{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T21:29:54Z","timestamp":1789680594599,"version":"4.0.1"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T00:00:00Z","timestamp":1725926400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brit J Clinical Pharma"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec><jats:title>Aims<\/jats:title><jats:p>Computerized decision support systems (CDSSs) aim to prevent adverse drug events. However, these systems generate an overload of alerts that are not always clinically relevant. Anticoagulants are frequently involved in these alerts. The aim of this study was to investigate the efficiency of CDSS alerts on anticoagulants in Dutch hospital pharmacies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A multicentre, single\u2010day, cross\u2010sectional study was conducted using a flashmob design in Dutch hospital pharmacies, which have CDSSs that operate on both a national medication surveillance database and on self\u2010developed clinical rules. Hospital pharmacists and pharmacy technicians collected data on the number and type of alerts and time needed for assessing these alerts. The primary outcome was the CDSS efficiency on anticoagulants, defined as the percentage of alerts on anticoagulants that led to an intervention. Secondary outcomes where among other CDSSs efficiency related to any medications and the time expenditure. Descriptive data\u2010analysis was used.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the 69 hospital pharmacies invited, 42 (61%) participated. The efficiency of CDSS alerts on anticoagulants was 4.0% (interquartile range [IQR] 14.0%) for the national medication surveillance database alerts and 14.3% (IQR 40.0%) for alerts from clinical rules. For any medication, the efficiency was lower: 1.8% (IQR 7.5%) and 13.4% (IQR 21.5%) respectively. The median time for assessing the relevance of all alerts was 2 (IQR 1:21) h\/day for pharmacists and 6 (IQR 5:01) h\/day for pharmacy technicians.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>CDSS efficiency is generally low, both for anticoagulants and any medication, while the time investment is high. Optimization of CDSSs is needed.<\/jats:p><\/jats:sec>","DOI":"10.1111\/bcp.16236","type":"journal-article","created":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T00:59:28Z","timestamp":1726016368000},"page":"157-165","source":"Crossref","is-referenced-by-count":3,"title":["Efficiency of computerized clinical decision support systems involving anticoagulants: A flashmob study in Dutch hospital pharmacies"],"prefix":"10.1111","volume":"91","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5275-1199","authenticated-orcid":false,"given":"Jetske","family":"Graafsma","sequence":"first","affiliation":[{"name":"Department of Clinical Pharmacy and Pharmacology University Medical Center Groningen  Groningen the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ewoudt M. W.","family":"van de Garde","sequence":"additional","affiliation":[{"name":"Department of Pharmacy St. Antonius Hospital  Utrecht\/Nieuwegein the Netherlands"},{"name":"Division Pharmacoepidemiology and Clinical Pharmacology Utrecht University  Utrecht the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hieronymus J.","family":"Derijks","sequence":"additional","affiliation":[{"name":"Department of Pharmacy Jeroen Bosch Hospital  Den Bosch the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rien H. L.","family":"Hoge","sequence":"additional","affiliation":[{"name":"Department of Pharmacy Wilhelmina Hospital  Assen the Netherlands"},{"name":"Gaston Medical  Eindhoven the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9707-5740","authenticated-orcid":false,"given":"Joanna E.","family":"Klopotowska","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics Amsterdam UMC University of Amsterdam  Amsterdam the Netherlands"},{"name":"Amsterdam Public Health Institute  Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatma","family":"Karapinar\u2010Carkit","sequence":"additional","affiliation":[{"name":"Department of Clinical Pharmacy &amp; Toxicology Maastricht University Medical Center+  Maastricht the Netherlands"},{"name":"Department of Clinical Pharmacy, CARIM, Cardiovascular Research Institute Maastricht Maastricht University  Maastricht the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patricia M. 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