TRANSFORMING HOSPITAL OPERATIONS: IMPACT OF DISRUPTIVE TECHNOLOGIES ON PATIENT RECORD MANAGEMENT AND ACCELERATING HOSPITAL CARE

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19(2): S.I (1), 693-697, 2024 www.thebioscan.com
TRANSFORMING HOSPITAL OPERATIONS: IMPACT OF DISRUPTIVE
TECHNOLOGIES ON PATIENT RECORD MANAGEMENT AND
ACCELERATING HOSPITAL CARE
1Dr. Mohd Fathi Abu Yaziz, 2Dr. Gururaj B Urs, 3Dr. Kiran Kumar Thoti,
4Dr Shaista Banu Harris, 5Dr V. Narendhra
1Associate Professor, Arshad Ayub Graduate Business School, Universiti Teknologi MARA, Malaysia,
Email: mohdfathi@uitm.edu.my, ORCID: 0000-0003-2717-7001
2Professor, M.S. Ramaiah Institute of Management, Bangalore, Email: gururaj@msrim.org
3Associate Professor, M.S. Ramaiah Institute of Management, Bangalore,
Email: kiran.kt@msrim.org, ORCID: 0000-0002-6678-9425
4Associate Professor & Head of the Department, M.S. Ramaiah College of Arts Science and Commerce, Bangalore,
Email: drshaistabanu@gmail.com, ORCID: 0009-0003-9569-2774
5Assistant Professor, Department of BBA, K L Deemed to be University, Vijayawada, India,
Email: vnarendra@kluniversity.in, ORCID: 0000-0003-3090-947X
DOI: https://doi.org/10.63001/tbs.2024.v19.i02.S.I(1).pp693-697
New opportunities for enhancing patient safety have arisen
because of technology developments in the previous several
decades. Clinical workflows might become more standardized and
efficient with the use of technology to digitize healthcare
operations, which could lead to a decrease in costs and mistakes
in all healthcare settings [1]. The load on doctors can rise, too, if
technology treatments aren't well-designed or executed.
Clinicians who are already overworked may not respond to alerts
because they are too tired to pay attention [2].
Computer programs that use AI and ML- The field of artificial
intelligence (AI) and machine learning has been seeing explosive
growth in healthcare technology in the past several years. As
physicians input fresh data, algorithms powered by AI and ML can
sift through mountains of data, both historical and real-time, to
make predictions about outcomes and treatment
recommendations [3]. The adoption of AI remains sluggish,
despite the widespread interest in the potential benefits of the
technology. The inconsistent system quality is one of the obstacles
to implementation. For instance, it was discovered not long ago
that a widely used model for sepsis diagnosis had extremely low
sensitivity. Performance can be affected by algorithm drift when
fresh data is assimilated; this is especially true during and after
major disruptions such as the COVID-19 pandemic [4].
Additionally, these algorithms may be "black box" algorithms,
meaning they cannot be modified by the system due to vendor
restrictions on accessing the code. Clinicians may be sceptical
about AI treatments due to their inconsistent quality and lack of
INTRODUCTION
KEYWORDS
Disruptive Technology,
Artificial Intelligence,
Hospitality,
Patience,
Life Science.
Received on:
15-09-2024
Accepted on:
20-12-2024
ABSTRACT
Improved patient care, easier access to healthcare, and lower healthcare expenses are all possible outcomes of disruptive
technology that hospitals may use to better maintain patient records. Technologies that are causing a paradigm shift in
healthcare include: Bracelets with embedded sensors—These wristbands have the potential to store sensitive patient data,
including names, dates of birth, blood types, and allergies. Along with monitoring patients, they may also follow caregivers
as they attend to their needs. Tags that use radio frequency identification (RFID) technology are commonly attached to
lanyards and wristbands worn by healthcare workers. In addition to accessing medical information, they let doctors monitor
their patients' whereabouts and condition in real time. Among the many potential applications of artificial intelligence (AI)
in the medical field are: As a second opinion on diagnoses, AI can evaluate massive volumes of picture data for image reading.
