a fee). In terms of your specific topic - research methods in healthcare - there are lots but it depends on the type of methods article you have in mind. I'd suggest you look at the impact factor list for relevant disciplines (health sciences/services, nursing, etc,) and draw up a shortlist then do a bit of homework on the sort of articles each publishes. I can imagine that there is a tendency for methods-focused journals to be more likely to be open-access (only) but I am sure you will find one. This will help you avoid any predatory journals (but if you don't want to pay an APC you'll be avoiding them anyway)
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Dear ResearchGate members,
My name is Txema Romero. I live and work in Barcelona (Europe).
I am interested in implementing cybersecurity measures in the healthcare sector.
I would like to write a technical report about how to apply cybersecurity to the healthcare sector. It would be a review of the different tools and how to apply them (e.g, for ethical hacking, risk analysis, risk mitigation action plans, cybersecurity design directives, etc.).
Could you please share with me any information related to this topic?
Thank you. I look forward to hearing from you.
Regards,
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This is the topic of the Horizon Europe project NEMECYS (soon available at https://www.nemecys.eu). The first public deliverables will be submitted next month, so watch this space.
In the meantime, here are some previous papers on the topic:
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Contemporary topics for Research in Digital Healthcare?
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Economic evaluation research
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Ich studiere Management im Gesundheitswesen im 2. Semester an der kath. Hochschule in Freiburg. Ich benötige den Volltext für eine Gruppenarbeit.
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I would not expect that it fits in the business model of the copyright holder to make the book text available online for free.
But the book is available in the
Universitätsbibliothek Freiburg (call number GE 2021/6973) and
Bibliothek der Pädagogischen Hochschule (3 copies with call numbers Psy K 50: 182 f-h)
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Objectives
· Analyse the current AI/Robotic offerings in diagnostic imaging healthcare
· Identify the relevant actors in harnessing robotics/AI in healthcare
· Explore the role of the management/radiologist in ensuring AI improves service performance and patient experience
· Examine the ethics of AI/robotics in the workplace
· Provide fit-for-purpose recommendations on diagnostic imaging healthcare operational pathway improvement
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In the portfolio we have different Aiforia Clinical Suites for some of the most prevalent cancers in the world: prostate, breast, lung, and more…!
The Suites are a portfolio of tools containing: a clinical viewer, platform for QC and adaptation and an AI model for diagnostic support. Explore our already CE-IVD marked tools and what’s to come!
Regards,
Shafagat
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Pleased to share "Call for Chapters" for my Book Edit titled "Using Crises and Disasters as Opportunities for Innovation and Improvement". Contributions are invited from the potential authors related to the innovations and improvements in various domains including Healthcare, Education, Remote Work, Environment, Social Connections, etc. The detailed call for chapters can be found below.
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You can visit the link to call for chapters
Do share it in your circle.
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I want to transfer the healthcare data, which includes demographic and multimedia such as medical imaging, etc., from Asia & the US to Europe and vice versa. So the healthcare data will be collected from various hospitals and clinical centers in India, the US, and EU countries. The questions are as per below: Q1. I know that i can transfer demographic data in anonymized or pseudo codes form, but how can I generate anonymized or pseudo codes for multimedia data that contain patient identity? Q2. How can i use healthcare data in Europe countries when consent was taken in other countries of different parts of the world? The patient consents to data per legal regulations of other countries, such as the US & India. While EU countries have data protection laws such as GDPR. In contrast, the US has health data protection laws like HIPAA. I am looking for some solutions to these two questions.
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Peter Donald Griffiths Thank you for your answer. But my real consent is how we can use this for practical use because a lot of legal terms will be fulfilled to use this data in the EU. We already have patients' consent during data collection, but it is insufficient for data transfer.
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Although the application of IoMT technologies to healthcare brings many benefits, it also brings great security challenges. Other IoT devices are also exposed to security threats, but the consequences that can arise are much greater in the case of attacks on IoMT devices, since they can also cause loss of human life. Further development of IoMT devices will have to ensure adequate mechanisms to protect the security of the users of these devices.
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There is no one technology that can completely improve the security of the medical Internet of Things (IoT) on its own. Instead, a combination of technologies, processes, and best practices is necessary to ensure the security of medical IoT devices and networks. However, some important technologies that can contribute to improving the security of medical IoT include:
  1. Blockchain: Blockchain technology can help to create a secure and decentralized network for storing and transmitting medical data. This can help to prevent unauthorized access and tampering of data.
  2. Artificial Intelligence (AI): AI can be used to detect and prevent cyberattacks on medical IoT devices and networks. It can also help to identify and respond to anomalies in the system that may indicate a security breach.
  3. Secure Boot: Secure boot is a process that verifies the integrity of the software running on a device when it is turned on. This can help to prevent malicious software from being installed on the device.
  4. Encryption: Encryption is a method of converting data into a code that can only be deciphered by authorized parties. It can help to protect medical data as it is transmitted over the internet.
