Due to the situation caused by the Covid pandemic on a global scale , change management is highly crucial particularly in the tele medicine industry. As Information Systems form the backbone of health care delivery and connect the various devices that constitute the IoT of health care devices, constant adaptation is required in the same. Precisely accurate integration of change management and technology on a timely basis for maximum efficiency and sustainability. For the information systems forming the health care information systems, as constant and timely adaptation is required, the co-efficient of progressive adaptation does indicate to exist in the field of health care information systems which connect the various devices that form part of the Internet of Health Things

1. - the co-efficient of progressive adaptation
- -By Varun.R.Mirlay guided by Dr. Adrian Bradshaw

2.  IoT encompasses everything the internet connects.
◦ Impacts all industries including Healthcare.
◦ Makes the world a global village.
 Quality care is made affordable & accessible to people in remote and rural places.
 Improves the healthcare follow-up adherence.

3.  The backbone of healthcare delivery.
◦ Includes AI, real–time monitoring, data analysis and knowledge
management.
 Increases the capacity of infrastructure for developing countries to
manage communicable and non-communicable diseases.
◦ For sustainability requires consistent adaptation of
improvements in protocol
 Co-efficient of progressive adaptation.

4.  Rate of change of progressive adaptation of
the concerned information system is directly
proportional to the efficiency of the same,
and vice-versa.
Optimum efficiency method (Oe) = Present methods
(Pm) * Θ - Eradicated steps (Es).
◦ Accuracy on a timely basis.
◦ Competitive advantage and optimum sustainability.

5. •Automation
•Cost savings
•Reduced errors
Benefits
•Predictability
•Enhanced
consistency
•Improved
quality
Benefits
•Accelerating
progress
•Greater
diagnostic
precision
Benefits Healthcare
•Enhanced
patient
experience
•Streamline
digitisation
Healthcare
 Systematic planning and steering of information
systems architecture.
 Changes with the technological aspects and
organizational aspects.

6.  Technology alone will not be adequate.
◦ Integration of technology and change management.
◦ Optimum integration of information systems.
◦ Strategic linking of health care information systems
to the various IoHT devices.
◦ Adaptability and automation play a crucial role.

7.  Real-Time Health Systems to become key to
the IoT in health care sector.
 Covid-19 pandemic is a catalyst to transform
the health care industry.
To explore Role of IoT in Telemedicine and the
application of the Co-efficient of Progressive
Adaptation to healthcare information systems
that form the medium of the Internet of Health
Things (IoHT)

8.  Literature review journals, company and
industry reports, company websites.
 Two main themes analyzed:
◦ Notable use of IoT in the field of telemedicine.
◦ Adaptation of health care information systems.
 Link the themes by applying the co-efficient
of progressive adaptation.

9.  A global survey revealed (i-Scoop, n.d.;
Arubane, n.d.).
◦ 76% of respondents believed that IoT would
transform the health care industry.
◦ 80% of the healthcare industry benefited from
innovation from IoT.
◦ Industry cost savings of 73%.

10.  Pandemic catalyzes necessity and growth of telemedicine
(Frost & Sullivan, 2020).
 Reduced face to face consultations noted by the World Health
Organization (2020).
 New technology adaptation has become an essential
requirement (Anthony, 2020).
 IoT devices, wearables and sensors to be used and connected
by Information systems (ITN, 2020).

11. Expected growth USD 72.5 billion in 2020
to USD188.2 billion by 2025 (CAGR 21%)
Acquisitions and product launches offer
lucrative opportunities in next 5 years
Reduced cost of care and AI technology
will drive growth of IoT healthcare market
Rising deployment of IoT solution in
healthcare sector drives growth in APAC
 A global survey done by Markets and Markets:

12. Adaptation Source
Internal technological changes in order to face the
external environment.
Newman, 2008
Pilarczyk, 2016;
Ngelechei, 2016
Optimal integration for competitive advantage. Kehinde, 2012;
Ngelechei, 2016
Adapt the Information Systems to enable competitive
advantage.
Schilling, 2017; Salwe,
2010
Information Systems Architecture changes on a
continuous basis.
Yellin, 2006; Merali,
2016; Schilling, 2017
Automation in health care information systems. Dias, 2014; MDX, 2020
Adaptation as a part of successful knowledge
management.
Bairi, 2011; Covetus,
2020; Ho, 2008

13. Present methods (Pm) of
the information systems:
Automation/adaptatio
n (Θ):
Automation and adaptation-
Optimum efficiency (Oe):
Eradicated Steps:
Remote monitoring with
several steps.
Robotics and Real-
Time Health systems.
Increased efficiency - accuracy,
reduced turnaround time, error
rates.
Steps automated or
assisted by robots.
Accessing patient
information.
Automation. Quality & consistency, reduced
waste, increased predictability of
outcomes, higher throughput and
data driven insights.
Steps that were
increasing the costs,
waste, reducing the
quality, consistency.
Previous method used in
health care information
system.
Intelligent
automation.
Streamlining, greater diagnostic
precision, increased efficiency.
Redundant steps.
Consult the doctor online
via phone/ skype or
portals.
AI, automation,
remote monitoring
devices.
Patient to access any doctor in
any location.
Steps not required for
remote monitoring.

15.  Telemedicine is growing on a global scale
◦ Increases the capacity globally for health risk management
and reduction .
 Remote monitoring of health care
◦ Sustainable delivery of heath care in developing countries.
 The co-efficient of progressive adaptability.
◦ Constant adaptation is required for sustainability and
resilience
◦ Timely adaptation to change/risk (Covid-19 pandemic).