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Digital Health - Science topic

Explore the latest questions and answers in Digital Health, and find Digital Health experts.
Questions related to Digital Health
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This is with reference to the evolution in digital health
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Before the 1990s, the medication prescription process was quite different from what it is today:
  1. Interaction with Physicians: Patients typically had face-to-face consultations with their doctors. The physician would conduct a thorough examination, take detailed patient histories, and make diagnostic assessments before prescribing medications.
  2. Limited Access to Information: Information about medications was primarily available through medical textbooks, drug brochures, and consultations with pharmacists. There was less access to online resources, so healthcare providers relied heavily on their education and experience.
  3. Prescribing Process: Prescriptions were often handwritten on paper by physicians, and patients would take these to a pharmacy to have them filled. This process involved the pharmacist interpreting the handwriting, which could sometimes lead to misunderstandings.
  4. Regulatory Environment: The regulation of pharmaceuticals was less stringent, with fewer guidelines governing the prescription process. Drugs were often approved based on smaller study populations, and there were fewer post-marketing surveillance systems in place.
  5. Pharmaceutical Sales Representatives: Pharmaceutical companies employed sales representatives who would visit physicians to promote their drugs. This could potentially influence prescribing habits, but the transparency around such interactions was less emphasized.
  6. Limited Patient Involvement: Patients had less access to their medical records and lab results compared to today. The decision-making process was more physician-centric, with patients generally following their doctor's recommendations without much discussion or input into their treatment plans.
  7. Drug Information Resources: While there were resources like the Physicians' Desk Reference (PDR) for drug information, they were not as comprehensive or accessible as today's online databases. Healthcare providers relied more on their training and less on up-to-date information.
  8. Insurance Reimbursement: Insurance coverage for medications was less standardized, and formularies were less comprehensive. Patients often faced higher out-of-pocket costs, making medication affordability a significant concern.
  9. Technological Limitations: The use of technology in healthcare was limited. There were no electronic health records (EHRs) or computerized prescribing systems, which increased the likelihood of errors and made the tracking of prescriptions more cumbersome.
The medication prescription process Nneoma Prisca Ezechinyere-Opara before the 1990s was characterized by more traditional practices, limited patient engagement, and less access to information and technology compared to contemporary standards. The evolution of healthcare, influenced by advancements in technology and a shift toward patient-centered care, has significantly transformed the approach to medication prescribing in recent decades.
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Hi all
I am hoping to integrate the socioecological model into my next qualitative study around digital health in pain management. I wondered if anyone had any recommended reading to aid my research journey?
Thank you
Elisha :)
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First, many health researchers use the socioecological in qualitative research. Start by scanning the recent literature to compare and contrast uses. Secondly, decide the use of the model, from supporting research formation and direction to being highly deductive. One must align with one's purpose but also the selected research tradition. Please give specific questions.
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Dear colleagues,
Im looking for Q1, Q2,Q3 digital health journals indexed in Scopus without fees,without APC.
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Asia Pacific Journal of Public Health
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Call for Chapters
A Comprehensive Guide for Novice Researchers in Clinical Trials Elsevier, Academic Press Imprint Series: Next Generation Technology Driven Personalized Medicine and Smart Healthcare For more information on the series, visit Next Generation Technology Driven Personalized Medicine.
Call for Chapters
Introduction to the Theme
The landscape of clinical trials is evolving rapidly, with increasing emphasis on personalized medicine, innovative methodologies, and technology-driven approaches. This book, A Comprehensive Guide for Novice Researchers in Clinical Trials, aims to provide an accessible, in-depth foundation for early-stage researchers and professionals in the field. Topics include research methods, trial design, ethics, data management, and regulatory insights specific to Saudi Arabia. The objective is to create a resource that bridges theoretical foundations with practical applications in clinical trials, addressing the needs of today’s healthcare researchers.
Objectives of the Book
This book is designed to:
  • Equip novice researchers with a comprehensive understanding of clinical trial methodologies and requirements.