  5. Multi-Factor Authentication (MFA): MFA is a security process that requires users to provide more than one form of identification to access a device or network. This can help to prevent unauthorized access to medical IoT devices and networks.
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A clinical attachment may also go by the name ‘observership’. Essentially what you would be doing is following a team of healthcare staff at a hospital in a department you’d be interested in working in the future. Ideally, this would allow you to understand how that particular specialty or department worked, as well as get an idea of the NHS infrastructure as a whole.
This can also be a good way to get a small refresher of what the medical field is like if you’ve had a significant gap or just feel nervous about starting in the NHS.
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This should be a balanced decision made after consideration of your situation and expectations. While many feel that a clinical attachment in the UK is a golden ticket to getting a job, it may not always hold true. A hospital is under no obligation to offer you a post just because you have done an attachment with them.
This can vary greatly depending on what you’ve signed up to do. Some hospitals may only allow you to take on ‘observer’ status, especially if you do not yet have GMC registration (most clinical attachments come with the stipulation of having registration, but a few will take on those who have at least passed PLAB 2). Typically clinical attachments in the UK last from 4-6 weeks.
You can more or less expect to start out with limited responsibilities under the watchful eye of a consultant who may then slowly delegate minor tasks to you as they see fit such as:
  • Clerking (admitting) patients
  • Attending ward rounds
  • Speaking to patients/taking their history
  • Directly observed clinical examination of patients
  • Observing surgical procedures.
The easiest way would be to contact the HR of any hospital you’d be interested in pursuing the clinical attachment at.
Email a consultant
If you personally know a consultant in the department you wish to be in, that would make your work easier.
Google!
Just by typing in ‘clinical attachments in UK’ or ‘NHS clinical attachments in <city>’ will get you many results.
Ask a Friend or Colleague
If you know someone who has done an attachment, ask them how they got it. Otherwise, you can post in the Forum for International Doctors in the NHS Facebook group and ask others there.
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Hi there,
I have been looking for datasets that I could use for appointment scheduling in healthcare. I have been looking in the usual places like Kaggle and trying to find data cited in related literature but I am not finding anything.
Any help would be greatly appreciated!
Thank you
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I am completing a section of my course in Health Care Management in the area of Organizational Behaviors - Helathcare
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Yes, I can help in this topic with my business experience.
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Health 4.0 is a term used to describe the integration of advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, into healthcare systems. The goal of Health 4.0 is to improve patient outcomes, streamline hospital operations, and reduce healthcare costs.
One of the key components of Health 4.0 is the use of electronic health records (EHRs) and other digital technologies to improve communication, collaboration, and data sharing among healthcare professionals, patients, and caregivers. This can lead to more efficient and personalized care, as well as improved patient outcomes.
Another important aspect of Health 4.0 is the use of IoT devices, such as wearable devices and remote monitoring systems, to collect real-time data on patients' health and activity levels. This data can be analyzed using AI and machine learning algorithms to identify patterns and predict potential health issues before they occur. This can help healthcare professionals to provide more targeted and proactive care to patients.
Health 4.0 also includes the use of telemedicine, which allows patients to receive medical advice and treatment remotely, either through video conferencing or through remote monitoring devices. This can improve access to healthcare for patients living in remote or underserved areas, and also allows for more efficient use of healthcare resources.
Overall, Health 4.0 is a holistic approach to healthcare that aims to improve patient outcomes and reduce costs by leveraging advanced technologies in a way that is integrated and coordinated across the entire healthcare system.
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Dear Professor,
Thank you for initiating a discussion on such an interesting topic.
I come from the field of Management. So, I am not directly related to this field. But, when it comes to anything regarding health, then who cannot be related. And, so I am getting into it.
When we start to talk about something like Health 4.0, we need to consider two important aspects related to it. First of all, the required infrastructure. Secondly, the finances involved. In my country (India), both these are obstacles. That Health 4.0 is not a significant matter of discussion anywhere.
I stay in Salt Lake City, Kolkata, West Bengal, in the eastern part of India. Yesterday, my 79 year old father got operated in his left eye for cataract. The surgeon was Dr. Pankaj Rupauliha. During the day, when I was there I was thinking that its been more than 75 years of independence. But still, we have not been able to help common people get access to a surgeon like Dr. Rupauliha. They have to depend on the quacks.
Best regards,
Anamitra.
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Information and Communication Technologies (ICT) have played a significant role in identifying COVID-19 positive patients. Some examples include:
  • Telemedicine: ICT has enabled remote consultations between patients and healthcare professionals, which has helped to reduce the spread of the virus and reduce the burden on hospitals and clinics.
  • Electronic Health Records (EHRs): ICT has allowed for the digitization of health records, which has made it easier for healthcare professionals to access patient information and track the spread of the virus.
  • Contact Tracing: ICT has been used to develop contact tracing apps, which use Bluetooth technology to track and alert individuals who have come into contact with a positive case.
