ArticleAnnals of African medicine2026
Assessment of Large Language Models in Human Resource Challenges across Corporate Hospitals in India: A Cross-sectional Study.
Article in Annals of African medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
backgroundThe primary objective of the study was to evaluate and compare the effectiveness of four artificial intelligence (AI) platforms - ChatGPT, DeepSeek AI, Copilot, and Gemini - in providing solutions to common human resource (HR) challenges in corporate hospitals across India.
methodsA cross-sectional, questionnaire-based online study was conducted among 50 h professionals with over 10 years of experience across corporate hospitals in India. Ten real-world HR problem scenarios were designed and fed into the four AI platforms using a standardized prompt. The responses were anonymized, coded, and rated by participants on five criteria: accuracy, relevance, practicability, overall response, and likelihood of use. Data were analyzed using Epi Info (version 7.0) with Chi-square tests; P < 0.05 was considered significant.
resultsAmong participants, 40% were male and 60% female; 50% had over 25 years of HR experience. ChatGPT and DeepSeek AI received the highest ratings for accuracy (85% and 84% "strongly agree"), relevance, and practicability, with 80%-81% indicating a high likelihood of future use. Copilot and Gemini showed moderate acceptance (55%-60% likelihood of use). There was no significant association between responses and participant gender or years of experience.
conclusionsAI platforms, particularly ChatGPT and DeepSeek AI, demonstrate strong potential to support HR professionals in solving routine challenges, improving efficiency, and decision-making. However, effective adoption requires training, data accuracy, and ethical safeguards to address issues such as bias and privacy.
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