  • Introduce essential aspects of clinical research, from trial design to data management, while highlighting ethics and regulatory practices.
  • Serve as a Scopus-indexed reference that leverages Elsevier’s ELSA platform, making it accessible to a broad academic and professional audience.
Table of Indicative Chapters
  1. Introduction to Health Research Methods
  2. History of Clinical Trials
  3. Clinical Trial Designs
  4. Clinical Trial Essentials
  5. Ethics and Good Clinical Practice in Clinical Trials
  6. Trial Protocol Development
  7. Clinical Research Site Operation
  8. Clinical Data Management
  9. Clinical Trial Monitoring
  10. Principles of Statistics in Clinical Trials
  11. Reporting Clinical Trials
  12. Essentials of Project Management
  13. Regulatory Affairs of Clinical Trials in Saudi Arabia
  14. Training Programs and Job Opportunities in the Clinical Trial Industry
Important Guidelines for Contributors
  • Submission Platform: Contributions will be managed through Elsevier’s ELSA platform.
  • Proposal Submission: A chapter proposal (300-500 words) is required for initial review. Detailed guidelines for authors, a sample chapter, and sample chapter abstract are attached for reference.
  • Manuscript Preparation: Use MS Word with consistent formatting (bold, font size) for different heading levels. Each chapter should contain an abstract (100-150 words) and 5-10 keywords. Refer to the Elsevier Manuscript Preparation Guidelines for specific formatting instructions.
  • Artwork and Figures: Figures and tables should be submitted separately, with high-resolution images in JPG or TIFF format as per the provided guidelines.
  • Permissions: Contributors are responsible for obtaining permissions for any third-party material. An artwork list detailing all figures and tables with appropriate permissions is required upon manuscript submission.
  • Language and Style: Both British and US English are acceptable; however, authors must remain consistent within their chapters.
  • Reference Style: Use either the Harvard (Name-Date) or Vancouver (Numbered) style, as outlined in the guidelines.
Timeline
  • Submission of Chapter Proposals (300-500 words): December 5, 2024
  • Acceptance of Book Chapter Proposals: December 10, 2024
  • Full Chapters Due: February 15, 2025
  • Reviews to Authors: March 5, 2025
  • Final Chapters to ELSA: April 1, 2025
  • Publication: Quarter 4, 2025
Editorial and Contact Information
Editors
Managing Editor
For further information, please refer to the attached author guidelines, sample chapters, and sample abstract. We look forward to receiving your proposals and contributions to this impactful project.
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I've had some queries regarding the proposal submission I've mailed to all editors regarding the same. I'm yet to get any reply
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With the increase in information and the need for decision-making increasingly associated with growing knowledge in the health area, it seems essential to add the teaching of digital health for all professionals in this area.
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Just imagine that when a new medical technology was invented and entered mainstream medicine, such as x rays, physicians would refuse to learn it, by some reason, including a phobia about the new, or skepticism about its usefulness, or still just plain rejection or laziness to learn and understand it. This is happening for some time, now, although digital health is not even new. With new techologies such as AI, 3D printing, big data, etc, constantly entering and being adopted, that students and physicians and nurses are doing exactly that, and tha health sciences schools are not including this teaching into their ancient and obsolete curricula! And this is happening, So, this is a bizarre situation and we must urgently implement educational programs about these essential and required new tools of medicine, but unfortunately one of the stumbling block is that we do not have trained and willing instructors in sufficient numbers. Thanks for the question, Prof. Luiz Roberto de Oliveira
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Digital health offers patients in today’s health system remote consultations, streamlined access to medical records, and personalized treatment plans through data analytics and wearable technologies. It fosters improved communication with healthcare providers and empowers patients to actively engage in their care, driving better outcomes.
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Dear Abhishek Rajput,
my figures (fig. 5 and fig. 6) at the address:
partially answered your question.