  • Remote Monitoring: ICT has been used to monitor patients remotely, using devices such as wearable sensors to track vital signs and alert healthcare professionals to potential complications.
In summary, ICT has played a vital role in identifying and tracking COVID-19 positive patients, enabling healthcare professionals to make more informed decisions and take necessary actions in a timely manner.
Telemedicine: ICT has enabled remote consultations between patients and healthcare professionals through various means such as video conferencing, phone calls and messaging. This has been particularly useful during the COVID-19 pandemic, as it has allowed patients to receive medical advice and treatment without having to visit a hospital or clinic in person, which reduces the risk of transmission. Telemedicine has also allowed healthcare professionals to triage patients remotely, identifying those who are most at risk and need to be seen in person, and enabling others to receive care and advice from the safety of their own homes.
Electronic Health Records (EHRs): ICT has allowed for the digitization of health records, which has made it easier for healthcare professionals to access patient information and track the spread of the virus. This has been particularly useful in identifying patients who have been in close contact with a positive case, as well as tracking the spread of the virus within communities. EHRs can also be used to identify patterns in the spread of the virus, which can help healthcare professionals and policymakers to better understand the virus and develop effective strategies to combat it.
Contact Tracing: ICT has been used to develop contact tracing apps, which use Bluetooth technology to track and alert individuals who have come into contact with a positive case. These apps have been used in many countries to track the spread of the virus and alert individuals who may have been exposed, enabling them to take necessary precautions and get tested.
Remote Monitoring: ICT has been used to monitor patients remotely, using devices such as wearable sensors to track vital signs and alert healthcare professionals to potential complications. This has been particularly useful for patients who are self-isolating or who have been discharged from hospital but are still recovering. Remote monitoring enables healthcare professionals to monitor patients remotely, which can help to identify and intervene early if any complications arise.
In summary, ICT has played a vital role in identifying and tracking COVID-19 positive patients, enabling healthcare professionals to make more informed decisions and take necessary actions in a timely manner. Telemedicine and EHRs have improved accessibility, Contact tracing has helped to track the spread of the virus, and Remote monitoring has improved patient outcomes by enabling healthcare professionals to intervene early if any complications arise.
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Velibor Božić Aside from the foregoing, ICT has played a role in the production and dissemination of COVID-19 vaccines. For example, ICT has been used to handle vaccination delivery, including inventory management and appointment scheduling. It has also been utilized to offer real-time data on vaccine distribution and administration, assisting in the delivery of immunizations to those in greatest need.
The utilization of big data and analytics is another significant part of ICT in the battle against COVID-19. This involves tracking the spread of the infection and identifying possible hotspots using data from multiple sources, such as social media. It also incorporates the use of predictive analytics to estimate viral transmission and assist healthcare practitioners.
Overall, information and communication technology (ICT) has been critical in the identification, tracking, and care of COVID-19 positive patients. It has helped healthcare workers to make better informed decisions, enhance patient outcomes, and more effectively manage viral propagation.
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Can we call health pods / IoMT devices or remote monitoring in hospital as Phygital?
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Great - can we define it as Physician monitoring digital technology equipment virtually for his patient, through "Internet of Medical Things"
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While I am crossing two paths, such as medicine and technology, I see that there are often barriers to understanding the two, but I want to know from the researchers who deal with both what challenges still exist.
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I am not a researcher, but dealing with policy formulation and strategy design in the context of digital transformation of health systems. Among what I have observed almost consistently over time, there is a lot of naivety: on site of technocrats as it concerns the complexity and "maturity" of the health care delivery system, on side of health professionals the expectation, technology would fix their problems ..., compounded by a lack of patience of politicians, policy makers and the industry.
Understanding 'maturity' of health systems for applying digital technologies is a key factor for designing systems that work. See for example:
Carvalho, J. V., Rocha, Á., van de Wetering, R., & Abreu, A. (2019). A Maturity model for hospital information systems. Journal of Business Research, 94, 388–399. https://doi.org/10.1016/j.jbusres.2017.12.012
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This research is for my dissertation where I want to analyze VRET and explain why we should implement it more in healthcare.
I require data to analyze the same and explain further.
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Hola, estimado colega, saludos cordiales. Que bueno es encontrar personas que hagan psicoterapia y con las que se puede compartir. Trataré de responder, con mi modesta opinión, las tres preguntas implícitas en su escrito.
Cada día surgen en el mundo, más y nuevas técnicas de psicoterapia y una de ellas es a la que usted se ha adscrito. Sin importar la técnica de psicoterapia que un terapeuta aplique, siempre encontraremos un objetivo común, que no es otro que calmar o hacer desaparecer la ansiedad de nuestros casos. Cualquiera que sea el camino que siga, la escuela que siga, la corriente que siga, la técnica que siga, su objetivo va a ser siempre el mismo.
