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Adoption of Digital Health Care -A Reality in Future

Authors:

Abstract

Life expectancy is increasing, technologies are improving, and medications are spreading at breakneck speed. Benefits, as well as challenges and uncertainties, are evident. The evolution of healthcare is, first and foremost, the evolution of a mindset: health should be viewed as a social and economic investment, a growth driver that generates a circular well-being among those who provide technological equipment (companies), those who use it in emergencies and routine care (hospitals and the medical profession), and those who benefit from it (the general public) (the patients). Only human and economic costs can be used as a starting point: healthcare is only viable if business strategies that improve service quality do not inflate costs to the point where they are no longer available. The technological innovation, more specifically the digital revolution, is deeply changing the way healthcare processes are managed, promoting cooperation of several healthcare players. Healthcare processes strongly rely on both information and knowledge (Lenz et al., 2012; Lenz & Reichert, 2007). Therefore, information management could play an important role and a performing technology supporting processes becomes crucial. At the same time, healthcare organizations, more than others, have to face with growing complexity of care, reducing resources, and increased regulative frameworks. Healthcare providers are trying to increase quality and, at the same time, to reduce costs in order to maximize value. Care for a medical condition often embraces multiple expertise and several interventions. Value for the patient is created by providers' combined efforts over the full cycle of care (Porter, 2010). Brilliant wearable contraptions, sensor-based knowledge gadgets, and shrewd well-being applications can all assist with this. Sensor-based shrewd wearable gadgets, for instance, have been utilized to screen physiological boundaries expected for COVID-19 identification. 64 Remote patient observing has consequently been utilized in an assortment of utilization fields, including cardiovascular checking, blood oxygen immersion checking, temperature checking, breath checking, rest checking, and movement levels observing. Patients can be advised when their physiological changes become concerning, staying away from clinic affirmations generally speaking. For distant clinical consultations, virtual facilities plan advanced correspondence between medical care specialists and patients via phone, a video connect, or other online stages. Virtual facilities can assist with lessening the spread of profoundly infectious sicknesses, patient holding up times, and further develop medical care by diminishing direct understanding contact.
© May 2022 | IJIRT | Volume 8 Issue 12 | ISSN: 2349-6002
IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 370
Adoption of Digital Health Care - A Reality in Future
S. Keerthi1, Dr. John E P2
1,2SRM Institute of Science & Technology, Chennai
Abstract Life expectancy is increasing, technologies
are improving, and medications are spreading at
breakneck speed. Benefits, as well as challenges and
uncertainties, are evident. The evolution of healthcare
is, first and foremost, the evolution of a mindset: health
should be viewed as a social and economic investment, a
growth driver that generates a circular well-being
among those who provide technological equipment
(companies), those who use it in emergencies and
routine care (hospitals and the medical profession), and
those who benefit from it (the general public) (the
patients). Only human and economic costs can be used
as a starting point: healthcare is only viable if business
strategies that improve service quality do not inflate
costs to the point where they are no longer available.
The technological innovation, more specifically the
digital revolution, is deeply changing the way healthcare
processes are managed, promoting cooperation of
several healthcare players. Healthcare processes
strongly rely on both information and knowledge (Lenz
et al., 2012; Lenz & Reichert, 2007). Therefore,
information management could play an important role
and a performing technology supporting processes
becomes crucial. At the same time, healthcare
organizations, more than others, have to face with
growing complexity of care, reducing resources, and
increased regulative frameworks. Healthcare providers
are trying to increase quality and, at the same time, to
reduce costs in order to maximize value. Care for a
medical condition often embraces multiple expertise
and several interventions. Value for the patient is
created by providers’ combined efforts over the full
cycle of care (Porter, 2010).
Brilliant wearable contraptions, sensor-based
knowledge gadgets, and shrewd well-being applications
can all assist with this. Sensor-based shrewd wearable
gadgets, for instance, have been utilized to screen
physiological boundaries expected for COVID-19
identification. 64 Remote patient observing has
consequently been utilized in an assortment of
utilization fields, including cardiovascular checking,
blood oxygen immersion checking, temperature
checking, breath checking, rest checking, and
movement levels observing. Patients can be advised
when their physiological changes become concerning,
staying away from clinic affirmations generally
speaking. For distant clinical consultations, virtual
facilities plan advanced correspondence between
medical care specialists and patients via phone, a video
connect, or other online stages. Virtual facilities can
assist with lessening the spread of profoundly infectious
sicknesses, patient holding up times, and further
develop medical care by diminishing direct
understanding contact.
Index Terms: Digital healthcare, Adoption, Customer
experience, Access.
1.INTRODUCTION
Expectancy of life is increasing, technology is
improving, and medications are spreading at
breakneck speed. Benefits, as well as challenges and
uncertainties, are evident. The evolution of healthcare
is, first and foremost, the evolution of a mindset:
health should be viewed as a social and economic
investment, a growth driver that generates a circular
well-being among those who provide technological
equipment (companies), those who use it in
emergencies and routine care (hospitals and the
medical profession), and those who benefit from it
(the general public) (the patients). Only human and
economic costs can be used as a starting point:
healthcare is only viable if business strategies that
improve service quality do not inflate costs to the
point where they are no longer available.(Christensen
et al., 2010; Health, 2008) There is a consensus
among practitioners, policy-makers and researchers
that current systems of healthcare are not sustainable.