Analytics: Preparing for medical crises is made easier with analytics tools powered by AI. Providers of chatbot services:
These digital assistants can field questions from patients via social media and websites. You may also use them to analyse
data and keep track of patient health information. The term "patient portal" refers to a set of protected web applications that
facilitate two-way communication between patients and their healthcare providers. Two forms of artificial reality systems
augmented and virtual, utilizing augmented and virtual reality technology, patients may better understand their health data
and keep tabs on their condition. The research was conducted in hospitals in Bangalore location in India and total of 225
samples are collected from the age group of 18 years to 60 years of age. The variables are disruptive technology, patience
health reports, patience user friendly, patience health monitoring and dependent variables patience satisfaction.

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transparency. An essay published in 2022 attempted to address
these issues by outlining the business case for AI deployment in
health systems and providing best practices [5]. Instead of viewing
AI to a goal, best practices involve utilizing it to tackle a pressing
issue inside the healthcare system. Furthermore, it is crucial to
test the AI with the patients and data from the health system to
show how well it works in that environment, verify that the AI can
provide a return on investment, and make sure it's easy to apply.
An additional white paper detailed an ergonomics and human-
factors framework for AI development, with the goal of bettering
its integration into healthcare workflows, systems, and teams.
standards for artificial intelligence have been issued by both the
federal government and international organizations. The National
Artificial Intelligence Initiative's standards aim to increase
trustworthiness, while the World Health Organization's rules
ensure ethical governance [6].
Medical technology, which includes both low- and high-risk
medical devices, includes everything from tongue depressors and
surgical gloves to medical thermometers, insulin pumps,
pacemakers, and in vitro diagnostics. Every day, patients all over
the Asia Pacific region rely on these technologies to diagnose,
treat, and improve their health. Healthcare providers can identify
and treat patients more quickly and accurately with the us e of
medical gadgets, which ultimately improve patients' quality of life
by allowing them to overcome illness. There is a good chance that
people are constantly exposed to medical devices without even
realizing it. This is because there are numerous regulatory bodies
around the world that control the usage and classification of these
devices, making it difficult to establish a universal definition of
what constitutes a medical device [7].
Mobile Applications design for patients to interact with Doctors
in India:
List of apps used for booking appointments with doctors in India
are Doctor on Demand, Lybrate, Teladoc Health- teleheal,
HealthPix EMR, DocPluse, PlushCare, Practo, MFine, Zocdoc,
MDLive, healthTap- Online Doctors, Doctolib, Amwell, Talkspace,
Core Doctor Appoinment, Sminq, MyChart, MyHealth are apps used
by Indian. Most of the apps are effective usage in the metro cities
in India and Patient use to book the appointment of the doctor
and the app also help to store the patient health records. Through
the app patient can Appointment scheduling, cancellation, and
booking, Online consultation, payment, and medications, Alerts,
reminders, and alerts, Facility for video calls and Emergency
assistance [8].
Technology and humans’ together for better healthcare
AI- The healthcare industry is about to undergo a complete and
utter transformation due to the advent of artificial intelligence
(AI). By analysing patient data, AI systems may predict which
patients will benefit most from a treatment, create new
medications more rapidly than human doctors, and distinguish
between benign and malignant tissues. Atomise finds treatments
in a database of molecule structures by using supercomputers. A
virtual search for current, safe drugs that may be reengineered to
treat the Ebola virus was devised by the startup, which began in
2015. The company's AI algorithm projected two medications that
may lessen Ebola's infectiousness, and those predictions came
true. DeerMind, an AI built by Google, has more recently begun to
analyze breast cancer. On pre-cleared datasets, the novel system
outperformed human radiologists in identifying breast cancer by
a margin of 11.5%. There are a plethora of startups utilizing AI to
revolutionize healthcare, and these two are only two of them.
These businesses are living proof of the potential future of
artificial intelligence (AI) in healthcare, with their work
transforming medical imaging, developing novel medications, and
mining medical information [3].
Virtual worlds- Both patients and doctors are finding that virtual
reality (VR) improves their quality of life. Imagine being a patient
in a hospital and seeing a future when you may go home or even
to Spain, or even witness surgeries as if you were the surgeon!
