{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T21:07:26Z","timestamp":1765487246631,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Introduction: Japan\u2019s healthcare system is lauded for its quality and accessibility, yet challenges like an aging population necessitate innovative solutions such as generative AI. Methods: To explore public perceptions, the Health and Global Policy Institute conducted a nationwide survey in December 2023 with 1,000 valid responses. Results: Satisfaction rose slightly post-pandemic, though equity and inclusion gaps remain. Most respondents were unfamiliar with generative AI (58.6% unaware; 10% users), yet nearly one-third expressed interest and anticipated improvements in service delivery and quality. Preferred overseers of AI were healthcare institutions (25.9%) and government bodies (16.3%). Discussion: These findings suggest that while the public recognizes AI\u2019s potential, low awareness could hamper adoption. Conclusions: To harness generative AI responsibly, Japan must invest in public education, establish transparent policies, and build robust governance frameworks that address equity, ethics, and data stewardship.<\/jats:p>","DOI":"10.3233\/shti251363","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:49:57Z","timestamp":1754567397000},"source":"Crossref","is-referenced-by-count":1,"title":["Public Perception of Healthcare and the Potential of Generative AI in Japan: Findings from a Nationwide Survey"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2270-2313","authenticated-orcid":false,"given":"Kazumi","family":"Kubota","sequence":"first","affiliation":[{"name":"Health and Global Policy Institute, Japan"},{"name":"The The University of Tokyo Hospital, Japan"},{"name":"Shimonoseki City University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shotaro","family":"Tsukamoto","sequence":"additional","affiliation":[{"name":"Health and Global Policy Institute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joji","family":"Sugawara","sequence":"additional","affiliation":[{"name":"Health and Global Policy Institute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryoji","family":"Noritake","sequence":"additional","affiliation":[{"name":"Health and Global Policy Institute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takanori","family":"Fujita","sequence":"additional","affiliation":[{"name":"Health and Global Policy Institute, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:49:57Z","timestamp":1754567397000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251363","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}