Además, nuestros pacientes acuden demandando ayuda porque se sienten agobiados por la ansiedad, que en su caso es paralizante y no les permite satisfacer las demandas de la vida, por tanto frente al miedo, aparecerán los mecanismos de evitación o enfrentamiento patológico a lo temido o a la situación que ocasiona miedo y frente a ese miedo, lo primero que harán es huir, huir de lo temido, en segundo lugar buscarán apoyo y en tercer lugar necesitan patológicamente también, reafirmación social, estas tres predisposiciones patológicas mantienen al sujeto atado a sus miedos, porque actúan como reforzadores negativos, que lo “calman por breve plazo”, para nuevamente aparecer la ansiedad o miedo que los mantiene sumergidos en su drama personal como un círculo vicioso.
Por otra parte, en la actualidad por vivir en un mundo tan convulso, donde los problemas superan a los tradicionalmente observados a lo largo de la historia, se aconseja para todos los psicoterapeutas, prepararse y conocer todas las escuelas de psicoterapia que han existido a lo largo de la historia de la humanidad, conocer, por su gran cantidad de técnicas, las más practicadas a lo largo de los años; se trata de que el profesional tenga una vasta formación en psicoterapia, que sea un experto conocedor de las estrategias en psicoterapia, recursos en psicoterapia y técnicas en psicoterapia, que sea un gran conocedor del manejo de los momentos en una psicoterapia y, por supuesto, que sea un gran conocedor de la técnica a la cual se adscribe. ¿Por qué?
Porque los problemas que se enfrentan hoy en la práctica médica psiquiátrica, nada tienen que ver con los problemas que se enfrentaban años atrás, desbordan la especialidad y desbordan, metafóricamente hablando, las ciencias médicas y, por tanto el abordaje que se exige hoy para el afrontamiento de fenómenos causales complejos, exige el uso de técnicas multimodales, abordarlo desde diferentes aristas, desde diferentes ángulos y, para no ser eclécticos en psicoterapia sino ser integrativos y manejar la conducta del paciente con la estrategia, método y técnica en psicoterapia que él necesita, debemos estar adscritos a una técnica en psicoterapia la cual debemos conocer hasta la saciedad y, por sobre todas las cosas, durante todo el proceso de tratamiento no podemos perder el basamento teórico de la técnica de psicoterapia que estoy aplicando (de donde viene el VRET y conocer las demás psicoterapias de la escuela conductista y neo conductista, cuáles son sus momentos, es decir no perder la razón que le da sustento a la técnica VRET por quien la aportó, bajo ningún concepto). Esto es lo que le permite ser integrativo en psicoterapia y darle a cada paciente lo que necesita y no caer en el eclecticismo de conveniencia tan frecuente en nuestros tiempos.
Muy mal el ejemplo desde mí, pero por ética no puedo hacerlo con otro. Por ejemplo, yo practico hace años una técnica cognitiva, publicada en Research Gate, sin perder el basamento teórico de esta psicoterapia, que es la elevación de la ansiedad hasta el máximo tolerable para el paciente, grupo, pareja, familia y, hasta que no vea que muchos han roto la barrera emotivo racional en el grupo, no comienzo con el manejo en la sesión de las tres predisposiciones que aparecen frente al miedo (la huida, la búsqueda de apoyo y la necesidad de reafirmación social o necesidad de reconocimiento social), ya una vez logrado un clima emocional donde muchos hayan hecho su experiencia emocional correctiva dentro de la sesión, comienzo a integrar técnicas, recursos y estrategias de otras psicoterapias y escuelas como la de Albert Ellis, del análisis transaccional de Eric Berne, de la neurolingüística, de Beck, la escuela Gestáltica, de la centrada en el cliente, entre muchas más, SIN PERDER EL BASAMENTO TEÓRICO DE LA PSICOTERAPIA DE MULTIEMPUJE QUE HAGO; para luego del cierre, hacer una relajación autógena de Shultz, de Jacobnson, una visualización curativa o una hipnosis ligera colectiva durante media hora, para calmar la ansiedad y que puedan continuar reflexionando y enfrentar el resto de las tareas del día. Como puedes apreciar, mi fuerte es la psicoterapia de multiempuje y en dependencia a lo que necesite cada uno, con lo que necesite cada persona en la psicoterapia es que hago valer como enfoque integrativo. No es lo que yo quiera que él vea, es lo que él necesita.
Como puedes apreciar, ahora estoy en condiciones de responder tu primera interrogante, aunque todas están parcialmente resueltas. Yo no diría que esa técnica está diseñada para utilizar como complemento y para ayudar a las personas que necesitan rehabilitación, sería una visión muy reduccionista, todo depende del ingenio del psicoterapeuta. Esta técnica como todas las que vienen de la escuela conductista, me recuerda a la desensibilización progresiva de Wolpe, al modelado de acercamiento gradual tan utilizado en psicoterapias para tratar disfunciones sexuales y los miedos en los niños; pero el alcance se hace mayor, en la medida que puedas verla como una modalidad de psicoterapia y, como en todas, dentro de las variables implicadas en el proceso, esta la personalidad del terapeuta, la suya (incluyo su conocimiento de psicoterapia), pues hacer psicoterapia es arte que no todos podemos hacer. En cuanto a si sirve solo para el trastorno de estrés postraumático y las fobias, nada más, lo pongo en duda, todo está en el conocimiento del terapeuta y de las habilidades que ha adquirido en el tiempo.
