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Dissertation 4.6

Explainable AI and Interoperability among Hospital Administrators — 2022–2027 Trends

37
Pages
Chicago
Style
~ 39–56 mins
Reading Time
Sociology Impact Health
Abstract

This dissertation investigates “Explainable AI and Interoperability among Hospital Administrators — 2022–2027 Trends” using a time-series forecasting. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Explainable AI and Interoperability among Hospital Administrators — 2022–2027 Trends

ABSTRACT
Explainable AI and Interoperability among Hospital Administrators — 2022–2027 Trends is unpacked across themes: costs, change enablement, usability, and scalability. Limitations and future research paths are noted.
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