Artificial Intelligence and Hospitals-Healing with Algorithms: Turning Potential into Patient Benefit-The Future of Hospital Medicine

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DOI:

https://doi.org/10.3126/jobh.v1i3.86367

Keywords:

artificial intelligence, clinical decision support, hospital workflow, sepsis, machine learning, algorithmic equity

Abstract

Artificial intelligence (AI) is rapidly transitioning from experimental tools to real-world clinical deployment. Hospitals now face the challenge of translating AI’s promise into tangible patient benefit. This editorial discusses current evidence, risks, and best practices in the integration of AI into hospital workflows-highlighting lessons from sepsis prediction, acute kidney injury forecasting, and imaging diagnostics. It argues that successful implementation depends not only on technical performance but also on usability, transparency, and equity. For resource-constrained public hospitals such as Bharatpur Hospital, the path forward lies in thoughtful prioritization, strong clinical–data partnerships, and vigilant monitoring.

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Author Biography

Mani Prasad Gautam, National Academy of Medical Sciences

Department of Cardiology, Bharatpur Hospital, Bagmati Province, Bharatpur, Chitwan, Nepal

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Published

2025-12-31

How to Cite

Gautam, M. P. (2025). Artificial Intelligence and Hospitals-Healing with Algorithms: Turning Potential into Patient Benefit-The Future of Hospital Medicine. Journal of Bharatpur Hospital, 1(3), 156–158. https://doi.org/10.3126/jobh.v1i3.86367

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Section

Editorial