The increasing average age and chronic disease,
combined with rising expectations, have caused an
increasing of costs. Many experts assert that reforms
are needed and that healthcare system could be more
efficient and effective with a larger employ of digital
technologies allowing share information beyond
organizational boundaries (Such technologies,
however, have been difficult to implement, but 2 they
can support transformations in the way care is
provided. However, this implies a deep
© May 2022 | IJIRT | Volume 8 Issue 12 | ISSN: 2349-6002
IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 371
understanding of how these technologies could
change healthcare industry. Currently, studies about
the topic have mostly focused on the way work
routines and business models are changing, in
particular, on disruptions to traditional workflows
that reflect provider-centric models of care.(Currie &
Finnegan, 2011; Ford et al., 2017; Westbrook &
Braithwaite, 2010)
The technological innovation, more specifically the
digital revolution, is deeply changing the way
healthcare processes are managed, promoting
cooperation of several healthcare players. Healthcare
processes strongly rely on both information and
knowledge (Lenz et al., 2012; Lenz & Reichert,
2007)Therefore, information management could play
an important role and a performing technology
supporting processes becomes crucial. At the same
time, healthcare organizations, more than others,
have to face with growing complexity of care,
reducing resources, and increased regulative
frameworks. Healthcare providers are trying to
increase quality and, at the same time, to reduce costs
in order to maximize value. Care for a medical
condition often embraces multiple expertise and
several interventions. Value for the patient is created
by providers’ combined efforts over the full cycle of
care (Porter, 2010).
Brilliant wearable contraptions, sensor-based
knowledge gadgets, and shrewd well-being
applications can all assist with this. Sensor-based
shrewd wearable gadgets, for instance, have been
utilized to screen physiological boundaries expected
for COVID-19 identification. 64 Remote patient
observing has consequently been utilized in an
assortment of utilization fields, including
cardiovascular checking, blood oxygen immersion
checking, temperature checking, breath checking, rest
checking, and movement levels observing. Patients
can be advised when their physiological changes
become concerning, staying away from clinic
affirmations generally speaking. For distant clinical
consultations, virtual facilities plan advanced
correspondence between medical care specialists and
patients via phone, a video connect, or other online
stages. Virtual facilities can assist with lessening the
spread of profoundly infectious sicknesses, patient
holding up times, and further develop medical care
by diminishing direct understanding contact.
1.1Digital Health Care
A development in digital innovation from customary
to shrewd medical care is projected to change
medical care frameworks all over the planet. Savvy
medical care utilizes computerized innovations to
make it simpler to peruse wellbeing data, associate
individuals, assets, and associations, and shrewdly
handle and answer wellbeing related needs. Patients,
medical services experts, associations, and controllers
are totally connected together in the shrewd medical
care framework. Artifical Intelligence (AI), the
Internet of things (IoT), fog processing, cloud
computing, blockchain, sensors, 5G innovation, and
the Internet of Medical things (IoMT) are instances
of emanant advances that are as yet developing.
These advances are basic to the improvement of the
medical care idea, which is an arising creative idea.
The medical services framework, similar to the car
business, has gone through ages, from medical care
to shrewd medical services, with insurgencies in an
assortment of supporting ventures. For instance,
because of an absence of advanced innovations,
numerous medical services associations utilized
paper-based frameworks from 1970 to 1990. Patients
and medical services experts physically catch
wellbeing information and clinical solutions on paper
during the period of medical care 1.0, which
incorporates counsel, testing, and finding.
For a long time, this idea has been broadly utilized in
healthcare. Patients' records, then again, were
helpless against mileage over the long haul, putting
patient security and secrecy at risk. Medical services
otherwise called e-Health, was embraced somewhere
in the range of 1991 and 2005 to offer better
protection and security of well-being records while
additionally improving support and versatility.
Digital innovation upset different medical services
frameworks by expanding information catch,
availability, and sharing productivity. An
authoritative target of medical consideration is to
give patient driven clinical consideration
organizations through splendid thought, related care,
and redid medicine. Notably, medical benefits
supporting ventures have embraced industry as of
now progressing toward industry. Such disruption
continues to rethink how today's computerised super-
advanced firms grow commercial operations and
increase effectiveness across the value chain.
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IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 372
Medical care delivery, like assembly, is at the start of
a paradigm shift to usher in the new era of medical
services. This is an exciting time in many ways,
including astute infection prevention and discovery,
virtual consideration, astute wellness across the
board, amazing watching, direction, and clinical
research. Regulatory compliance is especially
difficult for new digital health devices. As a result,
many healthcare systems, particularly in poor
countries, rely significantly on paper-based methods
to collect, process, and preserve health information.
