The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary: - AI Driven Health Care Innovation & Integration in India, 2026

Joana  Jaya; Gagan  Bhatia; Mayibongwe  Tafara Mudzengi; Poona  Nath Chouhan; Krisna  Veni Balakrishnan; Anuj  Kumar

doi:10.24083/apjhm.v21i2.5929

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Published: Oct 29, 2026

DOI: https://doi.org/10.24083/apjhm.v21i2.5929

Keywords:

digital health, patient outcomes, Artificial Intelligence; AI Implementation; Hospitals; Primary Care; Context-Sensitive Strategies; Healthcare Governance.

Joana Jaya

Faculty of Business and Communications, INTI International University, Persiaran Perdana BBN Putra Nilai, Negeri Sembilan, Malaysia

https://orcid.org/0009-0007-6195-4069

Gagan Bhatia

ISME School of Management and Entrepreneurship, Atlas SkillTech University, Mumbai, India

https://orcid.org/0009-0007-3810-3477

Mayibongwe Tafara Mudzengi

International Relations and Collaborations Centre (IRCC), INTI International University, Persiaran Perdana BBN, Putra Nilai, Negeri Sembilan, Malaysia

Poona Nath Chouhan

Nootan Ayurvedic College & Research Centre, Sankalchand Patel University, India

https://orcid.org/0000-0003-0641-8240

Krisna Veni Balakrishnan

Rushford Business School, Switzerland

https://orcid.org/0009-0005-0659-2814

Anuj Kumar

Faculty of Management Studies, Marwadi University Research Centre, Marwadi University, Rajkot, Gujarat, India

https://orcid.org/0000-0002-1205-2794

Abstract

Objective: This viewpoint paper aimed to challenge the universal Artificial Intelligence (AI) implementation in healthcare, and based on empirical studies, ascertained that hospitals and primary care require context-sensitive implementation strategies.

Issue: The one-size-fits-all AI implementation and adoption in healthcare adversely affects it comprehensive integration.

Outcomes: AI implementation must consider varying governance structures, workflow dynamics, resource availability, and technical maturity in different healthcare settings.

Conclusion: While usability, affordability, and workflow fit should be the focus of AI implementation in primary care, hospitals must emphasise governance, infrastructure, and integration.

How to Cite

Jaya, J. ., Bhatia, G., Tafara Mudzengi, M. ., Nath Chouhan, P. ., Veni Balakrishnan, K. ., & Kumar, A. . (2026). The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary: - AI Driven Health Care Innovation & Integration in India, 2026. Asia Pacific Journal of Health Management. https://doi.org/10.24083/apjhm.v21i2.5929