Best regards
Anatol Badach
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We are working on operationalizing digital health governance on a country level, which has been suggested by World Health Organization and many others involved in this field. While general term - "enhanced digital health governance" is powerful guidance, countries still need to operationalize it. However, searching the published literature we failed to identify commonly agreed taxnomy/definition of specific functions of digital health that are required for enhanced governance. Our review of literature let to the following thought and list that we could consider and we wonder if:
  1. The list makes sense and, if not, what should be added/deleted/changed?
  2. Is there a publication that provides better framework to operationalize governance? And if yes please suggest the reference.
Our list builds on digital health system architecture and domains and asks the question about required arrangements that could help adequately govern the stated domain.
  1. Governance and Policy - who defines who is in charge for overall governance of the digital health system development and setting the policies/rules?
  2. Electronic Health Records (EHR) - who regulates/identifies the content of the record, sets the digital standard for the data contained in the EHR?
  3. Health Information Security and Privacy - who is responsible and how this is being achieved?
  4. Standards and Interoperability - who is responsible to set or adopt numerous standrds that digital health system requires?
  5. Infrastructure and Connectivity - who is responsible?
  6. Health Analytics and Insights - who is responsible?
We would like to hear your thoughts, suggestions, criticism and guidance.
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Dear CEO Dr. Gotsadze!'
I made an effort to find value-added resources for YOU. Please see the studies below:
Mohamed, S., Dunnett, S., Flores, A. et al. A Principles Framework for Digital Provision of Medical Information for Healthcare Professionals. Pharm Med 37, 103–109 (2023). https://doi.org/10.1007/s40290-023-00464-0, Quote:
"...MILE (Medical Information Leaders in Europe). Technology Benchmarking Survey—2021. 2022. https://www.mile-association.org/wp-content/uploads/2022/04/MILE-2021-technology-benchmarking-survey-summary-for-website.pdf. Accessed 15 Feb 2023.", .....MILE seeks further feedback and discussion with regulators, industry associations.....", Open access:
An additional article you might want to look at is:
Silberman, J., Wicks, P., Patel, S. et al. Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework. npj Digit. Med. 6, 101 (2023). https://doi.org/10.1038/s41746-023-00836-5,
3) A case study: Alvarez-Romero, C., Martínez-García, A., Bernabeu-Wittel, M. et al. Health data hubs: an analysis of existing data governance features for research. Health Res Policy Sys 21, 70 (2023). https://doi.org/10.1186/s12961-023-01026-1, Open access:
4) A case study: Lindsey M. Philpot, Sagar B. Dugani, Abhinav Singla, Meredith DeZutter, Jon O. Ebbert, Digital Care Horizon: A Framework for Extending Health Care Through Digital Transformation, Mayo Clinic Proceedings: Digital Health, Volume 1, Issue 3, 2023, Open access:
Hope you find new partners, and ideas from within the articles above!
Yours sincerely, Bulcsu Szekely
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Hi, Everyone,
Kindly share your input on the above questions for me. We all know the digital health has become more relevant to the health systems more anticipated in years. The population around the world are more technologically inclined though there are some laps but the majority of the human race now accustom to the use ICT to manage their health and wellness.
Look forward to your response.
Thank you all.
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Blockchain is one such technology which can improve the efficiency and effectiveness of global digital health system by injecting the trust and ensuring the privacy and security aspect into the system through its characteristics, advantages, and potential applications.
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Hi, Guys,
I need your opinion on the above question on how you would market Digital Health Services? I am currently pursuing MS in Health Informatics and just need some add on response to the question above to supplement what I have already done.
Thank you all.
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Frank Dzidula, who are you targeting? Exterior or interior customers? Based on your answer, there might be applied different strategies on lead generation, conversions, product /prototype launches, networking models/types, engagement, education, communication, dissemination, and ROI. Lead generation may be one of the most important for digital health services. Here are my suggestions: (1) continuous video marketing, (2) a solid social media presence focused on your targets, (3) online ads, (4) a social blog to create and maintain your brand ... and be visible!
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Then please consider supporting our research by answering the survey linked below. We would be very happy to know your opinions. And please share the post with your peers! Thanks!
.
First, you will be exposed to more detailed information about the study and the consent form.
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No I don't.