As a result, many healthcare systems, particularly in
developing countries, rely significantly on paper-
based methods to collect, process, and preserve
health data. Despite significant progress in smart and
connected healthcare, further research concepts,
distribution, and technologies are necessary to
unbundle new possibilities and move into health care.
1.2 Customer’s experience
As in-person care resumes, providers, payers and
consumers can seize the opportunity to maintain the
momentum created by forced Adoption and address
the pre-crisis issues that have previously inhibited
digital health Adoption. For instance, working to
increase trust in virtual services as they incorporate
new tools into their business and care models,
addressing security and privacy concernswhich are
especially important as non-medical players assume
bigger roles in healthcareand increasing access to
technology for all consumers. Building tough and
powerful medical services frameworks requires
multi-mix of different arising advancements to give
unavoidable and customized care, patient-focused
care, savvy infection location and forecast, and
distant patient observing.Far off tolerant checking
and following is a technique for giving medical
services to patients through different media
transmission channels and advanced well-being
innovations from a good ways. Brilliant wearable
contraptions, sensor-based knowledge gadgets, and
shrewd well-being applications can all assist with
this. Sensor-based shrewd wearable gadgets, for
instance, have been utilized to screen physiological
boundaries expected for COVID-19 identification. 64
Remote patient observing has consequently been
utilized in an assortment of utilization fields,
including cardiovascular checking, blood oxygen
immersion checking, temperature checking, breath
checking, rest checking, and movement levels
observing. Patients can be advised when their
physiological changes become concerning, staying
away from clinic affirmations generally speaking. For
distant clinical consultations, virtual facilities plan
advanced correspondence between medical care
specialists and patients via phone, a video connect, or
other online stages. Virtual facilities can assist with
lessening the spread of profoundly infectious
sicknesses, patient holding up times, and further
develop medical care by diminishing direct
understanding contact.
1.3 Globalization in Healthcare Industry
The concept of a global health care industry is a
recent phenomenon, and while the modern healthcare
industry is becoming more global by the day, because
health care has always been considered a local
industry, specific to individual countries, the
practices and development of healthcare as an
industry vary across countries. Each country's health
business has its own history and evolutionary cycle.
Now, the trend toward globalization of the healthcare
business is being driven by the globalization of the
auxiliary healthcare industries, recent technical
breakthroughs, and standardization of many elements
of the industry.Tele-medicine is the utilization of data
and broadcast communications innovation to analyze
and treat patients. Tele-medicine has various
innovation tool stash that can give state of the art
medical care administration conveyance
arrangements. Tele-medicine offers an assortment of
administrations, including tele-consultation, tele-
monitoring, tele-ability, tele-dermatology, tele-
radiology, tele-cardiology, tele-oncology, and tele-
psychiatry. Tele-rehabilitation is a post-conclusion or
post-affirmation administration gave to patients who
need restoration as a component of their treatment or
generally health.It is difficult to misjudge the
significance of legitimate preparation and guidance
for those engaged with this new kind of intercession,
and innovation based treatments for more seasoned
clients should be available, reasonable, and easy to
utilize.
Tele-medicine has been utilized to treat an assortment
of transmittable and non-transferable infections,
lighten unfortunate medical care, and diminish the
tension on medical care facilities.Technological,
hierarchical, lawful and administrative, human,
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IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 373
monetary, and social elements have all been
perceived as key obstacles to the effective sending of
tele-medicine in experimental examinations. In many
immature countries, the misfortune may be expected
to infrastructural advancement and money, and, most
fundamentally, numerous patients don't approach PCs
or Internet associations with use tele-medicine
administrations. Notwithstanding, contemporary tele-
medicine programs need emotive parts for observing
patients' close to home states.
1.4 Problem Statement
Today One of the most important requirements for a
successful healthcare is people adoption to the digital
healthcare. Because everyone's needs and goals are
distinct, health seekers are looking for a personalized
healthcare experience. To achieve their goals, health
seekers must see a variety of doctors, focus on
periodic care, and assess their present health state on
a frequent basis.
The need of the hour is for healthcare to be provided
in a continuous manner. The current healthcare
system is transaction in nature and is not equipped to
manage the individual requirements and goals of
health seekers.
1.5 Need of The Study
The study is mainly conducted to know about the
adoption and experiences of consumers in digital
health technology and what changes are consumers
expecting in future digital healthcare.
2. LITERATURE REVIEW
2.1 ADOPTION (Digital healthcare)
Adoption deals with the user of digital healthcare
platforms as a consumer rather than as a patient for
many reasons. First, not all users of digital healthcare
platforms are patients, as some of them may simply
ask about general health information such as diet,
exercise, sleeping patterns, or similar
information(Kim & Park, 2012). digital healthcare
can be assigned to the wider economic category. In
"An apple a day how the platform economy impacts
value creation in the healthcare market", the authors
confirm that the healthcare industry has been slow to
adopt new technologies and practice(Gleiss et al.,
2021)
Another crucial reason for the difficulties in clinical
process management seems to derive from lack of
communication and understanding between managers
and clinicians, who often tend to concentrate on
individual patient care at the expense of general
health care services and performance of health
systems in which they operate(Lega et al., 2013).
