{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T08:07:37Z","timestamp":1791619657985,"version":"4.3.4"},"reference-count":53,"publisher":"National Academy of Sciences","issue":"31","license":[{"start":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T00:00:00Z","timestamp":1690156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000867","name":"Robert Wood Johnson Foundation","doi-asserted-by":"publisher","award":["73593"],"award-info":[{"award-number":["73593"]}],"id":[{"id":"10.13039\/100000867","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.pnas.org"],"crossmark-restriction":true},"short-container-title":["Proc. Natl. Acad. Sci. U.S.A."],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>Errors in clinical decision-making are disturbingly common. Recent studies have found that 10 to 15% of all clinical decisions regarding diagnoses and treatment are inaccurate. Here, we experimentally study the ability of structured information\u2013sharing networks among clinicians to improve clinicians\u2019 diagnostic accuracy and treatment decisions. We use a pool of 2,941 practicing clinicians recruited from around the United States to conduct 84 independent group-level trials, ranging across seven different clinical vignettes for topics known to exhibit high rates of diagnostic or treatment error (e.g., acute cardiac events, geriatric care, low back pain, and diabetes-related cardiovascular illness prevention). We compare collective performance in structured information\u2013sharing networks to collective performance in independent control groups, and find that networks significantly reduce clinical errors, and improve treatment recommendations, as compared to control groups of independent clinicians engaged in isolated reflection. Our results show that these improvements are not a result of simple regression to the group mean. Instead, we find that within structured information\u2013sharing networks, the worst clinicians improved significantly while the best clinicians did not decrease in quality. These findings offer implications for the use of social network technologies to reduce errors among clinicians.<\/jats:p>","DOI":"10.1073\/pnas.2108290120","type":"journal-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T15:08:10Z","timestamp":1690211290000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":12,"title":["Experimental evidence for structured information\u2013sharing networks reducing medical errors"],"prefix":"10.1073","volume":"120","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8084-2333","authenticated-orcid":false,"given":"Damon","family":"Centola","sequence":"first","affiliation":[{"name":"Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"Network Dynamics Group, University of Pennsylvania, Philadelphia, PA 19104"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3054-2447","authenticated-orcid":false,"given":"Joshua","family":"Becker","sequence":"additional","affiliation":[{"name":"School of Management, University College London, London E14 5AA, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1733-6857","authenticated-orcid":false,"given":"Jingwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Network Dynamics Group, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"Department of Communication, University of California, Davis, CA 95616"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaya","family":"Aysola","sequence":"additional","affiliation":[{"name":"Penn Medicine Center for Health Equity Advancement, University of Pennsylvania Health System and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0177-3027","authenticated-orcid":false,"given":"Douglas","family":"Guilbeault","sequence":"additional","affiliation":[{"name":"Network Dynamics Group, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"Haas School of Management, University of California, Berkeley, CA 94720"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2514-3572","authenticated-orcid":false,"given":"Elaine","family":"Khoong","sequence":"additional","affiliation":[{"name":"Network Dynamics Group, University of Pennsylvania, Philadelphia, PA 19104"},{"name":"Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco, CA 94110"},{"name":"Division of General Internal Medicine at San Francisco General Hospital, University of California, San Francisco, CA 94110"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"341","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"key":"e_1_3_4_1_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199102073240605"},{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2009.0513"},{"key":"e_1_3_4_3_2","volume-title":"in Health Care","author":"Balogh E. 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