Virtual reality (VR) has several potential applications, including
the education of young surgeons and the practice of actual
surgical procedures by experienced doctors. Software developers
such as Immersive Touch and Osso VR have shown encouraging
results thus far. Surgeons who received virtual reality training
outperformed their peers who had more conventional training by
a margin of 230%, according to recent research. Improvements in
pain treatment are just one area where patients are reaping the
benefits of technological progress. Women are being given virtual
reality headsets to help them relax during labour by allowing them
to imagine a peaceful scene. Patients suffering from neurological,
post-operative, cardiac, gastrointestinal, and other types of pain
have reported less discomfort when exposed to virtual reality
stimuli. Anxiety, discomfort, and satisfaction with healthcare
were all positively impacted by surgery, according to 2019 pilot
research [9].
Virtual Reality- When compared to virtual reality (VR), augmented
reality (AR) ensures that users maintain contact with reality while
simultaneously delivering information to their eyes as quickly as
possible. These unique characteristics, experienced by both
patients and healthcare practitioners, are propelling augmented
reality to the forefront of healthcare's future. As a result, current
surgeons may be able to hone their skills, and medical students
may be better prepared for real-life procedures. Students learn
about the human body with the help of the Holonomy app for the
Microsoft HoloLens. As an alternative to studying on real people,
medical students now have access to computer models of the
human body that are both realistic and comprehensive [10].
Another exciting startup, Magic Leap, is working on a mixed reality
headgear that's a little bit different. When it comes to brain
health, Magic Leap has partnered with XRHealth to build the
therapeutic platform SyncThink, and a German tech startup called
Brainlab will be bringing its innovation to healthcare. Although no
commercial goods have been introduced to the market just yet,
these collaborations will certainly be seen throughout the
healthcare industry in the next years [11].
Sensors, wearables, and health trackers- Wearables, health
trackers, and sensors are becoming more important tools for
patients and individuals to take charge of their health, which is
directly related to the future of healthcare and medicine [12].
These are first-rate tools that improve our health literacy and
empower us to make healthier choices on an individual basis. The
Fitbit Ionic keeps tabs on your sleep and exercise, the Polar H10
may help you hone your fitness program, and the Muse headband
can guide you through guided meditation. Countless health
monitors and applications are available nowadays. You may choose
a gadget to suit your needs, whether you're trying to improve your
weight management, cognitive abilities, stress levels, or just want
to feel healthier and more energized. The patients themselves
become the focal focus of care with these technological marvels.
Patients may monitor their health from the comfort of their own
home and remotely communicate the findings to their doctor. The
gadgets provide people more agency over their health and
decision-making [13].
Triage device for medics- It is the holy grail of every medical
practitioner to own a singular, unparalleled tool. It needs to be
capable of analysing and diagnosing any illness. These types of
gadgets are already a reality because to the exponential rise of
healthcare IT. A small device that can assess vital signs including
heart rate, temperature, blood pressure, electrocardiogram
(ECG), and oxygen saturation is the palm-sized Viatom CheckMe
Pro. Competitors are also in the process of creating devices with
comparable features to the MedWand, which includes a camera
for telemedicine and all the measuring capabilities. The
BioSticker, developed by Bio IntelliSense, is another option; it is
FDA-approved and, despite its little size, can monitor a wide range
of vital signs, including respiration rate, skin temperature,
cardiovascular health, sleep quality, gait, and more. Even if these
items aren't quite ready for the sci-fi tricorder just yet, we'll be
there in no time. Mobile devices equipped with powerful
microscopes will soon be able to swab skin lesions for analysis and
examine the resulting photographs. It may be able to detect
certain proteins and antibodies or detect DNA anomalies with the
use of sensors. For example, an electronic nose, an ultrasonic
probe, or anything else that might be connected to a smartphone
to make it more useful [14].
Transforming the pharmaceutical industry- Developing new
pharmaceuticals takes a long time and costs a lot of money. Still,
innovative approaches utilizing tools like AI are enhancing the
pharmaceutical research and development process. The
pharmaceutical industry will be significantly impacted in the next

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years by these innovative methods and technology. Artificial
intelligence is enabling businesses like Turbine, Recursion
Pharmaceuticals, and Deep Genomics to rapidly and cheaply
develop novel therapeutic solutions and medication candidates.
In silico drug trials are another emerging technique in medicine.