Telemonitoring allows healthcare organizations to
monitor the therapies of their patients and to activate
services in case of health emergency, through the
constant monitoring of health conditions. Moreover,
it can provide other services such as assistance,
information and communications services, which
drive the Adoption of multi-agent systems for the
realization of telemonitoring applications(Bergenti et
al., 2016).At the same time, healthcare organizations,
more than others, have to face with growing
complexity of care, reducing resources, and increased
regulative frameworks. Healthcare providers are
trying to increase quality and, at the same time, to
reduce costs in order to maximize value(Helfert,
2009).
2.2 TECHNOLOGY (Digital healthcare)
Digital technologies in health care may be classified
depending on the patient requirements they address:
diagnosis, prevention, treatment, adherence, lifestyle,
and patient engagement(Herrmann Maximilian and
Boehme, 2018).Technological innovation plays a
vital part in the advancement of healthcare
procedures. If healthcare practitioners must rely on
paper, communicating information might be
challenging, with serious and negative implications
for the proper management of crucial patient health
information. In contrast, the healthcare business may
be able to communicate clinical information and
diagnostic results with colleagues in the same
building or across the country or continent in real
time(Omachonu & Einspruch, 2010). Digital
platforms create value in two fundamental ways.
First, by facilitating transactions and second, by
offering technological building blocks that are used
to complement to develop new products and
services(Cennamo, 2021).
Behavior change through wearable: the interplay
between self-leadership and IT-based leadership"
points to physical inactivity as a global public health
problem that poses health risks to individuals and
imposes financial burdens on already strained
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healthcare systems(Lehrer et al., 2021). Digital health
can be defined as ―an improvement in the way
healthcare provision is conceived and delivered by
healthcare providers through the use of information
and communication technologies to monitor and
improve the well-being and health of patients and to
empower patients in the management of their health
and that of their families‖(Iyawa et al., 2016).Internet
- based innovations are one example of how
technology could advance healthcare, changing the
way people exchange health information, and the
healthcare solutions are changing with the diffusion
of Internet technologies(Tzeng et al., 2008).
Healthcare companies and organizations invest in
information technology in order to enhance services
performance, in terms of costs reduction or care
quality improvement(Froehle & Roth, 2007). The
technological innovation, more specifically the
digital revolution, is deeply changing the way
healthcare processes are managed, promoting
cooperation of several healthcare players. Healthcare
processes strongly rely on both information and
knowledge(Lenz & Reichert, 2007).
2.3 EXPERIENCE (Digital healthcare)
According to Oudshoorn, new forms of digitally-
mediated care do not simply liberate the patient from
the clinic but may actually be experienced as
bringing the clinic into the home in ways that may be
disrupting or invading patients’ everyday lives
(Oudshoorn, 2011).Patients utilizing care services
should have the opportunity to leverage their personal
care preferences, previous care experiences (whether
positive or negative), desired interactions, and
preferred means of interaction. Based on these patient
resources, a care provider can better understand the
following: how to listen to patients’ voice, how to
encourage patients’ participation in treatment, and
how to create interactions for value co-creation.
These potential solutions can help create better care
services and customize value through addressing
patient experiences(Berthon & John, 2006).
3. RESEARCH METHOLODOGY
A research methodology is an explanation of how a
certain part of the research is conducted. It specifies
the methods or procedures for obtaining and
analyzing data related to a given research topic. As a
result, research technique refers to how a researcher
plans their study in such a manner that they may
achieve valid and accurate data while also meeting
their research objectives.
3.1 RESEARCH DESIGN:
The type of research method adopted in this study is
Descriptive research. Descriptive study is
the research type that is used to characterize a
population's characteristics. It collects data which is
used to answer a variety of what, when, and how
inquiries about a certain population or group.
3.2 SOURCES OF DATA
Primary data, the source of data which is been used to
collect in this study and the sample size is 350. The
sample size is a concept that is widely used in
statistics and market research, and it is unavoidable
when surveying a big group of respondents. It has to
do with how large-scale research is carried out.
3.4 SAMPLING TECHNIQUE
PROBABILITY SAMPLING
Probability sampling is described as a sampling
technique in which the researcher selects samples
from a larger population using a method based on
probability theory. As the name implies, simple
random sampling is a completely random way of
picking the sample and every sample has equal
opportunity to get selected. This sampling approach
is as simple as assigning numbers to persons (sample)
and then selecting at random from those numbers
using an automated mechanism. Finally, the numbers
that are picked represent the members of the sample.
3.5 TOOLS FOR DATA COLLECTION
A survey Questionnaire was created and data was
collected in Google forms
3.6 HYPOTHESES
Hypothesis to be tested at 5% level of significance,
(i) H0:There is no significant relationship between
Work experience and Adoption.(Digital Healthcare)
(ii) H0:There is no significant relationship between
Marital status and Adoption (Digital healthcare)
(iii) H0: There is no significant association between
Annual salary and Adoption (Digital healthcare)
3.7 RESEARCH FRAMEWORK
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4.1 DATA ANALYSIS
DEMOGRAPHICS
S. No.
Details
Respondents
Percentage
1.