I'm so sorry.
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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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The impact of digital health technologies on healthcare system is becoming relevant day in day out and its adoption is making access to to patient care more easily accessible.
Introduction of deep learning into the security of EHR data is one of the areas that is being looked into, to ascertain better protection of these sensitive personal identifiable data.
Your input will help a lot to ensure great achievement of this project.
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Is there a specific view of security you are thinking of, or is this just a wide and general question?
Thinking of security with respect to network/cyber attacks, then Electroni Health Records simply inherit the same deep learning techniques that can be applied to any networked systems/applications (perhaps with some diffeent 'value' calclulations as to the monetary expression of the damage done in such an attack).
If this question is about privacy concerns and data use - who has access to and whwo uses your data, then mostly the access controlls and logging of data access are within the EHR applications themselves (EHR, personal health record or any system/application that looks after health information).
The are also in some networked environments with multiple actors, there are audit logs that can be inspected (the IHE ATNA being an example). I know of a few real world examples (but with no accademic publications) where such logs were inspected and the evidence of un-authorised access (or miss use of authorised access) was proven. Since this activity is looking for patterns in a log file (or set of log files with some correlation) then this looks to me exactly like the kind of problem that deeo learning could be applied to. Note "who" is looking at "what" data implies you need to know the identities of the "who" in a real world context that would confirm or deny that they are allowed to look at "whatever-it-is".
In private healthcare based economies, your insurance premiums are based on your declared health. Health insurance companies may use deep learning tools in analysis of their customers health records - but this is ouutside of my experience and it is of course linked to the legality of doing this (which I am surer varies from country to country).
Effectively though, this kind of deep learning would ook like a specialisation of the kind of deep learning applied to fraud (specialised for healthcare insurance premiums and delcarations).
I am sure there are other areras. Computer architecture that results in multiple copies of healthcare data items and records leads to ambiguity in records - where is the source of truth. You can see how in the above fraud example any ambiguity might lead to loopholes for fraudulent activity or put a consumer in a position where they find it difficult to prove their health records. I am not sure if deep learning would be applicable here, when inspection of the architeture would tell you about this potential-duplicates problem.
Your question seems quite wide, I hope my contribution is useful for you and I haven't missed the poiont of your question.
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The research ‘field’ of Digital health is dedicated to realising digital technologies’ potential and developing knowledge about their feasibility and impacts. With the introduction of several new journals (such as Sage Digital Health, The Lancet Digital Health and Frontiers in Digital Health), Digital health is in many ways an emerging field.
Yet, drawing on a critical review of the articles in the most prominent multidisciplinary digital health journals in our article , we show that the digital health field has not profoundly engaged with its core subject, namely technology. The features of digital technologies remain in the background, and research is disconnected from the complexities of healthcare settings, including multiple technologies, established practices and people. Instead, the overarching focus in the Digital Health literature is the processing capabilities of digital technologies and their posited impacts. The technologies are treated as black boxes and the context of the lab seems to be considered similar to the context of use (care, planning, coordination etc).
I would argue that if we do not take this issue seriously, the potential of the Digital Health field will be limited and eventually a dead end.
How can we develop Digital Health into a field where technology and the context of use take a more prominent role?
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Digital technology has been a revolutionary foray in various sectors and domains like education, industry, research, and recently, healthcare. The concept of digital health is an evolving entity and has gained tremendous importance in the time of the Pandemic with social distancing and lockdowns forcing the entire globe to adopt digital health and health technologies on a large scale. The digital health concept was first introduced in 2000 by Seth Fran, which largely encompasses internet-based applications and media to enhance medical subject matter, commerce, and connectivity. With the advancement in technology, digital health has expanded to encompass a much wider set of scientific concepts and technologies, including the internet of things, big data technology, artificial intelligence techniques, genomics, analytics, wearables, mobile applications, and telemedicine. The various domains of digital health have been explained by WHO in 2018.
