{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T18:57:50Z","timestamp":1772218670706,"version":"3.50.1"},"reference-count":32,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T00:00:00Z","timestamp":1577750400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100006324","name":"American Psychological Association","doi-asserted-by":"publisher","award":["Dissertation Research award"],"award-info":[{"award-number":["Dissertation Research award"]}],"id":[{"id":"10.13039\/100006324","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Hum Factors"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p> This study evaluated task-scheduling decisions in the context of emergency departments by comparing patterns of emergency physicians\u2019 task-scheduling models across levels of experience. <\/jats:p><\/jats:sec><jats:sec><jats:title>Background<\/jats:title><jats:p> Task attributes (priority, difficulty, salience, and engagement) influence task-scheduling decisions. However, it is unclear how attributes interact to affect decisions, especially in complex contexts. An existing model of task scheduling, strategic task overload management-no priority (STOM-NP), found that an equal weighting of attributes can predict task-scheduling behavior. Alternatively, mathematical modeling estimated that priority alone could make similar predictions as STOM-NP in a parsimonious manner. Experience level may also influence scheduling decisions. <\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p> An experimental design methodology shortened a judgment analysis approach to compare a priori task-scheduling decision strategies. Emergency physicians with two levels of experience rank-ordered 10 sets of 3 tasks varying on 4 task attributes in this complex environment. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> Bayesian statistics were used to identify best-fit decision strategies. STOM-NP and priority-only provided the best model fits. STOM-NP fit the lower-experienced physicians best, whereas priority-only\u2014using only one cue\u2014fit the higher-experienced physicians best. <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p> Models of decision strategies for task-scheduling decisions were extended to complex environments. Experts\u2019 level of experience influenced task-scheduling decisions, where the scheduling decisions of more-experienced experts was consistent with a more frugal decision process. Findings have implications for training and evaluation. <\/jats:p><\/jats:sec><jats:sec><jats:title>Application<\/jats:title><jats:p> We assessed models of cues that influence task-scheduling decisions, including a parsimonious model for task priority only. We provided a sample approach for shortening methods for understanding decisions. <\/jats:p><\/jats:sec>","DOI":"10.1177\/0018720819893427","type":"journal-article","created":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T18:22:51Z","timestamp":1577816571000},"page":"450-461","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Modeling Task Scheduling Decisions of Emergency Department Physicians"],"prefix":"10.1177","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2343-9003","authenticated-orcid":false,"given":"Laura H.","family":"Barg-Walkow","sequence":"first","affiliation":[{"name":"Children\u2019s Hospital Colorado, Aurora, USA"}]},{"given":"Rickey P.","family":"Thomas","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6789-4446","authenticated-orcid":false,"given":"Christopher D.","family":"Wickens","sequence":"additional","affiliation":[{"name":"Alion Science and Technology, Boulder, USA"}]},{"given":"Wendy A.","family":"Rogers","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, USA"}]}],"member":"179","published-online":{"date-parts":[[2019,12,31]]},"reference":[{"key":"bibr1-0018720819893427","doi-asserted-by":"publisher","DOI":"10.1177\/109442802237117"},{"key":"bibr2-0018720819893427","doi-asserted-by":"publisher","DOI":"10.1177\/0149206314560412"},{"key":"bibr3-0018720819893427","unstructured":"Barg-Walkow L. 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