Gender
Male
52%
Female
48%
2.
Educational
qualification
PG
28%
UG
62%
Others
10%
4.
Marital status
Married
36%
Single
64%
5.
No. of
dependents
1
40%
2
30%
3
30%
6.
Annual
income
> 5L
17%
1 - 5 L
61%
< 1- 5L
22%
4.2 ADOPTION
S.
No.
Details
Response - Descriptive
analysis
1.
Overall health
status
34.57% respondents conveys
their health status is GOOD,
34.57% states their health
status is VERY GOOD,20%
conveys that their health status
is EXCELLENT, 10of
respondents conveys their
health status is FAIR and
1.71% conveys their Heath
status is POOR.
2.
Plans to
improve their
health
80.29% respondents says they
want to improve their overall
health in next six months,
11.14% respondents says Not
sure in improving their
health,and 8.57% respondents
says they don’t have any plans
to improve their overall health
in next 6 months.
3.
Acquiring
78.6% of respondents acquired
health
information
from
majority of health information
from the Internet, 48.3% from
Newspapers and Magazines,
44.9% from Friends and
Family,40.6% from Televison,
18.9% from Books and 11.7%
from Communities
4.
Need of using
websites/apps
for health
59.4% respondents use
apps/websites to Stay
healthy,53.7% use track their
diet and calories,47.7% to track
their exercise, 36% to know
about chronic illness,16.9%
each to know when to take
tests and prescriptions
respectively.
5.
Proximity to
nearest
healthcare
54% less than 1 KM
34% between 1-2 KM
12% above 2 KM
6.
About health
insurance
58% Yes
42% No
4.2.TECHNOLOGY
Technology
Response - Descriptive analysis
Usage of
digital
healthcare
40.29% use digital healthcare
often, 24.57% uses monthly or
less,13.43% less than, 12.29%
very often and 9.43% not used at
all.
Factors which
inspire you to
use digital
healthcare
37.43% respondents said if
there is convenient access either
physical or virtual would
motivate them to manage their
health and 31.43% wants
Trusted healthcare professionals
who wants to manage their
wellness, 18.86% wants reliable
and secured digital tools to
manage their health data.
Virtual
interactions
53.14% respondents prefers In-
person interactions with medical
experts and 46.66% respondents
Prefer virtual interactions with
medical professionals.
Healthcare
professional
services which
people are
interested
61.7% respondents wants Health
and Wellness advisors from
healthcare professional services,
42% prefers Diagnosis for
illnesses, diseases, and
disorders,36.9% prefers
Appointments with medical
specialists for chronic conditions
Interested
healthcare
types
66.86% wants virtual care from
traditional medical care
providers,15.14% from tech
companies,7.71% from medical
startups.
Limitations for
using chat-bots
etc
45.43% respondents have
concerns about privacy and
datasecurity which stalls them
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IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 376
from using chat bots, 25.71%
respondents says they don’t trust
the effectiveness of the service,
12.29% prefers their current
providers and 16.57% has not
heard of any.
4.3 EXPERIENCE
S.
No.
Experience
Response - Descriptive analysis
1.
Digital tools
which
respondents
managed
72.3% respondents used Mobile
phone/applications to manage
their health, 55.7% used virtual
consultation with medical
provider,35.4% used Social
media and online support
communities/resources, 29.1%
used wearable technology,
21.7% Electronic health records,
17.1% Chat bots/Voice-enabled
technology, 7.4% used Digital
therapeutics.
2.
Reasons to
adopt to digital
health
technologies
36.9% respondents will use
digital technology for health if
they have better confidence in
data security and privacy, 28.6%
if they could receive better
information about their health
,22.6% respondents says if they
had better quality
devices/software apps.
3.
Interested in
future
technologies
46% respondents wants their
health technologies to measure
fitness/health improvement
goals, 25.7% respondents wants
to receive reminders when to
take their medicines, 24.3% of
respondents was to monitor
health issues
4.
Overall
clinical
experience
55.59% respondents rate their
overall experience was
satisfied,16.62% respondents rate
their experience was Highly
satisfied,22.06% said their
overall experience was neutral
and 4.30% was dissatisfied and
1.4% respondents rated their
overall digital health experience
was highly dissatisfied.
5.
Factors
important for
good
experience
71.4% of respondents wants A
medical provider who listens,
understands their needs and
provides emotional support,
43.1% wants A medical provider
who uses digital technologies to
optimize their experience, 51.1%
wants A medical provider who
explains their condition and
treatment clearly, 28.6% wants
Well-coordinated care and
communications between
medical providers and their
personnel, 34.3% wants
Affordability of healthcare
services I’ve received to overall
have a good experience with a
medical provide.
6.
Reasons for
bad experience
31.71% said the digital health
technology used was
unsatisfactory, 21.14% said the
visit was not efficient,16.57%
said the medical advice was not
helpful.