With the advancement in digital health and literacy rate in the country, The Government of India laid importance on digitalization in India’s healthcare sector in the National Health Policy, 2017 using The National Digital Health Mission (NDHM) which can act as the foundation on which national digital health ecosystem can be built. On the occasion of the 74th Independence Day, the Government of India embarked on its journey to achieve Universal Health Coverage by launching the National Digital Health Mission.
NDHM aims to build a holistic, integrated, and comprehensive digital health ecosystem that will lay the foundation of a strong public digital infrastructure, digitally empower individuals, patients, health care staff, health institutions, and aid streamline the healthcare delivery system of the country. This will help inequitable, affordable, and accessible health care to all. It may be useful for health planners and policymakers as well in monitoring and surveillance of health-related events better and in an efficient way.
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Dear Colleagues,
With an increasing number of countries implementing digital health and digital public health tools, questions arise about whether these tools are effective and how to implement them best nationally. The lack of a validated and standard list of indicators complicates the comparison of digital health maturity between countries. We need guidance for governments in setting up strategies for the effective implementation and adoption of digital public health tools in routine care and the prevention of diseases.
To address this challenge, we want to invite researchers and practitioners from medicine, public health, economics, computer science, law, cultural studies, sociology, or other comparable disciplines. Participants should know about the development, implementation and evaluation of digital public health systems to take part in a Delphi study to choose the leading quality indicators to assess the maturity of national digital public health systems from four perspectives:
1. The information-telecommunication-technology requirements
2. The political support and legal regulation for the implementation and use of health technologies and the generated data
3. The application of concrete digital health tools to the national health system
4. The collective social willingness to use these tools
We are using a snowball approach to reach as many experts as possible. Please join our effort by participating in this Delphi study https://bit.ly/3raMsVY. Please forward this message to all your mailing lists of colleagues that might fit the purpose of this study. Every participation will be greatly appreciated and contribute to a better understanding of international digital public health systems.
This Delphi study will be conducted within the German Leibniz ScienceCampus Digital Public Health research project entitled "Developing a Maturity Measurement Model for Digital Public Health: The Digital Public Health Readiness Index".
Best regards and take care,
Laura Maaß
(on behalf of the digital public health readiness index team and the EUPHA Digital Health Section)
Link to Survey: https://bit.ly/3raMsVY
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Dear colleagues, thank you very much for your initiative. I will distribute your call in my network. It might be a good idea to use the Netzwerk Technikfolgenabschätzung to reach out to more experts. Best regards Karsten Weber
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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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Hi,
I have been struggling to find a thesis topic. In future, I am looking forward to working as a Consultant, Product manager, Product owner type of roles in IT industry. My program is M.Tech. in Digital Health and Life Sciences.
I want to be the guy who can communicate with both consumers and developing teams, who can delegate problems, ideas and solutions between non-technical and technical people, who understands how consumers perceive and interact with technology. I hope I explained my interests well enough.
For the thesis, my keywords would be:
Understanding/Designing Experiences/Framework--- defining/measuring---user requirements/for users--- digital ecosystem--- A case study--- healthcare/e-health
Thank you and really appreciate any suggestions and help.
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Hopefully the insights/views as per the following papers could provide you ideas for your research topic, namely: see those future research directions (Khezr et al, 2019, pp. 19-20; Marques and Ferreira, 2020, p. 583; Tandon et al, 2020; Secinaro et al, 2021, p. 20).
  • Das, M. (2017) Healthcare: An Emerging Area of Research, International Journal of Research in Finance and Marketing, 7, 4, pp. 13-29.
  • Khezr, S., Moniruzzaman, M., Yassine, A. and Benlamri, R. (2019) Blockchain technology in healthcare: A comprehensive review and directions for future research, Applied Sciences, 9, 9, pp. 1-28.
  • Marques, I. C. P. and Ferreira, J. J. (2020) Digital transformation in the area of health: Systematic review of 45 years of evolution, Health and Technology, 10, 3, pp. 575-586.
  • Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V. and Biancone, P. (2021) The role of artificial intelligence in healthcare: a structured literature review, BMC Medical Informatics and Decision Making, 21, 1, pp. 1-23.