Otro cuestionamiento es si esta técnica tiene sus contraindicaciones, yo soy del criterio que la práctica te enseña quien debe tratarse con esta técnica o no y, por lo general muchas técnicas tienen contraindicaciones, fíjate en la que hacemos en mi centro como tiene contraindicaciones, eso no demerita la técnica, todo lo contrario, la valoriza porque cuidas al paciente.
Por lo que dices, en el último párrafo, veo que has analizado como quieres introducirle una serie de técnicas que te garanticen una mayor resiliencia del sujeto; soy del criterio que toda psicoterapia habilita en resiliencia a toda persona. Sugiero valores el entrenamiento en habilidades sociales como el manejo de lo tácito y lo asertivo.
Hasta aquí mi respuesta, espero satisfacer tus expectativas y desearte éxitos profesionales. Intuyo que eres una persona joven, en franco proceso de desarrollo como psicoterapeuta, con muchas inquietudes y con una mente abierta al diálogo. Decirte que, en lo que te pueda ayudar, cuenta conmigo, es por eso, por lo que le está pasando, que en mi país se supervisa a diario al psicoterapeuta hasta que pueda correr solo.
TODA PSICOTERAPIA ES BUENA Y TODAS AYUDAN AL PACIENTE, SOLO DEPENDE DE SU BUENA PRÁCTICA, CONOCIMIENTO Y HABILIDADES DEL EQUIPO, HAY QUE RECORDAR QUE EN PSICOTERAPIA UNA PALABRA, BIEN O MAL DICHA, CURA O MATA.
Si en algo te ayudé, me sentiré satisfecho, saludos cordiales colega, continúa así.
Prof. Lajús.
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I am searching for a conference to submit my paper but many seems fake. kindly suggest me a conference accepting abstracts on nanobased antibacterial materials.
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Following
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The mean time lag from clinical development to use of these agents was 11.13 years (range, 8.57 to 12.90 years) for biological drugs for rheumatoid arthritis in Brazil. How about other countries?
For more information, please see the paper below:
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Yes,sir it's true.
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I am trying to figure out the best way to move forward, career-wise. I feel there are two large parts of me that need to be satisfied. The first is my curious nature and enjoyment of knowledge. The second is my desire to help people (directly). I joined a PhD program because of my curiosity, it was basically a default decision/obvious next step. Thinking generally, this PhD program allows me the time to develop the skills to ask and answer scientific questions (ie explore my curiosity): finding the appropriate questions to ask and how to answer them with literature reading, hypothesis generation, experimental design, benchwork, and scientific communication. However, I definitely feel I am missing the other major part of me, the desire to help people. I am currently working on cancer biology, which is very interesting and important, but to me it only helps people indirectly (advance the field, provide theoretical targets, etc.). I feel I am missing a humanitarian, human to human connection. If the action is to explore my curiosity, then the motivation is to help people (I am not sure if this will make sense to anyone). Right now it feels as though I am only able to focus on being curious. I also feel that a PhD will only allow me to be curious and not allow me to help people individually. Please excuse my ignorance of the health field, but I think the inverse of this feeling is encapsulated by being a nurse. Where I would only be helping people and not able to also explore my curiosities as freely. This is why I think I am drawn to a MD/PhD. In my extremely limited mind, and knowledge of both fields (research/healthcare), it feels like having the trade skills of helping/treating people (MD) as well as the skills of exploration/curiosity (PhD) are what will be required for me to approach satisfaction. Granted I have no idea what is available, career-wise, for a PhD that allows direct helping of people (other than mentoring/teaching - which I am also interested in), and this is why I pose this question to everyone. I understand how little I know about the research field, as well as the healthcare field, and I am open to all points of view.
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Social work! You get to use your knowledge, be curious, and you can work with individuals or communities. And your research could shape policy. Yay!
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healthcare response rate
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Global Overview of Response Rates in Patient and Health Care Professional Surveys in Surgery: A Systematic Review - PubMed (nih.gov)
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Dear All,
Any body have any idea about "Privacy Preserving on Healthcare IOT based system"
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Thank you
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Hi, I am looking for surveys instruments to evaluate design of hospitals from a work environment perspective. Let me know if you have any tips.
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(PDF) Healthcare Evaluation (researchgate.net)
(PDF) Evaluation methods for hospital facilities (researchgate.net)
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What are some known weaknesses in non-traditional connected devices, like internet connected IVs, pacemakers, heart monitors, etc. and how they can be exploited to the detriment of the patient?
