Importance of Information Systems adaptation focusing on healthcare information systems sensitizing to healthcare 4.0 & Society 5.0.

Abstract

Introduction

Global healthcare is likely to reach a magnitude of US$ 1,211.14 billion by 2034 with a C.A.G.R. of 22.5% from 2024 to 2034 indicating the enormous magnitude. Due to the technological advent, IoT in Healthcare (IoHT),Healthcare 4.0 , Society 5.0 and remote patient management altogether dynamically change the perception of the healthcare sector thereby transforming healthcare into a new technological 'realm' where healthcare information systems(H.I.S) is the backbone of healthcare delivery. HIS needs to be adapted internally for external sustainability of the healthcare delivery platform. This mentioned HIS adaptation needs to be done at constant intervals of time, thus the accurate method of Information Systems adaptation needs to be formulated.

Objectives

This research paper aims to endorse the new method of Information Systems efficiency management called the Co-efficient of Progressive Adaptation which states that , “the rate of change of progressive adaptation of the concerned Information Systems is directly proportional to the efficiency of the same. Vice-versa”. This method indicates prominence because, the H.I.S as mentioned  need to be adapted internally in order to adapt to the dynamically changing external environment providing maximum efficiency, sustainability and the competitive advantage. For this , just technology alone will not be adequate. The accurate combination of technology and change management together will be required to devise the optimum strategy for Information systems adaptation which in this case is the Healthcare Information Systems.

Methods

This research work uses a mixed methodology by primarily focusing on conceptual research endorsed by epistemology and empirical research endorsed by phenomenology.

The conceptual research uses literature review by reviewing more than 100 articles on the topic of Information Systems efficiency management published on and after 2020. These articles were analyzed based on the theme of Information Systems efficiency management and thereby shortlisted. The aggregate findings were endorsed by epistemology and thus the consolidated aggregate was ontologically linked by the Co-efficient of Progressive Adaptation to the aggregate seminal  findings from the empirical research that was endorsed by the implementation of phenomenology thereby indicating the result.

Results

Having focus on information systems adaptation on an accurate and timely basis for the optimum efficiency, accurate combination of change management and technology , eradication of steps no longer required , automation and adaptation , direct proportionality to the adaptation and H.I.S. and the inverse proportion between H.I.S. efficiency and the eradicated steps no longer required thereby covering gaps of the existing methods of information systems efficiency management as discovered in the gap analysis and seminal findings holistically blended using ontologically thereby indicating the importance of I.S. adaptation using the Coefficient of Progressive Adaptation.

Conclusion

In the contemporary healthcare ecosystem, with Remote Patient  Management inverting the perception of the healthcare sector and eradicating geographical barriers thus increasing patient information multi-fold, the accurate implementation of Knowledge Management Systems , AI, Cloud and Big Data into the Healthcare information Systems that form the backbone of  delivery for the healthcare delivery platform’s external sustainability is highly crucial. This can be done using the Co-efficient of Progressive Adaptation.