  • Tandon, A., Dhir, A., Najmul Islam, A. and Mäntymäki, M. (2020) Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda, Computers in Industry, DOI: 0.1016/j.compind.2020.103290, pp. 1-22.
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Hei!
I am trying to understand the landscape of Digital Health Journals. Is this list below capturing the main (and premier) journals?
- Digital Health (Sage)
- NPJ Digital Medicine
- Lancet Digital Health
- Journal of Medical Internet Research
- Frontiers in Digital Health
- International Journal of Digital Healthcare
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I recently created a list of digital health journals. Please see below:
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Does anyone knows studies regarding the effects of game-based approaches like serious games or gamification to improve or foster (digital) health literacy?
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Very interesting topic!
Maybe you want to consult this recent review by Davaris et al.:
Further, there has been some recent research on sexual health literacy:
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It will be a great opportunity to share thoughts and research findings on aging and elderly smart healthcare.
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Dear all,
I am doing a cross-country survey on the influence of social media on the utilization of digital health services.
I kindly request you to answer this survey and share it in your network for more sampling options.
Thanks in advance
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Call For Paper
August 2021
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Hello! I‘m working on a paper, which tries to define health apps and medical apps in the area of public health. Therefore I would be very interested in your opinion and references you know.
What are definitions for health and medical apps and where might be differences between the two of them?
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According to the research paper, this approach fits under health apps since it is covering all patients.
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The rate at which health information managers are being shabbily treated among health care system in the developing world health care system, has created a lot of low esteem personality among health care workers.
Health Information Managers plays vital roles in the development of healthcare system, and are meant to be given equal recognition as their counterparts.
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As far as I conceive this question, it's for front line health workers who work in the health department. Their job profile is also to collect information/data in the community whose health is at stake. If they are illtreated then the quality of data will be poor and that effects planning and to imparting health services . So , it's essentially important to take care of these managers and in turn the quality information will be available in such settings.
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We are witnessing an explosion of digital health products, whether eHealth, mHealth or wearables. There are currently a few different frameworks to evaluate these new approaches to delivering care. Mainly through the 2019 NICE Evidence Standards Framework for Digital Health Technologies. But also in the UK, there are toolkits from NHSX, NHS Digital and the Department of Public Health to name a few.
I'd love to know what other frameworks for evaluation you use or that you know of.
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John Tredinnick-Rowe we've recently published a review of the most used frameworks in assessing technology adoption in healthcare, including a gap analysis and a suggested aggregated framework covering all relevant factors, thought you might find it relevant
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We, the organizers of the 2nd International Workshop on Software Engineering for Healthcare (SEH 2019) held in conjunction with ICSA 2020, in Salvador, Brazil, would like to kindly invite you to participate in this workshop, which will occur on Monday, March 16th.
We will have an exciting keynote about Health 4.0 by Dr. Paulo Oliveira Antonino head of the Embedded Software Engineering department of the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany. 
Additionally, we will discuss research works and cases studies on interesting topics of: 
  • Agile development of medical software
  • Apps for diagnostic support
  • Data mining applied in medical systems
  • Security, risk management, compliance, and conformity assessment of medical devices and Apps, and EHR systems
  • Technology applied for medication traceability
Program and registration information are available in https://tinyurl.com/seh2020
We hope to see you in Salvador, Brazil!
Our best regards,
SEH 2020 Organizing Committee
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ok dear Lina Garcés
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I am developing a Digital Health syllabus for undergraduate students. I've already included authors such as Debora Lupton, Alan Petersen or Eric Topol. Any suggested reading that I should include?
Thank you
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Mario,
I have written about adoption of digital health innovation in the UK system. The NHS has significant challenges in adopting digital innovation due to fragmentation of organisations and the poor interface with social care. I know that the US system is also fragmented due to its' commercial nature. The book has a website where I linked to all of the references:
I hope this is helpful.
Adam
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There are many mHealth apps available, but what are the top validated ones for oncology patients (e.g. CE marked and have actual proof of concept and value)?