7.
Effects of bad
experience
30.% of respondents were
stressed/upset by the bad digital
healthcare experience, 29.14%
says the negative healthcare
experience didn’t affect them,
11.14% was less likely to seek
medical care next time and
13.71% didn’t keep up with the
treatment.
5. DATA ANALYSIS
5.1 t test - Relationship between work experience and
adoption access trust (digital healthcare)
Hypothesis 1
H0:There is no significant relationship between Work
experience and Adoption(Digital healthcare)
H1: There is significant relationship between Work
experience and Adoption(Digital healthcare)
It is Evident from the above table that the
significance values for work experience and adoption
is 0.004, which is below 0.05, thus H1cannot be
rejected. There is a significant relationship between
the work experience to digital healthcare.
5.2 ANOVA - Relationship between marital status
and adoption (digital healthcare)
Hypothesis 2
H0: There is no significant relationship between
Marital status and Adoption(Digital healthcare)
SOURCE
MEAN
STD.
DEVIATION
F
SIGNIFIC
ANCE
ADO
PTIO
N
Below
1 year
2.9107
1.49204
4.503
0.004***
Below
2 years
2.3662
1.39632
Below
3 years
2.2115
1.44625
Above
3 years
2.3304
1.39373
Total
2.5057
1.45564
© May 2022 | IJIRT | Volume 8 Issue 12 | ISSN: 2349-6002
IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 377
H1:There is significant relationship between Marital
status and Adoption(Digital healthcare)
It is Evident from the table, significance value for
Adoption is greater than 0.05, thus H0 cannot be
rejected. There is no significant relationship between
the work marital status and Adoption (digital
healthcare), that shows both married and ubmarried
equally willing to adopt digital healthcare.
5.3Chi-square - Association between Annual income
and adoption (digital healthcare)
Hypothesis 3
H0: There is no significant association between
Annual salary and Adoption (Digital healthcare)
H1:There is significant association between Annual
salary and Adoption (Digital healthcare)
SOURCE
VALUE
P-VALUE
Pearson Chi-Square
41.967a
.000***
Likelihood Ratio
38.904
.001
Linear-by-Linear Association
5.288
.021
N of Valid Cases
350
It is Evident from the table, that the probability value
is lesser than 0.05 and the association is significant,
thus H1 cannot be rejected. There is a significant
association between Annual salary and Adoption
(Digital healthcare)
6. FINDINGS
Respondents are willing to improve their overall
health in the next 6 months. Consumers can find
genuine tips to improve their overall health. Adopting
new, healthier behavior may prevent you from
significant health concerns such as obesity and
diabetes. New habits, such as healthy eating and
frequent physical activity, may also help you control
your weight and have more energy. If you persist
with these modifications for a long, they may become
a part of your regular routine. The Internet has
changed the way people share and access
information. Getting information is now easier than
before. With the development of advanced search
engines, social networks and increased convenience
through devices such as smartphones and tablets or
laptops, users today access information at almost any
time of the day. According to the survey, 78 percent
of consumers acquire Internet for health and medical
information.
A healthy lifestyle entails more than just eating well
and exercising regularly. Obtaining adequate rest,
taking care of your body and mind, and keeping track
of things like prescriptions and doctor's visits are all
crucial aspects of remaining healthy. A app or
website can help you keep track of everything. As a
result, 60% of respondents require healthy living
apps to be healthy, and 54% require diet and calorie
tracking.%54%Travel time is less of a barrier in the
choosing of a hospital for healthcare/hospitals at
normal distances; yet, it remains an essential element
in the selection of a hospital, especially for
emergency department visits that do not require a
physician recommendation or appointment. There is a
good number of responses: 54% say healthcare is less
than 1km away, 34% say it is between 1-2km, and
only 12% say it is more than 2km away. The usage of
a hospital for one service significantly increases the
chance of using the same hospital for other services.
We live in a time where the number of health
problems is rising fast. A big health emergency can
eat a huge hole in a person's wallet and, most likely,
exceed the amount of savings. In such a case, the
need of health insurance is unavoidable. From the
survey it is founded that,58% of respondents do not
have health insurance. There is a growing need to be
financially responsible for such occurrences as early
as necessary. People's banking, travel, and shopping
habits are changing as a result of technological
advancements. However, it has a big impact in the
healthcare industry too. From the survey 40%
respondents said they often use digital healthcare.
Instead of in-person medical appointments,
consumers have been actively seeking digital
healthcare and other digital solutions. Doctors have
also been advised to provide more virtual services.
Consumers look to physicians and other healthcare
practitioners for inspiration, which can help preserve
the crisis-era momentum. Consumers would be
motivated to take a more active part in maintaining
their health if they had "trusted healthcare experts,"
according to 32% of those polled. Convenient access
to these specialists (online or in person) was rated as
the most motivating feature by consumers 37.1%.As
measures to prevent the spread of COVID-19
severely reduced face-to-face interactions with
doctors and other care providers, virtual healthcare
S.N
O
SOURCE
STD.
