{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T22:45:18Z","timestamp":1776379518057,"version":"3.51.2"},"reference-count":36,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T00:00:00Z","timestamp":1771545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01LM013606"],"award-info":[{"award-number":["R01LM013606"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to evaluate how differences in case complexity affect information-processing burden, as measured by eye-tracking, as well as the efficiency of electronic health record (EHR) use among healthcare providers in the intensive care unit.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>This cross-sectional study recruited providers from 4 U.S. medical centers that use 2 prominent EHR systems (Epic and Oracle). After reporting demographic information, participants reviewed 2 complex cases and 2 standard cases in their institution\u2019s EHR system and then responded to 5 questions about each case, yielding a performance score. Information-processing burden was assessed by measuring the number of eye fixations via eye-tracking software. The efficiency of EHR use was assessed by measuring the task completion time, number of mouse clicks per minute, number of EHR screens viewed, and performance score.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Eighty-one providers were included for analysis. Providers exhibited significantly more eye fixations (P\u2009&amp;lt;\u2009.001) and longer task completion times (P\u2009&amp;lt;\u2009.001) for complex cases than for standard cases. There were also significantly fewer mouse clicks per minute during complex cases (P\u2009&amp;lt;\u2009.001). Reviewing a complex case first led to significantly more eye fixations (P\u2009=\u2009.015) and longer task completion times (P\u2009&amp;lt;\u2009.01) than when a standard case was presented first. Case complexity did not significantly affect performance scores or the number of EHR screens viewed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Higher case complexity was shown to be associated with greater information-processing burden and less efficient EHR use. These findings have implications for enhancing the efficiency of EHR use, thereby leading to improved clinical decision-making and patient safety. Furthermore, reviewing complex cases first led to a greater information-processing burden, suggesting that providers could benefit from \u201cwarming up\u201d with standard cases before reviewing complex cases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jamia\/ocag017","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T12:37:47Z","timestamp":1768999067000},"page":"881-889","source":"Crossref","is-referenced-by-count":0,"title":["Association of patient complexity with information processing and usability of electronic health records among ICU providers: a multicenter study"],"prefix":"10.1093","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8992-2946","authenticated-orcid":false,"given":"Saif","family":"Khairat","sequence":"first","affiliation":[{"name":"Carolina Helath Informatics Program, University of North Carolina at Chapel Hill , Chapel Hill, NC 27514,","place":["United States"]},{"name":"Cecil G Sheps Center for 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