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Christine Jacob very interesting!
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For the development of eHealth solutions, stakeholders should be involved and their opinions and experiences must be heard or it could be optional.
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Agree with Emre Sezgin and Nabil Zary , engaging the users in the constant development of eHealth tools is crucial for their sustainability and success, by listening to the users, providers can ensure that their tools will stay useful and relevant.
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In digital health domain, is the academic research that leads the development of the industry OR is the industry development that impacts the associated academic research ?
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Both ways.
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RIAS is a medical interaction analysis system used to assess doctor-patient communication in clinical consultations. h
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Emily Treichler - I haven't been able to get hold of RIAS yet. A colleague informed me that it is no longer accessible. Will continue to search.
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During clinical consultation doctors and nurses interview patients about their medical history. But, patients are usually not prepared for the clinical consultation. In theory, if patients administer their medical history on a computer/tablet before their appointment with the doctor or nurse, then they should be prompted and prepared for the medical history interview. This is one of the hypothetical advantages of patient-administered computerized history taking systems/automated medical history taking systems. What quantitative and/or qualitative factors measures exist that would assess if patients are prepared for the medical history interview?
I'm actually interested in identifying doctor-patient communication and non-communication measures that would determine if a group of patients who took an electronic medical history questionnaire were more prepared for a clinical consultation compared to a group that didn't take the electronic history questionnaire.
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There isnt any
I am just authoring
How to get the best from your GP practice to try to fill this gap!
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As all countries are increasingly digitizing their health information systems, new challenges of security, privacy, and confidentiality arise. This is also true in low and middle income countries, though the literature on this seems rather thin from an information systems perspective. I'm looking for research, reports, assessments on security and confidentiality of health information in developing countries in general. Anyone working on this?
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I believe that the need for health services in developing countries is still bigger than the need for privacy, people are still looking into filling gaps in healthcare as a basic step, and probably once fulfilled they will start looking into privacy and security, that's my personal interpretation of the main factors influencing the lack of research in this area...
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eHealth is calling for significant changes in the design of healthcare services, allowing for diferent roles for nurses and other healthcare professionals. Many projects and pilotes have embraced eHealth. What do we know so far about the role of nurses?
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Dearr Luis,
I hope these references are useful in relation to eHealth resources.
James
References:
Sarfo, J.O. & Asiedu, M. (2013). Ehealth Efficacy in Ghanian Nursing: A Pilot Thematic Analysis on Benefits and Challenges. European Scientific Journal, 9(23), 1857 – 7881. https://eujournal.org/index.php/esj/article/viewFile/1682/1730
Black AD, Car J, Pagliari C, Anandan C, Cresswell K, et al. (2011) The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview. PLoS Med 8(1): e1000387. doi:10.1371/journal.pmed.1000387
Oh et al (2005). What Is eHealth (3): A Systematic Review of Published Definitions. Journal of Medical Internet Research. 7(1),e1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550636/
Catwell L, Sheikh A (2009) Evaluating eHealth Interventions: The Need for Continuous Systemic Evaluation. PLoS Med. 6(8): e1000126. https://doi.org/10.1371/journal.pmed.1000126
Catwell L, Sheikh A (2009) Evaluating eHealth Interventions: The Need for Continuous Systemic Evaluation. PLoS Med 6(8): e1000126. https://doi.org/10.1371/journal.pmed.1000126
Black AD, Car J, Pagliari C, Anandan C, Cresswell K, et al. (2011) The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview. PLoS Med 8(1): e1000387. doi:10.1371/journal.pmed.1000387
Richards et al (2005). Remote working: survey of attitudes to eHealth of doctors and nurses in rural general practices in the United Kingdom. Family Practice, 22(1), 2–7.
