{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:25:22Z","timestamp":1787066722979,"version":"build-2736575974"},"reference-count":42,"publisher":"American Academy of Pediatrics (AAP)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,1]]},"abstract":"<jats:sec>\n                    <jats:title\/>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>OBJECTIVE<\/jats:title>\n                    <jats:p>High-risk medicine (HRM) prescribing errors in pediatrics are a safety concern. Technology-related errors (TREs) occur when the design of computerized provider order entry (CPOE) facilitates errors. We aimed to measure the proportion of HRM errors that were TREs and the HRM TRE rate at 2 pediatric hospitals, describe TRE types, and examine their underlying mechanisms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>We identified 7014 HRM orders from retrospective medical record review of 18\u2009951 medication orders for 2192 pediatric inpatients at 2 hospitals with the same CPOE in 2020. HRM prescribing errors were classified by clinical error type (eg,\u00a0wrong dose, route) and potential harm. TREs were identified and their mechanisms (how they occurred\u2014eg,\u00a0selection error, editing error) classified. The rate was TREs\/100 HRM orders. CI was estimated from Poisson models for rates and Wilson method for proportions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Of the HRM orders, 20% (n\u2009=\u20091404) had at least 1 error. Of 1589 errors, 23.8% (n\u2009=\u2009378) were TREs, with a rate of 5.39\/100 HRM orders (95% CI, 4.86\u20135.96), and 32.5% (95% CI, 28.0\u201337.4) were potentially serious. TREs most frequently resulted in duplicate drug errors (47.4% of TREs; 95% CI, 42.4\u201352.4) and wrong-dose errors (20.9% of TREs; 95% CI, 17.1\u201325.3). The medications most frequently associated with TREs were insulin, anticoagulants, and narcotics. The most frequent TRE mechanism was \u201cworkflow\u201d issues.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>One in 4 HRM prescribing errors was technology related, one-third were potentially serious, and almost half were duplicate drug errors. Understanding HRM TREs can inform CPOE optimization to mitigate these errors and improve safety.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1542\/peds.2024-070043","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T15:33:36Z","timestamp":1768923216000},"source":"Crossref","is-referenced-by-count":2,"title":["High-Risk Medicines and Technology-Related Prescribing Errors in 2 Pediatric Hospitals"],"prefix":"10.1542","volume":"157","author":[{"given":"Alison","family":"Merchant","sequence":"first","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erin","family":"Fitzpatrick","sequence":"additional","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johanna I.","family":"Westbrook","sequence":"additional","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melissa T.","family":"Baysari","sequence":"additional","affiliation":[{"name":"2Digital Health Human Factors Group, Sydney School of Nursing, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bayzidur","family":"Rahman","sequence":"additional","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Li","sequence":"additional","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geoffrey R.","family":"Ambler","sequence":"additional","affiliation":[{"name":"3Department of Endocrinology and Diabetes, Sydney Children\u2019s Hospitals Network (Westmead Campus), Sydney, New South Wales, Australia"},{"name":"4Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Magdalena Z.","family":"Raban","sequence":"additional","affiliation":[{"name":"1Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"417","published-online":{"date-parts":[[2026,1,20]]},"reference":[{"issue":"3","key":"2026033105175752700_r1","first-page":"CD006208","article-title":"Interventions for reducing medication errors in children in hospital","volume":"2015","author":"Maaskant","year":"2015","journal-title":"Cochrane Database Syst Rev."},{"issue":"9","key":"2026033105175752700_r2","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1001\/archpedi.155.9.1002","article-title":"How can information technology improve patient safety and reduce medication errors in children\u2019s health care?","volume":"155","author":"Kaushal","year":"2001","journal-title":"Arch Pediatr Adolesc Med."},{"issue":"11","key":"2026033105175752700_r3","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1007\/s40264-019-00850-1","article-title":"Prevalence of medication errors among paediatric inpatients: systematic review and meta-analysis","volume":"42","author":"Gates","year":"2019","journal-title":"Drug Saf."},{"issue":"8","key":"2026033105175752700_r4","doi-asserted-by":"crossref","first-page":"e028680","DOI":"10.1136\/bmjopen-2018-028680","article-title":"What causes prescribing errors in children? 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