DEVIATION
F
SIGNIFICA
NCE
1
ADOPTI
ON
Single
1.49612
2.065
0.152
Married
1.38922
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IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 378
services became a need for almost 61.4% of
responses from the survey This historic shift
provides healthcare providers and payers with a once-
in-a-lifetime opportunity to permanently shift the
default care model for many medical needs to virtual
services: switching from compelled to voluntary
digital health uptake. The reaction to COVID-19 has
relied heavily on technology. Chat-bots, for example,
have become a popular tool to manage demand for
information about symptoms, treatments, and
appointments. However, 45.1% of respondents rated
"concerns about my privacy or data security" as the
top barrier to using chat-bots, computers, or digital
gadgets for their health queries and treatment at the
time of our original research.
Respondents are interested in a wide range of virtual
health services. People are willing to access a wide
variety of health services when and when they need
them, without suffering financial difficulties. It
includes the entire range of vital health services, from
health promotion to prevention, treatment,
rehabilitation, and medical care. When given the
option, some younger generations choose virtual care
to in-person care. Many healthcare customers would
pick virtual for basic care and even speciality care if
given the choice. 62% of Respondents said They
would "certainly" or "probably" take health and
wellness advice from, 42% has responded for
diagnoses for illnesses, diseases, and disorders. While
a bigger percentage of healthcare customers (67%)
are eager to accept virtual healthcare services from
their traditional provider, 15.1% are also willing to
receive virtual care from technology or social media
companies such as Google and Microsoft.
Nearly half of the healthcare consumers responded
feel that a negative digital visit with a healthcare
provider destroys the overall experience with that
provider and that a positive digital contact has a
significant impact on the patient experience. More
over a quarter believe digital healthcare can properly
predict their health. A negative digital encounter with
a provider, according to 48% of customers who have
a primary care physician, undermines the overall
experience with the provider.When asked which
factors were most important in creating a positive
experience with a healthcare provider, people ranked
as the most important factor, with "a provider who
listens, understands the patient's needs, and provides
emotional support" (71.4%) ,secondly "a medical
provider who clearly explains the patient's condition
and treatment" (59.1%) The third most important part
of a great experience is A medical provider who uses
digital technologies to optimise their health. Having
a medical physician who demonstrates empathy is far
more essential than having a good, clean workplace,
and nearly twice as important as having lovely and
helpful employees. The transition to digital health
needs a push from medical experts. Increasing the
number of doctors who support digital health might
have a significant influence on its continuing
acceptance. Hospitals and clinicians have a high level
of trust in keeping digital healthcare information safe,
Building patient confidence in information security
begins with trust in providers, who are most trusted
to manage personal digital health-related information
appropriately. The government takes the second
place, while healthcare insurance companies have a
far lower level of trust.
7. SUGGESTIONS
It is suggested that Doctors, Integrate digital
health technologies into current clinical practice
It is suggested, Prioritizing data security and
patient engagement to boost overall digital
adoption trust and experience.
It is suggested ,Emotional support from their
healthcare provider(clear explanations of
diseases and treatments while listening,
recognizing needs, and offering emotional
support) combined with well-coordinated care
will make people elevate the experience to
digital health
It is suggested that to improve digital health
technologies for a satisfactory adoption and
experience.
It is suggested, Healthcare leaders can start with
people and use digital technology to make
patient experience easier, more coordinated,
responsive, and, ultimately, more effective.
It is suggested, Assuring that any investments in
digital solutions are real proof, backed by the
medical community, and monitored closely to
show real-world benefit.
8 CONCLUSION
© May 2022 | IJIRT | Volume 8 Issue 12 | ISSN: 2349-6002
IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 379
The results we saw in our report revealed that the
path to better healthcare experiences involves close
collaboration between healthcare players across the
ecosystem to meet people's expectations, high quality
and digital technologies that increase service
efficiency and treatment effectiveness, and medical
providers who offer emotional support and empathy.
The pandemic has advanced the implementation of
digital healthcare significantly. Despite current
limitations, digital health has a bright future. This is a
historic opportunity to determine the future of
healthcare. We think that this should begin with the
person, and that healthcare service should be tailored
to their specific need. In parallel, providers should
collaborate to develop Data security and trust in
digital technologies and non-traditional providers by
open communication, demonstrating that each
individual retains control over their own experience.
The moment for next-generation healthcare is now.
REFERENCES
[1] Barsky, E., & Purdon, M. (2006). Introducing
Web 2.0: social networking and social
bookmarking for health librarians. Journal of the
Canadian Health Libraries Association/Journal
de l’Association Des Bibliothèques de La Santé
Du Canada, 27(3), 6567.
[2] Bergenti, F., & Poggi, A. (2009). Multi-agent
systems for e-health: Recent projects and
initiatives. 10Th Int. Workshop on Objects and
Agents.
[3] Bergenti, F., Poggi, A., & Tomaiuolo, M. (2016).
Multi-agent systems for e-health and
telemedicine. In Encyclopedia of e-Health and
Telemedicine (pp. 688699). IGI Global.
