{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T19:01:55Z","timestamp":1782846115115,"version":"3.54.5"},"reference-count":13,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR AI"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) is increasingly being integrated into health care to streamline documentation and improve clinician efficiency. AI-powered documentation tools, such as CarePilot, may reduce administrative burdens and help mitigate burnout. However, their usability and perceived value among medical trainees remain underexplored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to evaluate medical students\u2019 perceptions of usability, efficiency, and satisfaction when using an AI-powered documentation system in a simulated clinical setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross-sectional study was conducted at the Burnett School of Medicine at Texas Christian University. A total of 44 third- and fourth-year medical students participated in a standardized patient encounter for a headache. Using CarePilot, participants documented patient history, physical examination findings, clinical reasoning, and management decisions. Afterward, they completed a 27-item Likert scale survey assessing ease of use, documentation efficiency, organization, and overall satisfaction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The majority of respondents rated ease of use, learnability, interface likability, and documentation organization positively (with over 75% of respondents reporting satisfaction for each item). However, a subset reported neutral or dissatisfied opinions regarding overall satisfaction (13\/44, 29.5%), citing workflow interruptions and limited functionality that could affect patient interaction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CarePilot was generally perceived as user-friendly and effective for organizing documentation. Nonetheless, areas for refinement, particularly workflow integration and expanded functionalities, may enhance satisfaction and clinical applicability. These findings inform future design and implementation strategies for AI-powered documentation tools in health care education and beyond.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/74198","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T21:40:08Z","timestamp":1773697208000},"page":"e74198-e74198","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating Medical Students\u2019 Perceptions of AI-Assisted Clinical Documentation (CarePilot): Cross-Sectional Study"],"prefix":"10.2196","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6141-9800","authenticated-orcid":false,"given":"Jonathan","family":"Bindi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3107-3881","authenticated-orcid":false,"given":"Taylor","family":"Jamali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2523-1647","authenticated-orcid":false,"given":"Talia","family":"Danze","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1483-3627","authenticated-orcid":false,"given":"Iza","family":"Zabaneh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6597-5158","authenticated-orcid":false,"given":"Marisa","family":"Fat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0807-4203","authenticated-orcid":false,"given":"Joseph","family":"Tutera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6055-9391","authenticated-orcid":false,"given":"James","family":"Cox","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,5,18]]},"reference":[{"issue":"15","key":"R1","doi-asserted-by":"publisher","first-page":"2995","DOI":"10.1007\/s11606-024-08870-z","article-title":"Can the administrative loads of physicians be alleviated by AI-facilitated clinical documentation?","volume":"39","author":"Bundy","journal-title":"J Gen Intern Med"},{"issue":"1","key":"R2","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-025-02157-4","article-title":"Artificial intelligence (AI) - 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