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AI-first, expert-verified: validating generative AI for HFACS-based coding of healthcare RCA transcripts with governance considerations.

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Bibliographic Details
Title: AI-first, expert-verified: validating generative AI for HFACS-based coding of healthcare RCA transcripts with governance considerations.
Authors: Lee JY; Center for Quality Management, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Huang CH; Division of Infectious Disease, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.; College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan., Hsieh CH; Department of General Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.; College of Science and Engineering, Fu Jen Catholic University, New Taipei City, Taiwan., Lin CS; Department of Information Technology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.; Department of Human Resources, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Yang PC; Nursing Department, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Lai YL; Department of Information Technology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Yeh CA; Center for Quality Management, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Tien CJ; Legal Affairs Office, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan., Chang JT; Center for Quality Management, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.; College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan.; Division of Nephrology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Source: International journal for quality in health care : journal of the International Society for Quality in Health Care [Int J Qual Health Care] 2026 Apr 13; Vol. 38 (2).
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9434628 Publication Model: Print Cited Medium: Internet ISSN: 1464-3677 (Electronic) Linking ISSN: 13534505 NLM ISO Abbreviation: Int J Qual Health Care Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1464-3677
DOI:10.1093/intqhc/mzag045