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Dear Rujin Hesen,
the use of Digital Twins (DTs) in the IoT will lead to major changes in healthcare.
This is illustrated by my figures:
Fig. 010154: Use of the Human Health Digital Twin
Fig. 010159: Health scenario with Human Health Digital Twin and Smartphone as Health Assistant
at the address:
Best regards
Anatol Badach
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SPSS or STATA? Python or R? Jamovi or JASP?
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R is a language, so you will find a lot of your early weeks (months!) spent learning how the language works and trying to remember your vocabulary. If you are also trying to learn data analysis at the same time, this results in constant interference between the task of language learning and the task of learning data analysis.
For these reasons I would recommend jamovi. The interface is transparently simple, and it encourages good data analysis habits. You can perform quite complex (and some very advanced) analyses in jamovi, and the library of modules is growing all the time.
For data manipulation and meta-data, Stata is remarkably powerful. Labelling variables, values, and datasets, merging, cleaning, consistency-checking are unrivalled. I know people who pre-process their data in Stata before moving it to R because of these strengths.
Both jamovi and Stata have excellent videos, and the Stata manuals are comprehensive, with every command illustrated with worked examples. You can learn a lot of stats from them!
One big plus to jamovi, of course, is that it's free!
Given that you are doing a masters, I would not recommend R. By the time you get up to speed, it may be time to go!
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Please help me in gathering data for a research on "Career Calling and Subjective Career Success" in IT and Healthcare sector employees.
I request you to fill out the form below to participate in the study if you meet the given criteria:
1. Working in the IT or Healthcare sectors
2. Have work experience of more than two years
3. Age above 18 years
If you are not qualified for the study, I highly urge you to share this with professionals you know in either field.
Our research study would be a unique contribution to the corporate world in understanding if employees who feel a calling towards their professional actually experience higher career success. It can also support making Employee Recruitment Programs more effective for the human resource departments of various organizations.
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Hello, I don't mean to be discouraging, but I feel some constructive criticism could help you obtain better data from your survey. When asking about the years of experience, make sure that the ranges do not overlap (your survey has 0-2, 2-5 etc., but it should be 0-2, 3-5 ...), as this can be confusing. Additionally, if you want data that is as accurate as possible, you should employ the services of an English language editor, as some of the questions are, at least to me, somewhat confusingly formed. Good luck with your research and best wishes :) !
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We're working on a free program to support new projects that connect AI / ML with IoT and IoMT technologies to address current and future healthcare challenges
The idea is to find out what tools and platforms would be useful across different projects, and then integrate them into a shared "sandbox" that could save time for researchers, and make collaboration between project teams easier. Our long-term goals is to help accelerate development of advanced telehealth applications, in order to improve healthcare access and equity.
If you are or have been involved in related projects, we'd like to ask you a few question (on phone or via email) to get your feedback on the concept.
Send me a message if you'd be willing to correspond, and please refer us to others you think might be interested.
Thanks very much!
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Great point, Shafagat Mahmudova and great reference.
We are definitely envisioning this as a support for prototyping, or perhaps pre-prototyping, when you are just testing various approaches or various components of the idea. And it would be pre-patient, before we need to deal with privacy and consent issues.
We're assuming that, if you prove out some of your early architecture decisions and build out a business case, you will start to move towards a first-draft operational model. At that point, there will be a variety of options, both for a secure data platform as well as AI tool platform.
One strategy in accelerating innovation is to lower friction at very early stages, e.g. reduce the cost of trying something out. That's what we're imagining, and why we're asking for feedback. What specific features / functions would be useful at that stage?
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Dear all
Anyone idea about research topic on "Privacy preserving on Healthcare IOT based system"
OR
Privacy preserving on Healthcare Edge or Cloud IOT based system"
Actually , I want to do research or Phd in Privacy on IOT system
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Thank you
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We need your expertise & opinion!
Please fill in this questionnaire:
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Is best to prevention also to treatment.
The best test option for screening of CRC is FIT test and consecutively colonoscopy.
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What are important factors affecting the selection of a destination country for job by a healthcare professional
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Hello. in my view, they are economic, social, technological, anthropological factors that, in a way, support the health professional in carrying out their activities.
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I'm trying to find good industry wide data on healthcare turnover (specifically nursing assistants) and how it accelerated during COVID-19. What resources are available? If you don't know specific healthcare data, I will also take general all industry wide acceleration information. Thank you in advance!
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Dear Ms. Thoebes!
