{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T16:28:51Z","timestamp":1790094531808,"version":"4.0.1"},"reference-count":50,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Evaluation Clinical Practice"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The integration of ambient artificial intelligence (AI) scribes into the OpenNotes environment presents a profound governance crisis in healthcare. While patient access to medical records was designed as a transparency reform, the introduction of machine\u2010generated text introduces novel vulnerabilities regarding record integrity, liability, and patients' trust.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study investigates how clinicians discursively negotiate the systemic risks and accountability challenges of patient\u2010facing, AI\u2010assisted documentation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Employing a netnographically informed qualitative design, the research conducted a reflexive thematic analysis of 484 relevant comments across 120 threads from eight clinician\u2010oriented subreddits spanning October 2020 to February 2026.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The analysis revealed five distinct governance challenges. First, an accountability vacuum exists where the mandatory clinician signature functions merely as a legal shock absorber for institutional AI liability. Second, clinicians frame AI hallucinations as a mathematically inevitable epistemic risk rather than a correctable technical bug. Third, a \u201cdual\u2010audience\u201d problem emerges, as algorithmic optimization compromises both the individual clinical voice needed for peer communication and the empathetic clarity required for patient readers. Fourth, existing privacy frameworks are structurally inadequate to manage commercial data extraction during patient encounters. Finally, institutional productivity demands and AI\u2010driven over\u2010documentation severely threaten the fiscal credibility of the medical record through inadvertent upcoding.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The prevailing regulatory assumption\u2014that a physician's digital signature combined with passive patient visibility guarantees documentation accountability\u2014is a fragile fiction. To protect clinical truth, health systems must transition from models of passive disclosure toward contingent transparency. This requires establishing authoritative, enforceable mechanisms for provenance tracking, error contestation, and vendor accountability.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jep.70516","type":"journal-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T22:18:57Z","timestamp":1782857937000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Evaluation of AI\u2010Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0671-6056","authenticated-orcid":false,"given":"Samuel","family":"Atiku","sequence":"first","affiliation":[{"name":"Research Services Aston University Birmingham  UK"},{"name":"Digital Technology and Innovation University of Staffordshire  UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1999-5135","authenticated-orcid":false,"given":"Olufisayo","family":"Olakotan","sequence":"additional","affiliation":[{"name":"Department of Neonatology, Women and Children's Directorate University Hospitals Leicester Leicester UK"},{"name":"Faculty of Science and Engineering University of Wolverhampton Wolverhampton UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,30]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-010034"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy083"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.7212"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.2196\/13876"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.2196\/78663"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.2196\/51183"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa293"},{"key":"e_1_2_11_9_1","unstructured":"Assistant Secretary for Technology Policy \u201cInformation Blocking Complaints & Enforcement Process 09\u20102025 \u201d 2025. 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