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Employability implications of artificial intelligence in healthcare ecosystem: responding with readiness

Mahima Jain (Department of Management Studies (DMS), Indian Institute of Technology Delhi, New Delhi, India)
Apoorva Goel (Department of Management Studies (DoMS), Indian Institute of Technology Madras, Chennai, India)
Shuchi Sinha (Department of Management Studies (DMS), Indian Institute of Technology Delhi, New Delhi, India)
Sanjay Dhir (Department of Management Studies (DMS), Indian Institute of Technology Delhi, New Delhi, India)

Foresight

ISSN: 1463-6689

Article publication date: 4 January 2021

Issue publication date: 3 February 2021

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Abstract

Purpose

Intervention of artificial intelligence (AI) has brought up the issue of future job prospects in terms of the employability of the professionals and their readiness to harness the benefits of the AI. The purpose of this study is to recognize the implications of AI on employability by analyzing the issues in the health-care sector that if not addressed, can dampen the possibilities offered by AI intervention and its pervasiveness (Cornell University, INSEAD, and WIPO, 2019).

Design/methodology/approach

To get an insight on these concerns, an approach of total interpretive structural modelling, cross impact matrix multiplication applied to classification and path analysis have been used to understand the role of the critical factors influencing employability in the health-care sector.

Findings

This study primarily explores the driving-dependence power of the critical factors of the employability and displays hierarchical relationships. It also discusses measures which, if adopted, can enhance employability in the health-care sector with the intervention of AI.

Research limitations/implications

Employability also has an impact on the productivity of the health-care service delivery which may provide a holistic opportunity to the management in health-care organizations to forecast the allocation and training of human resources and technological resources.

Originality/value

The paper attempts to analyze AI intervention and other driving factors (operational changes, customized training intervention, openness to learning, attitude toward technology, job-related skills and AI knowledge) to analyze their impact on employability with the changing needs. It establishes the hierarchical relationship among the critical factors influencing employability in the health-care sector because of the intervention of AI.

Keywords

Acknowledgements

The work presented in this paper was carried out as a part of Research Project (Proposal ID – 1452, 2019) financed by the Scheme for Promotion of Academic and Research Collaboration (SPARC), Ministry of Human Resource Development, Government of India Initiative.

Citation

Jain, M., Goel, A., Sinha, S. and Dhir, S. (2021), "Employability implications of artificial intelligence in healthcare ecosystem: responding with readiness", Foresight, Vol. 23 No. 1, pp. 73-94. https://doi.org/10.1108/FS-04-2020-0038

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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