You raised an important topic. I do really think that this problem needs a system perspective. So I searched for resources you might consider of value:
1) Davis, B., Bankhead-Kendall, B.K. & Dumas, R.P. A review of COVID-19’s impact on modern medical systems from a health organization management perspective. Health Technol. (2022). https://doi.org/10.1007/s12553-022-00660-z, Free access:
2) Hu, H., Wang, C., Lan, Y. et al. Nurses’ turnover intention, hope and career identity: the mediating role of job satisfaction. BMC Nurs 21, 43 (2022). https://doi.org/10.1186/s12912-022-00821-5, Open access:
3) Fronda, D. C., & Labrague, L. J. (2022).Turnover intention and coronaphobia among frontline nurses during the second surge of COVID-19: The mediating role of social support and coping skills. Journal of Nursing Management,1–10, Free access:
4) Mojgan Lotfi, Omid Zadi Akhuleh, Aysan Judi, Mohammadtaghi Khodayari,
Turnover intention among operating room nurses during the COVID-19 outbreak and its association with perceived safety climate, Perioperative Care and Operating Room Management, Volume 26, 2022, Free access:
Yours sincerely, Bulcsu Szekely
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How to manage the space allocation i.e. office space for healthcare professional, new clinical programs within the limits of facilities that are already at capacity?
What are the processes in place to allocate space?
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Thank you for your feed back .
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Dear Researchers,
The recent changes in the COVID-19 epidemic have led to the emergence of a new SARS-CoV-2 Variant of Concern (VOC), named "Omicron," and the number of Omicron cases were consistently increasing around the world. The health professional's knowledge is of utmost importance to prevent and control the spreading of the SARS-CoV-2 Omicron Variant of COVID-19. In this regard, we would likely to know the level of knowledge and Perceptions of health professionals about the SARS-CoV-2 Omicron Variant; this can provide a greater opportunity to understand the existing knowledge gaps about the novel Omicron variant and to scale up the interventional strategies. Thus, I invite you to participate in this short survey and provide your
valuable opinion regarding the SARS-CoV-2 Omicron variant.
Thanking you in advance
Sincerely
Akshaya Bhagavathula
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Dear colleagues.
I am thinking about the possibility of developing a predictive model applied to technology transfer processes in healthcare, its main intention in anticipating the success achieved by the parties involved. Computationally, is this possible?
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Bondar-Podhurskaya Oksana Hi, do you have any suggestions for methods?
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It is the Metaverse's potential to create new directions in healthcare by combining technologies such as artificial intelligence, virtual reality, augmented reality, the Internet of Medical Devices, Web 3.0, intelligent cloud, edge, and quantum computing, as well as robotics. Nevertheless, the more pressing issue is whether it can reduce costs while embedding them all together in a new health metaverse while remaining compliant with regulations.
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Hello there,
I am preparing focus groups with health professionals.
The content in general is not going to touch on any sensitive topics.
However, please state your opinion on how to react if someone reports that he/she was a target of bullying, harassments, or was verbally abused by line manager/supervisor/co-worker etc...
What can I should I do if something like that is reported?
Should I suggest contacting occupational psychologist? Talking to someone else from the supervision/management?
In general what guidance could I use to help those people who reveal content suggesting they have suffered at work and what is my role as a moderator for that?
Please share your experience and perhaps some examples from literature.
Many thanks in advance
Witold
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Use of New Testament and the Hippocratic medicine's ethic prescriptions.
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Burnout is a psychological syndrome, characterized by high emotional exhaustion and depersonalization and low professional accomplishment (see Maslach's definition and MBI scale for measuring it), which is very common among medical residents. In literature, work factors that contribute to physician burnout include excessive workloads, long working hours, specialty choice, frequent call duties, high emotional demands, workplace violence, bullying, bad management and many others. Is burnout a serious concern and what are the main determinants or risk factors for healthcare worker's burnout syndrome in your country?
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Yes, burnout among physicians is very common. The main determinants in my setting are inadequate numbers of doctors, excessive work loads, poor remuneration in the main stream workplace forcing healthcare workers to add on locums in order to bridge the salary gap. This ultimately ends up with excessive fatigue and some psychosomatic symptoms.
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Dear expert in this field,
Kindly, I would like to seek your opinion on the trend of healthcare policy decisions that are in line with the digitalization of global technology.
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I am going to publish a paper on CPD in healthcare.
Please let me know what journals you would consider?
Perhaps you have published some research already and have some experience.
Many thanks
Witold
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The most relevant I know of is Journal of Continuing Education in the Healthcare Professions.
If specific to medical setting, I might also consider European Journal of CME.
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The evolution of Artificial Intelligence is influencing healthcare. With the production of applications such as AI-based biomedical applications, and medical AI systems, etc. Without a doubt, AI is having significant implications on healthcare.
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AI has been very impactful in the practice and delivery of healthcare, from triaging , checking patients vitals, in the consulting room, in interventions and follow up of the patients.
It has even gone beyond the typical healthcare delivery situations to purchasing, logistics management and accounting decision making processes in healthcare have been impacted by AI.
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I am working in Healthcare IoT data security. Please suggest some health care IoT Data(Image) Sets. 
