Physicians’ perceptions and attitudes on artificial intelligence in hospital management: a qualitative study

Artificial intelligence has begun to find its way into hospital management, where it is used to ease tasks, such as allocating resources, coordinating workflows and handling data. For physicians, who directly experience effects of management systems, their perspectives are critical to whether AI tools can be meaningfully adopted and integrated. Yet research in this area has tended to remain on clinical side, with far less attention given to how physicians perceive and respond to AI in hospital management. This study aims to examine how physicians in China perceive, experience, evaluate use of artificial intelligence in hospital management. It seeks identify potential application scenarios, highlight factors that facilitate or hinder integration, explore differences across physician groups. The study used qualitative approach, with semi-structured interviews involving 25 practicing physicians in China. Data were analysed in NVivo with reflexive thematic analysis, carried out in six steps. The study identified four main themes about physicians’ views on artificial intelligence in hospital management: potential of AI applications, factors that drive use, barriers to use, and integration strategies, along with 12 related subthemes. This study points out both opportunities and challenges in bringing artificial intelligence into hospital management. AI shows clear potential to improve efficiency and support institutional and digital transformation, but its use is limited by weak infrastructure, financial constraints and cultural resistance. Physicians’ attitudes also differ by role, hospital level, age, experience and views on risk. Because this study uses purposive sampling, a cross-sectional design and includes only physicians, the generalizability of the findings is limited.

Authors

Institutions

Publication Details

Journal
BMC Health Services Research
Published
2025-11-27
DOI
https://doi.org/10.1186/s12913-025-13815-1
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physicians’ perceptions and attitudes on artificial intelligence in hospital management: a qualitative study

Nazean Jomhari, Nik Daliana Nik Farid, Xizhen Zhou, Ying Xing
1 citations
BMC Health Services Research
Artificial Intelligence in Healthcare and Education
0.65
article

Physicians’ perceptions and attitudes on artificial intelligence in hospital management: a qualitative study

Nazean Jomhari, Nik Daliana Nik Farid, Xizhen Zhou, Ying Xing
article en
1 citations

Abstract

Artificial intelligence has begun to find its way into hospital management, where it is used to ease tasks, such as allocating resources, coordinating workflows and handling data. For physicians, who directly experience effects of management systems, their perspectives are critical to whether AI tools can be meaningfully adopted and integrated. Yet research in this area has tended to remain on clinical side, with far less attention given to how physicians perceive and respond to AI in hospital management. This study aims to examine how physicians in China perceive, experience, evaluate use of artificial intelligence in hospital management. It seeks identify potential application scenarios, highlight factors that facilitate or hinder integration, explore differences across physician groups. The study used qualitative approach, with semi-structured interviews involving 25 practicing physicians in China. Data were analysed in NVivo with reflexive thematic analysis, carried out in six steps. The study identified four main themes about physicians’ views on artificial intelligence in hospital management: potential of AI applications, factors that drive use, barriers to use, and integration strategies, along with 12 related subthemes. This study points out both opportunities and challenges in bringing artificial intelligence into hospital management. AI shows clear potential to improve efficiency and support institutional and digital transformation, but its use is limited by weak infrastructure, financial constraints and cultural resistance. Physicians’ attitudes also differ by role, hospital level, age, experience and views on risk. Because this study uses purposive sampling, a cross-sectional design and includes only physicians, the generalizability of the findings is limited.

BMC Health Services ResearchVol. 26(1)
University of Malaya (MY)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.