{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T05:04:08Z","timestamp":1770959048670,"version":"3.50.1"},"reference-count":49,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p> Background. Artificial intelligence (AI) intends to support clinicians\u2019 patient diagnosis decisions by processing and identifying insights from multimedia patient information. Objective. We explored clinicians\u2019 current decision-making patterns using multimedia patient information (MPI) provided by AI algorithms and identified areas where AI can support clinicians in diagnostic decision-making. Design. We recruited 87 advanced practice nursing (APN) students who had experience making diagnostic decisions using AI algorithms under various care contexts, including telehealth and other healthcare modalities. The participants described their diagnostic decision-making experiences using videos, images, and audio-based MPI. Results. Clinicians processed multimedia patient information differentially such that their focus, selection, and utilization of MPI influence diagnosis and satisfaction levels. Conclusions and implications. To streamline collaboration between AI and clinicians across healthcare contexts, AI should understand clinicians\u2019 patterns of MPI processing under various care environments and provide them with interpretable analytic results for them. Furthermore, clinicians must be trained with the interface and contents of AI technology and analytic assistance. <\/jats:p>","DOI":"10.1177\/14604582221077049","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T14:00:02Z","timestamp":1646056802000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Moving toward AI-assisted decision-making: Observation on clinicians\u2019 management of multimedia patient information in synchronous and asynchronous telehealth contexts"],"prefix":"10.1177","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7763-1095","authenticated-orcid":false,"given":"Hyeyoung","family":"Hah","sequence":"first","affiliation":[{"name":"Department of Information Systems and Business Analytics, Florida International University, FL, USA"}]},{"given":"Deana","family":"Goldin","sequence":"additional","affiliation":[{"name":"Nicole Wertheim College of Nursing & Health Sciences, Florida International University, FL, USA"}]}],"member":"179","published-online":{"date-parts":[[2022,2,28]]},"reference":[{"key":"bibr1-14604582221077049","first-page":"89","volume":"3","author":"Smith M","year":"2008","journal-title":"Clin Reasoning Health Professions"},{"key":"bibr2-14604582221077049","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2021.019"},{"key":"bibr3-14604582221077049","doi-asserted-by":"publisher","DOI":"10.2196\/10010"},{"key":"bibr4-14604582221077049","doi-asserted-by":"publisher","DOI":"10.1007\/s41649-019-00096-0"},{"key":"bibr5-14604582221077049","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejim.2017.06.017"},{"key":"bibr6-14604582221077049","volume-title":"Definitions\/Characteristics of Artificial Intelligence in Health Care","author":"ANSI","year":"2020"},{"issue":"2","key":"bibr7-14604582221077049","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.1365-2702.2006.01791.x","volume":"17","author":"Banning M","year":"2008","journal-title":"J Clin Nurs"},{"key":"bibr8-14604582221077049","doi-asserted-by":"publisher","DOI":"10.2307\/3250969"},{"key":"bibr9-14604582221077049","doi-asserted-by":"publisher","DOI":"10.1504\/IJBET.2007.014137"},{"key":"bibr10-14604582221077049","doi-asserted-by":"crossref","unstructured":"Mayer RE. 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