The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary

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.

Authors

Publication Details

Journal
Asia Pacific Journal of Health Management
Published
2026-10-29
DOI
https://doi.org/10.24083/apjhm.v21i2.5929
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary

Poona Nath Chouhan, Anuj Kumar, Joana Jaya, MAYIBONGWE TAFARA MUDZENGI et al.
Asia Pacific Journal of Health Management
Artificial Intelligence in Healthcare and Education
article

The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary

Poona Nath Chouhan, Anuj Kumar, Joana Jaya, MAYIBONGWE TAFARA MUDZENGI, Krisna Veni Balakrishnan, Gagan Bhatia
article en

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.

Asia Pacific Journal of Health Management
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
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