{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T04:40:30Z","timestamp":1771562430563,"version":"3.50.1"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T00:00:00Z","timestamp":1589673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000133","name":"Agency for HealthCare Research and Quality","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000133","name":"AHRQ","doi-asserted-by":"publisher","award":["R01HS025375"],"award-info":[{"award-number":["R01HS025375"]}],"id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"NIAID","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Health"},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["1R01AI150295"],"award-info":[{"award-number":["1R01AI150295"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Incomplete and static reaction picklists in the allergy module led to free-text and missing entries that inhibit the clinical decision support intended to prevent adverse drug reactions. We developed a novel, data-driven, \u201cdynamic\u201d reaction picklist to improve allergy documentation in the electronic health record (EHR).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We split 3 decades of allergy entries in the EHR of a large Massachusetts healthcare system into development and validation datasets. We consolidated duplicate allergens and those with the same ingredients or allergen groups. We created a reaction value set via expert review of a previously developed value set and then applied natural language processing to reconcile reactions from structured and free-text entries. Three association rule-mining measures were used to develop a comprehensive reaction picklist dynamically ranked by allergen. The dynamic picklist was assessed using recall at top k suggested reactions, comparing performance to the static picklist.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The modified reaction value set contained 490 reaction concepts. Among 4\u00a0234\u00a0327 allergy entries collected, 7463 unique consolidated allergens and 469 unique reactions were identified. Of the 3 dynamic reaction picklists developed, the 1 with the optimal ranking achieved recalls of 0.632, 0.763, and 0.822 at the top 5, 10, and 15, respectively, significantly outperforming the static reaction picklist ranked by reaction frequency.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The dynamic reaction picklist developed using EHR data and a statistical measure was superior to the static picklist and suggested proper reactions for allergy documentation. Further studies might evaluate the usability and impact on allergy documentation in the EHR.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa042","type":"journal-article","created":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T20:10:32Z","timestamp":1585167032000},"page":"917-923","source":"Crossref","is-referenced-by-count":24,"title":["A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record"],"prefix":"10.1093","volume":"27","author":[{"given":"Liqin","family":"Wang","sequence":"first","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, USA"}]},{"given":"Suzanne V","family":"Blackley","sequence":"additional","affiliation":[{"name":"Partners HealthCare, Boston, Massachusetts, USA"}]},{"given":"Kimberly G","family":"Blumenthal","sequence":"additional","affiliation":[{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, USA"},{"name":"Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA"}]},{"given":"Sharmitha","family":"Yerneni","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"}]},{"given":"Foster R","family":"Goss","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, School of Medicine, University of Colorado, Aurora, Colorado, USA"}]},{"given":"Ying-Chih","family":"Lo","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, USA"},{"name":"Division of Nephrology, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan"},{"name":"Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2222-895X","authenticated-orcid":false,"given":"Sonam N","family":"Shah","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, USA"},{"name":"Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2394-8975","authenticated-orcid":false,"given":"Carlos A","family":"Ortega","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"}]},{"given":"Zfania Tom","family":"Korach","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, USA"}]},{"given":"Diane L","family":"Seger","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Partners HealthCare, Boston, Massachusetts, USA"}]},{"given":"Li","family":"Zhou","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine and Primary Care, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"},{"name":"Harvard Medical School, Harvard University, Boston, Massachusetts, 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