[4] Berthon, P., & John, J. (2006). From entities to
interfaces. The Service-Dominant Logic of
Marketing: Dialog, Debate and Directions, 196
207.
[5] Blasimme, A., Fadda, M., Schneider, M., &
Vayena, E. (2018). Data sharing for precision
medicine: policy lessons and future directions.
Health Affairs, 37(5), 702709.
[6] Cennamo, C. (2021). Competing in digital
markets: A platform-based perspective.
Academy of Management Perspectives, 35(2),
265291.
[7] Christensen, C. M., Grossman, J. H., & Hwang,
J. (2010). The innovator’s prescription. A
Disruptive Solution For.
[8] Currie, W. L., & Finnegan, D. J. (2011). The
policy‐practice nexus of electronic health records
adoption in the UK NHS: an institutional
analysis. Journal of Enterprise Information
Management.
[9] Ford, G., Compton, M., Millett, G., & Tzortzis,
A. (2017). The role of digital disruption in
healthcare service innovation. In Service
business model innovation in healthcare and
hospital management (pp. 5770). Springer.
[10] Froehle, C. M., & Roth, A. V. (2007). A
resource‐process framework of new service
development. Production and Operations
Management, 16(2), 169188.
[11] Gleiss, A., Kohlhagen, M., & Pousttchi, K.
(2021). An apple a dayhow the platform
economy impacts value creation in the healthcare
market. Electronic Markets, 31(4), 849876.
[12] Health, S. of S. for. (2008). High quality care for
all: NHS next stage review final report (Vol.
7432). The Stationery Office.
[13] Helfert, M. (2009). Challenges of business
processes management in healthcare: Experience
in the Irish healthcare sector. Business Process
Management Journal.
[14] Herrmann Maximilianand Boehme, P. and M. T.
and E. J. P. and K. S. and T. H. (2018). Digital
Transformation and Disruption of the Health
Care Sector: Internet-Based Observational Study.
J Med Internet Res, 20(3), e104.
https://doi.org/10.2196/jmir.9498
[15] Iyawa, G. E., Herselman, M., & Botha, A.
(2016). Digital health innovation ecosystems:
From systematic literature review to conceptual
framework. Procedia Computer Science, 100,
244252.
[16] Kim, J., & Park, H.-A. (2012). Development of a
health information technology acceptance model
using consumers’ health behavior intention.
Journal of Medical Internet Research, 14(5),
e133.
[17] Länsisalmi, H., Kivimäki, M., Aalto, P., &
Ruoranen, R. (2006). Innovation in healthcare: a
systematic review of recent research. Nursing
Science Quarterly, 19(1), 6672.
© May 2022 | IJIRT | Volume 8 Issue 12 | ISSN: 2349-6002
IJIRT 154838 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 380
[18] Lega, F., Prenestini, A., & Spurgeon, P. (2013).
Is management essential to improving the
performance and sustainability of health care
systems and organizations? A systematic review
and a roadmap for future studies. Value in
Health, 16(1), S46S51.
[19] Lehrer, C., Eseryel, U. Y., Rieder, A., & Jung, R.
(2021). Behavior change through wearables: the
interplay between self-leadership and IT-based
leadership. Electronic Markets, 31(4), 747764.
[20] Lenz, R., Peleg, M., & Reichert, M. (2012).
Healthcare process support: achievements,
challenges, current research. International
Journal of Knowledge-Based Organizations
(IJKBO), 2(4).
[21] Lenz, R., & Reichert, M. (2007). IT support for
healthcare processespremises, challenges,
perspectives. Data & Knowledge Engineering,
61(1), 3958.
[22] Montague, E., Kleiner, B. M., & Winchester, W.
W. (2009). Empirical evaluation of the construct
trust in medical technology. International Journal
of Industrial Ergonomics, 39(4), 628634.
[23] Omachonu, V. K., & Einspruch, N. G. (2010).
Innovation in healthcare delivery systems: a
conceptual framework. The Innovation Journal:
The Public Sector Innovation Journal, 15(1), 1
20.
[24] Oudshoorn, N. (2011). Telecare technologies and
the transformation of healthcare. Springer.
[25] Porter, M. E. (2010). What is value in health
care. N Engl J Med, 363(26), 24772481.
[26] Torous, J., Myrick, K. J., Rauseo-Ricupero, N.,
& Firth, J. (2020). Digital mental health and
COVID-19: using technology today to accelerate
the curve on access and quality tomorrow. JMIR
Mental Health, 7(3), e18848.
[27] Tzeng, S.-F., Chen, W.-H., & Pai, F.-Y. (2008).
Evaluating the business value of RFID: Evidence
from five case studies. International Journal of
Production Economics, 112(2), 601613.
[28] Wathen, N., Wyatt, S., & Harris, R. (2008).
Mediating health information: The go-betweens
in a changing socio-technical landscape.
Springer.
[29] Westbrook, J. I., & Braithwaite, J. (2010). Will
information and communication technology
disrupt the health system and deliver on its
promise? Medical Journal of Australia, 193(7),
399400.
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