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Hi,
checkout this github repository for medical dataset
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Google Health and Apple are, respectively, closing down and scaling back their healthcare efforts - 23 August 2021:
"What will happen with Amazon's healthcare efforts? Amazon's recently launched Amazon Care has run into scaling issues almost from the get-go, with the unit's head acknowledging they will need "thousands of employees" to scale."
See also:
Google is dismantling its embattled health division as the tech giant reconsiders its strategy for healthcare and as the division's chief, Dr. David Feinberg, departs the company to join Cerner - 20 August 2021:
Apple is scaling back a key health project that grew out of its care clinics, and some workers could lose their jobs - 19 August 2021:
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Hope, the sufficient and huge data has been collected and organised with respect to their aspect (Health) . Further, most of the health related projects are long term projects and also need very huge investment. The other human assisted AI technologies will rule next decade ( it is better to focus here) . Overall, many health related projects have their own period. Hope other initiatives will be started from Google and Apple.
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I am working on a data mining project and would like to portray the correlation between healthcare expenditure by country and the population's life expectancy/general health and am having trouble finding sizeable data sets.
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Healthcare expenditures: http://wdi.worldbank.org/table/2.12
Here's the full list of indicators: http://wdi.worldbank.org/table
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The ideal is to have both functioning well, but in many medium to low resource countries, this has become an Either/Or decision for Health Administrators.
Primary Health care to reduce the burden of disease and complications of disease and thus reduce the need for specialized care and it's cost.
Specialised care follows all the latest trends and innovations, but usually are very costly. Costs are likely to come down over time, though.
So FOMO medicine: Specialised....
or Affordable rimary Health Care....?
What is your view?
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The concept of PHC is to provide comprehensive package of health care services in the form of preventive, promotive, curative, rehabilitative, emergency, palliative, responsive, sensitive to the need of people. Now universal health care to everyone everywhere which should be accessible, available, acceptable & affordable. Through this wide network including ASHAs , interface with community & political will can make it possible.
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Operations research techniques are used widely in the scientific literature to support decision-making problems in healthcare. However, such methods are rarely applied in practice? What are the obstacles? What could be the solution?
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Indeed, operations research (OR) and management science (MS) methods are not consistently used in practice for healthcare management decision-making. A report published by National Academy of Engineering and Institute of Medicine (Reid et al, 2005) states in an unusually blunt way, “In fact, relatively few health care professionals or administrators are equipped to think analytically about health care delivery as a system or to appreciate the relevance of engineering tools. Even fewer are equipped to work with engineers to apply these tools.”
Thus, it is often difficult for many administrators to appreciate the role of MS and OR methodology in the healthcare delivery process. A wide gap exists between the OR and MS publications that urge the use of this methodology in healthcare settings but provide few or no practical examples, and the publications with examples that are too specialized and complex for digesting by a typical hospital administrator. This gap is probably one of the reasons why too many administrators still have a vague idea of the practical value of healthcare OR and MS methodology. Many of them simply do not see ‘what’s in it for me’.
On the other hand, OR and MS professionals/engineers do not always have enough knowledge of healthcare or the role of physicians in making not only clinical but also management decisions. Healthcare has a culture of rigid division of labor. This functional division does not effectively support the methodology that crosses the functional areas, especially if it assumes significant change in traditional relationships.
Nonetheless, to address the challenge of transforming the system of care delivery in practice, some leading healthcare organizations have adopted this area as a strategic priority. For example, the Mayo Clinic, one of the largest integrated medical centers in the USA, has defined the Science of Healthcare Delivery as one of its four strategic directions. The others are Quality, Individualized Medicine, and Integration (Fowler et al, 2011). The Mayo Clinic has also created the Center for the Science of Healthcare Delivery, a new initiative that will focus on creating improved approaches to how healthcare is delivered (Mayo Clinic, 2011).
The bottom line: physicians and healthcare administrators are not supposed to have the knowledge of the OR/MS methods. They are too busy with other problems. Rather, they are supposed to understand why traditional management approaches and education guess are usually not accurate, short-lived or unsustainable; which quantitative technique is more appropriate for addressing a particular managerial problem; what can be expected from a particular technique and what are its strengths and limitations. For example, is queuing analytic theory (QAT) or discrete event simulation (DES) appropriate methodology for addressing a particular problem? What are the caveats in Linear Optimization for staffing and scheduling? What technique is the most appropriate for making a particular forecast type and why? What is the best approach to the fair cost (savings) allocation? And so on…Collaboration and trust between the healthcare/physicians leaders and OR/MS professionals is the key to progress in this area.
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i need references about how to determine the proper reliability and validity test for experimental research. i do research about analyzing validity and reliability of smartwatch for healthcare. it will be compare with the medical instrument result and dataset that i have.
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I used Correlation Analysis to Validity Test where r count > r table, and Cronbach Alpha > 0.6 to Reliability test
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I work on healthcare waste management and am looking for information and potential collaborators who know how to treat organic wastes.
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Hi guys. This is a great topic to discuss, in that way, to answer this question, I suggest reading the following articles:
and...
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