Modelling enablers of efficiency and sustainability of health care: a m-TISM approach

Sindhwani, Rahul, Kumar, Rajender, Behl, Abhishek, Singh, Punj, Kumar, Anil and Gupta, Tanmay (2021) Modelling enablers of efficiency and sustainability of health care: a m-TISM approach. Benchmarking: an International Journal. (In Press)

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Abstract / Description

Purpose:
It would not be an exaggeration to say that healthcare is the most crucial one in today's perspective. The health care sector, in general, is engaged in working on various dimensions simultaneously like the safety, care, quality, and cost of services, etc. Still, the desired outcomes from this sector are far away, and it becomes pertinent to address all such issues associated with healthcare on a priority basis for sustaining the outcomes in a long-term perspective. The present study aims to explore the healthcare sector and list out the directly associated enablers contributing to increasing the viability of the healthcare sector. Besides, the interrelationship among the enlisted enablers needs to be studied, which further helps in setting-out the priority to deal with individual enablers based on their impedance in the contribution towards viability increment.

Design/methodology/approach:
The authors have done an extensive review to list out the enablers of the health care sector to perform efficiently and effectively. Further, the attempt has been made on the enablers to rank them by using the modified Total Interpretative Structure Modelling (m-TISM) approach. The validation of the study reveals the importance of enablers based on their position in the hierarchical structure. Further, the MICMAC analysis on the identified enabler is performed to categorize the identified enablers in the different clusters based on their driving power and dependence.

Findings:
The research tries to envisage the importance of the healthcare sector and its contribution towards national development. The outcomes of the m-TISM model in the present study reveal the noteworthy contribution of the organizational structure in managing the healthcare facilities and represented it as the perspective of future growth. The well-designed organizational structure in the healthcare industry helps in establishing better employee-employer cooperation, workforce coordination, and inter-department cooperation.

Research limitations/implications:
Every research work has limitations. Likewise, the present research work also has limitations, i.e. input taken for developing the models are from very few experts that may not reflect the opinion of the whole sector.

Practical implications:
The healthcare sector is the growing sector in the present-day scenario, and it is essential to keep the quality of treatment in check along with the quantity. The present study has laid down the practical foundations for improvement in the healthcare sector viability. Besides, the study emphasized on accountability of the healthcare sector officials to go with the enablers having the strong driving power for effective utilization of all the resources. This would further help them in customer (patients) satisfaction.

Originality/value:
Despite an increase in demand for good quality healthcare facilities worldwide, the growth of this sector is bounded by the economic, demographic, cultural, and environmental concerns, etc. The present study proposed a unique framework that provides a better understanding of the enablers. It would further help in playing a key role in increasing the viability of the healthcare sector. The hierarchy developed with the help of m-TISM and MICMAC analysis will help the viewers to recognize the important enablers based on their contribution to the viability improvement of the healthcare sector.

Item Type: Article
Uncontrolled Keywords: healthcare sector; facility improvement; modified-total interpretative structure; modelling approach; quality services, patient care
Subjects: 600 Technology > 650 Management & auxiliary services
Department: Guildhall School of Business and Law
Depositing User: Anil Kumar
Date Deposited: 14 May 2021 09:16
Last Modified: 14 May 2021 09:16
URI: http://repository.londonmet.ac.uk/id/eprint/6652

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