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Improving access to quality primary health care (PHC) is challenging for resource-constrained countries with chronic infrastructure deficits and shortages of trained health workforce. There is growing international consensus that information and communication technologies (ICTs) can offer innovative ways to strengthen health systems to extend the reach of PHC services to areas where health care challenges are most severe. While there is extensive literature on the efficacy of ICT strategies for improving single health services problems (e.g. non-adherence to treatment, poor communications among rural health workers etc.), few empirical studies report about implementing ICT interventions at scale, to solve health systems problems. So to help fill a gap in literature, how should ICT or digital health technologies be implemented to help health systems enhance universal access to essential PHC services?
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To stakeholders, this information is directed so that health policies are designed towards a more effective and integral management, administering the ICT’s as tools for the well-being of most the Panamanian population, including indigenous group.
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I am looking for research into digital health that has been conducted from a critical or interpretivist research approach.  By critical I mean critical theory or critical realism,I am particularly interested in research by British academics or research that is looking at the NHS.  Are there specific academics conducing research in this area who's work you particulalry respect.  I am not interested in positivist research in this area.
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Please let me know if these interpretive digital health academic references/sites are helpful to you:
2.  Interpretive research paradigms: Points of difference ...
Academia.edu is a platform for academics to ... Interpretive research paradigms:
3.  Points of ... Interpretative Research Paradigms: Points of Difference Nevan ...
Digital Health Research Subscription | Rock Health | We're ...
Digital Health Research Subscription ... and PDF copies of reports covering digital health trends. ... startup, or academic institution? Email us ...
4.  2011 Standards and Interpretive Guide - April 2017
1 2011 Accreditation Council for Occupational Therapy Education (ACOTE ®) Standards and Interpretive Guide (effective July 31, 2013) April 2017 Interpretive Guide ...
5.  Digital Identity Health Check for Academics - piirus.ac.uk
Digital Identity Health Check for Academics. ... The first step in your digital health check is to review what comes up in the results when someone ...
Dennis 
Dennis Mazur
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Can someone suggest handbook(s) that explain
classes of statistical models like in this link ?
Does it much important to explain to readers
the class of statistical model I have used ?
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Hi there!
As far as I read, you have two main questions:
1st. Books about statistical models:
If you are a R lover (like me) you will enjoy these books:
If you are very new to R, the first one is awesome.
2nd. Does it much important to explain to readers the class of statistical model I have used ?
I'm reviewer of several scientific journals and my answer is YES (yes, with capital letters! :) ), because data analysis must be replicable, I mean, you need to include and explain all the details you need to perform the analysis, if some details are missing or not included, the analysis would not be replicable. In some scientific journals, you can attach the syntax, in others, if you need to explain a lot of details, you can include it as supplementary material.
Hope this helps.
Best regards,
Merche Ovejero
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kindly suggest the theoratical framework to study relationship between online health communication and gender.
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mHealth, access to health information and the uptake of such information among your target group/s.
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I am particularly interested in smart communities research in healthcare.  I am also interested in exploring who the key academics are in defining the term
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Read the book; Smart Communities: How Citizens and Local Leaders Can Use Strategic Thinking to Build a Brighter Future by Suzanne W. Morse and published by Jossey-Bass. She is very thorough in defining smart communities.
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What do you think about the definition of e-health? Is it clearly presented in health profession? or it is a future thing to come? Are there regulations to observe/control this concept in different countries? 
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With the contributions of all the RG colleagues on our question early this year 2016 on e-health, we were able to produce the attached paper on the concept maturity of e-health. Hope this paper give a better understanding for the current status of this concept.
Regards to all
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The world bank and DHS has some good sources of health-related information.  I was also looking for other potential sources so that we could have an exhaustive list on here.
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Hi Srikanta
Very good all links indicated by  Aamir https://www.researchgate.net/profile/Aamir_Memon2 !
You can try too:
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what are useful criteria for evaluating the quality and benefits of a behaviour-change digital intervention?
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I would argue that a digital intervention targeting behavior change should be evaluated no differently than human-interaction based studies. That said, a couple of additional markers may be studied concerning ease of use, perceived value in the interaction, and logistics.
I am attaching links to a couple papers I wrote a while ago about behavior change methods for disease management. These approaches should be implemented in the intervention, whether by human or device.
I hope this helps
Ariel