Regulatory review and development of healthcare items,
technologies, and therapies make use of these customized
computer simulations. Since our present biology and technological
knowledge precludes the use of simulated clinical trials, this
business is already using its organs-on-a-chip development to tear
down boundaries. The Virtual Physiological Human (VPH) Institute
has built virtual models using its technology, HumMod, and is
utilizing them to investigate cardiovascular illness and
osteoporosis [6].
The Emergence of Nanotechnology- Nanoparticles and
nanodevices may soon be used as precision medication delivery
systems, miniature surgeons, or instruments for cancer therapy.
In 2014, a group of researchers from Germany's Max Planck
Institute created tiny microbots in the shape of scallops that could
literally swim through tissues and fluids. A patient-friendly and
non-invasive method is being employed for colon inspections with
smart tablets like PillCam. In late 2018, scientists at MIT created
a pill-like electronic device that can be operated remotely. It can
either release medications when instructed to do so by a
smartphone or convey analytical results. With the introduction of
smart patches, nanotechnology is quickly rising to the forefront of
consumer electronics. At CES 2020, the French firm Grapheal
displayed their smart patch. Wounds may be continuously
monitored, and the graphene core of the device can speed up the
healing process [15]. Nanotechnology in healthcare will manifest
in many more tangible forms as technology advances. One day,
remote-controlled capsules may potentially make nano-surgery a
reality, and the next PillCam could even be able to collect biopsy
samples.
Mechatronics- One of the most fascinating and rapidly expanding
areas of medicine is robotics. Surgical robots, pharmabotics, and
disinfection robots are just a few examples of the many types of
robots that are now under development. The year 2019 was a
banner one for exoskeletons. A tetraplegic man learned to control
an exoskeleton with just his brain signals after the first
exoskeleton-assisted surgery. From helping the elderly to assisting
those with spinal cord injuries, these robots have a wide range of
potential uses. Using robots as companions can also aid with
loneliness; they are also utilized in healthcare to address mental
health concerns and chronically unwell youngsters. Jibo, Pepper,
Paro, and Buddy are some of the robots that now exist. Some of
them include built-in microphones, cameras, and touch sensors
that their owners may use to command them [16].
Additive manufacturing- The advent of 3D printing has opened a
whole new universe of possibilities in the medical field. The
availability of printing for blood arteries, prosthetic limbs, bio
tissues, and medicines has increased the number of items on the
list, and this trend is certain to continue. The Rensselaer
Polytechnic Institute in Troy, New York, developed a 3D-printing
technique in November 2019 that allows for the creation of live
skin and blood arteries. Skin transplant recipients and burn
sufferers really benefited from this breakthrough. Non-
governmental organizations (NGOs) are utilizing 3D printing to
provide prostheses for refugees in areas affected by violence. One
example is Refugee Open Ware, which helps people in need. These
evolving technologies are also helping the pharmaceutical sector.
Since 2015, 3D-printed pharmaceuticals have been available to
the public, having been authorized by the FDA. Scientists are now
working on "polypills" that can be 3D printed. To help patients stay
on track with their treatment regimen, they will feature many
layers of medication [17].
1. Technology Network System to operation or monitor patient records:
Source: Deloitte Report
According to the Deloitte technology report, the network system
starts with the monitoring the daily routine activities of the
patience recorded in the mobile applications through regular self-
care using the apps then can monitor the deviation from typical
routine or change in vital signs then first notification form the
connected devices in patient’s home then app based suggestions
will record using the patient support services then can alerts from
device to relatives and in-network health system then helps to
telehealth appointments, ambulance service and doorstep
delivery through the remote intervention by mobilizing resources.
2. Research Objectives:
• The goal of this study is to examine how innovative
technologies like Blockchain, Internet of Things (IoT),
and Artificial Intelligence (AI) affect the way hospitals
keep track of patients' medical records.
• The goal of this study is to assess how new technology
may improve healthcare delivery, decision-making, and
patient treatment times via opening access to
information in real-time.
3. Scope of the Study:
• The study delves into the ways in which AI, Blockchain,
and the IoT can revolutionize healthcare by integrating
them into hospital systems. This integration could lead
to better patient record tracking, easier data
accessibility, and overall operational efficiency.
