ムシアキ　マサカズ   Masakazu Mushiaki   虫明　昌一    所属   川崎医療福祉大学  医療福祉マネジメント学部 医療データサイエンス学科    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Effectiveness of Artificial Intelligence-based Re-employment Support Tool (Chokowa) for Nurses: A Diversity Management Approach
掲載誌名	正式名：Kawasaki Journal of Medical Welfare ISSNコード：1341-5077
掲載区分	国内
巻・号・頁	31(2),pp.81-88
著者・共著者	Mushiaki M, Oi Y, Kashimura N, Honno K
担当区分	筆頭著者,責任著者
発行年月	2026/04
概要	Nursing shortages in Japan have intensified owing to rapid population aging and advances in medical technology. Encouraging "latent nurses," who are licensed but not currently practicing, to return to the workforce has been recognized as an effective measure to address this issue. However, effective strategies for re-employment support remain limited. This study examined the usefulness and limitations of an artificial intelligence (AI)-assisted re-employment support tool from the perspective of diversity management. A qualitative descriptive study was conducted using the Modified Grounded Theory Approach (M-GTA). Ten nurses (one male and nine female) who had reentered the workforce within the past year through the use of an AI-based support tool, Chokowa (developed by ConeXi Inc., Okayama, Japan), were interviewed. Chokowa is an AI-driven matching system designed to analyze nurses’ work histories, preferences, and lifestyle factors to recommend suitable job opportunities, while incorporating human advisors who provide individualized followup support. Data were analyzed to generate concepts and categories explaining the re-employment process. The findings indicate that AI-assisted personalized support reduced psychological barriers and enhanced motivation for re-employment through timely job matching and lifestyle-oriented guidance. At the same time, participants emphasized the necessity of human counseling, continuous support, and flexible work environments. These results suggest that sustainable re-employment of nurses requires a hybrid model integrating AI technology with human support and organizational reforms, contributing to inclusive workforce development and the alleviation of nursing shortages.