{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:58Z","timestamp":1755219838638,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"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>Background: As societies age, the demand for high-quality, continuous elderly care rises. Traditional clinical care often struggles to address the multifaceted needs of older adults, particularly those requiring long-term care. The Continuity of Care Maturity Model (CoCMM) by HIMSS highlights the importance of integrated, patient-centered care, yet challenges such as fragmented communication, insufficient data integration, and lack of real-time records persist in Taiwan. Objective: This study aimed to design, implement, and evaluate \u201cLife Concerto,\u201d (\u5fa1\u66f2\u00ae) an AI-enabled integrated communication and collaboration platform, to address these gaps and improve care quality and efficiency. Methods: Life Concerto utilized a BERT-based natural language processing system for keyword and message classification, supported by expert-curated decision-support algorithms. The platform facilitated multilingual communication, real-time interaction, and structured documentation among caregivers, healthcare providers, and family members. Pilot implementation included 897 chat rooms and over 2,167 users across 35 institutions, integrating use cases for long-term care, home-based acute care, and dementia care. Results: Results showed a 5.5 times per week interaction frequency between patients and care teams, significantly higher than traditional care models. It also reduced dementia visit times by 66.4%, cutting administrative workload and improving data accuracy, as it enabled real-time sharing of patient conditions, vital signs, and episode records. Multilingual support, including Indonesian, Filipino, Vietnamese, and English, broke down language barriers and ensured inclusive communication for foreign caregivers. Discussion: Achieving HIMSS Continuity of Care Maturity Model Level 7, Life Concerto established a dynamic, interconnected, patient-centered care model. While adoption barriers such as training requirements and resistance to change were noted, the platform\u2019s success highlights the transformative potential of AI-driven solutions in elderly care. Future efforts should focus on seamless integration with electronic health records (EHRs) and addressing implementation challenges to promote widespread adoption and enhance holistic care delivery.<\/jats:p>","DOI":"10.3233\/shti250986","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:37:19Z","timestamp":1754566639000},"source":"Crossref","is-referenced-by-count":0,"title":["Transforming Geriatric Care: A HIMSS Level 7 Model for Holistic Patient-Centered Service Delivery (\u5fa1\u66f2\u00ae Life Concerto)"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2334-348X","authenticated-orcid":false,"given":"Li-Kuo","family":"Liu","sequence":"first","affiliation":[{"name":"Institute of Biomedical Informatics, National Yang-Ming Chiao Tung University, Taipei, Taiwan"},{"name":"Taipei City Hospital Zhongxing Branch, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Ru","family":"Chiu","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Informatics, National Yang-Ming Chiao Tung University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting Yi","family":"Li","sequence":"additional","affiliation":[{"name":"9 Rise International Mobile Health Technology Co., LTD"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siang-Hao","family":"Lee","sequence":"additional","affiliation":[{"name":"9 Rise International Mobile Health Technology Co., LTD"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Po-Lun","family":"Chang","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Informatics, National Yang-Ming Chiao Tung University, Taipei, Taiwan"},{"name":"9 Rise International Mobile Health Technology Co., LTD"}],"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\/SHTI250986","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:37:19Z","timestamp":1754566639000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250986"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250986","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}