• Implications for Medical Treatment and Patient results:
The goal is to assess the ways in which the availability

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of up-to-date patient records in real-time enhances
clinical decision-making, shortens treatment times, and
boosts patient care and results.
• Cost, data privacy, and infrastructure preparedness are
some of the obstacles that the report lists as potential
obstacles to deploying disruptive technologies. On the
other hand, the study identifies potential chances for
future developments and scalability in healthcare
systems.
4. Research Methodology:
In this investigation, we will be using quantitative methods. To
gain a better understanding of the uptake and effect of disruptive
technologies, doctors, nurses, and hospital administrators will be
surveyed and interviewed to gather primary data. We will collect
secondary data on patient record tracking systems from scholarly
articles, reports from the industry, and case studies. A
combination of statistical methods for quantifying efficiency gains
and theme analysis for gaining qualitative insights will be used in
the data analysis process. To give thorough advice for
incorporating disruptive technology in hospitals, the research will
also examine global best practices. The total number of samples
are 225 are in the age group of 18 years to 60 years. The
questionnaires are design using 7-point Likert scale i.e., strongly
agree to strongly disagree.
5. Data Analysis:
The research framework:
The variables are independent variable (IV) is Destructive
Technology (DT), Mediating variables are Patience Health Monitor
(PHM), Patience User Friendly (PUF), Patience Health Report (PHR)
and department variable is Patience Satisfaction (PS) are used to
test relationship between them. The testing of the variable using
SMARTPLS: The total 22 number of questions are frame with five
variables i.e., independent variable (destructive technology),
Mediating variable are Patience health reports, patience user
friendly, patience health monitor and dependent variable was
patience satisfaction. The reliability between all the variables is
0.89 i.e., above 0.70 and the reliability variable was significant
and acceptable to test the relationship between the variables.
Table 1: Testing of the relationship between the Destructive technology with other variables:
Relationship
Original Sample
(O)
Mean (M)
Standard
Deviation
T- value
P Values
Result
DT -> PHM
0.217
0.212
0.073
2.972
0.003
Significant
DT -> PHR
0.283
0.286
0.051
5.571
0.000
Significant
DT -> PS
0.093
0.099
0.066
1.408
0.160
Not Significant

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DT -> PUF
0.396
0.396
0.053
7.480
0.000
Significant
PHM -> PS
0.123
0.122
0.041
2.958
0.003
Significant
PHR -> PS
0.192
0.189
0.042
4.564
0.000
Significant
PUF -> PS
0.463
0.457
0.062
7.489
0.000
Significant
Hospital patient record monitoring systems have been
transformed by the incorporation of disruptive technologies like
Blockchain, Artificial Intelligence (AI), and the Internet of Things
(IoT), leading to more efficient and quicker medical care.
Healthcare has long struggled with issues including inaccurate
patient data, delays due to manual record-keeping, and limited
access to critical information; these technologies aim to solve
these problems. AI allows healthcare facilities to instantly sift
through mountains of patient data, spot trends, and aid doctors
in making data-driven choices. Blockchain technology makes
guarantee that patient records are secure, transparent, and
immutable, which means that there will be fewer data breaches
and more compliance with privacy standards. In a similar vein, the
Internet of Things (IoT) allows for seamless data exchange
between devices and systems, which improves continuity of care,
and real-time patient monitoring. Reduced wait times, optimized
treatment plans, and better patient outcomes are all possible
thanks to healthcare providers' expedited access to accurate
patient information. Improved operational efficiency, less
paperwork, and simplified processes all help hospitals so that
doctors and nurses can devote more time to caring for patients.
But there are still obstacles, such as the high expense of
implementation, the requirement for specialized hardware and
software, and worries about the safety and privacy of sensitive
information. The long-term advantages of embracing disruptive
technology surpass the difficulties, notwithstanding these
obstacles. To sum up, hospitals can revamp patient record
monitoring, cut down on treatment delays, and provide high-
quality care thanks to disruptive technologies, which provide a
revolutionary potential for healthcare systems. A more effective
healthcare system that prioritizes patients can be achieved if
hospitals consider these innovations while also tackling current
problems. Innovative healthcare, better clinical results, and a
resilient healthcare ecosystem will be possible via the deliberate
integration of various technologies.
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CONCLUSION
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