Modelling the Factors of Technological Innovation in the Healthcare Sector: A F-TISM-MICMAC Approach

Abstract

The healthcare (HC) sector has witnessed the proliferation of technological innovations over the last few decades aiming towards enhancing the quality of life, increased life expectancy, aspects of treatment and diagnostic options and the overall cost-effectiveness of HC services. The present study aims to identify and analyse the critical factors of technological innovations in HC services delivery. The identified factors have been validated and scrutinized using the fuzzy-Delhpi technique. The validated factors are then analysed by using the fuzzy-total interpretive structural modelling (F-TISM) modelling approach to develop the hierarchical inter-relationships among the factors and placing them at the different levels of the model. The Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has been implemented in the study to classify the factors of technological interventions into autonomous, dependent, linkage and independent group. The findings of the study highlight the six hierarchical structure and bottom level factors being the independent one affecting all the other factors above them. The most influential factors in the TISM model are public-private partnerships, integrated HC information system, health 4.0 in HC services, organizational culture and consumer demand. The hierarchical model developed in the study as well as the classification of the factors enables for the implementation at managerial level to achieve the desired organizational innovation in delivering HC services.