AI-Powered Healthcare Management: Rethinking Administrative Efficiency and Service Decisions

Authors

  • Octo Gyan Falesta Institut Teknologi Sains dan Kesehatan Insan Cendekia Medika Jombang image/svg+xml

DOI:

https://doi.org/10.22437/2vz13s94

Keywords:

Public Health Management, Administration Efficiency, Decision Making, Human Oversight, Artificial Intelligence

Abstract

The utilization of Artificial Intelligence (AI) in healthcare services has emerged as a strategic approach to enhancing administrative efficiency and supporting service-related decision-making. However, its implementation also raises concerns regarding information accuracy, data security, human resource readiness, technological dependence, and decision accountability. This study aims to explore the role of AI in healthcare service management, particularly in improving administrative efficiency and supporting informed decision-making, while identifying challenges associated with its implementation. A qualitative approach with a descriptive-interpretive design was employed. Four participants—comprising a hospital administrator, healthcare service manager, medical records officer, and health information systems staff member—were selected through purposive sampling. Data were collected through semi-structured interviews and analyzed using reflexive thematic analysis. The credibility of the findings was enhanced through member checking, source triangulation, an audit trail, and researcher reflexivity. Three major themes emerged: (1) AI as a driver of administrative efficiency and service transformation; (2) AI as a support mechanism for information-based decision-making; and (3) implementation dilemmas involving human oversight and organizational readiness. The findings indicate that AI primarily functions as an augmentative technology that accelerates administrative processes and provides analytical support rather than fully replacing human judgment. Effective implementation requires AI output validation, digital competencies, robust data governance, information security, and clear accountability mechanisms. Generally, the study underscores the importance of human–AI collaboration in developing efficient, adaptive, and responsible healthcare service management

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Published

2026-09-16