{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T03:36:27Z","timestamp":1790998587466,"version":"4.1.0"},"reference-count":20,"publisher":"CSIRO Publishing","issue":"6","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/doi.org\/10.1071\/journalslicense"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Electronic medical record (EMR) implementations can disrupt clinical workflows and impact medication safety. This study evaluated the effect of a two-phase EMR roll-out on medication safety events within the Women\u2019s and Children\u2019s Division of a large tertiary public hospital.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a retrospective real-world difference-in-differences analysis using negative binomial regression to accommodate overdispersion in incident counts. Two activation phases (30 June 2021 and 1 January 2024) were compared against non-activated areas. Data spanning January 2020 to February 2024 were extracted from the Safety Learning System. Natural language processing (spaCy) identified both direct mentions and semantically similar references to \u2018electronic medical record,\u2019 \u2018EMR\u2019 and \u2018electronic prescribing\u2019 for supplementary sensitivity analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Following each activation, minor (Incident Severity Rating 3) and near miss (Incident Severity Rating 4) incidents showed a short-lived rise \u2013 peaking within 1\u00a0month of go-live \u2013 then returned to pre-implementation levels. No statistically significant long-term changes in overall medication safety event trends were observed (all P\u00a0&amp;gt;\u00a00.75). Natural language processing-detected EMR mentions increased immediately post-activation, but did not persist.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Phased EMR implementation was not associated with sustained alterations in medication safety event rates. Transient near miss increases likely reflect heightened reporting awareness rather than true error surges. Future evaluations should broaden text-mining filters, incorporate manual content review and use mixed-methods designs to ensure comprehensive detection of EMR-related safety signals and to capture clinician workflow impacts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1071\/ah24344","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T23:26:46Z","timestamp":1762990006000},"source":"Crossref","is-referenced-by-count":2,"title":["Navigating medication safety with electronic medical records: insights from a dual-phase implementation in paediatric, neonatal and maternity care"],"prefix":"10.1071","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9775-0603","authenticated-orcid":true,"given":"Dylan A.","family":"Mordaunt","sequence":"first","affiliation":[{"name":"ASouthern Adelaide Local Health Network, Bedford Park, SA, Australia."},{"name":"BFaculty of Health, Victoria University of Wellington, New Zealand."},{"name":"CCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nichola","family":"Johnson","sequence":"additional","affiliation":[{"name":"ASouthern Adelaide Local Health Network, Bedford Park, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Santosh","family":"Verghese","sequence":"additional","affiliation":[{"name":"ASouthern Adelaide Local Health Network, Bedford Park, SA, Australia."},{"name":"DDigital Health South Australia, Department for Health and Wellbeing, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8829-1921","authenticated-orcid":true,"given":"Rhys","family":"Parker","sequence":"additional","affiliation":[{"name":"DDigital Health South Australia, Department for Health and Wellbeing, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katy","family":"Gibb","sequence":"additional","affiliation":[{"name":"ASouthern Adelaide Local Health Network, Bedford Park, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lyle J.","family":"Palmer","sequence":"additional","affiliation":[{"name":"ESchool of Public Health, The University of Adelaide, Adelaide, SA, Australia."},{"name":"FAustralian Institute for Machine Learning, The University of Adelaide, Adelaide, SA, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"67","published-online":{"date-parts":[[2025,11,13]]},"reference":[{"key":"2025121504444133200_R1"},{"key":"2025121504444133200_R2"},{"issue":"3","key":"2025121504444133200_R3","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3233\/JRS-140623","article-title":"Medication safety strategies in hospitals--a systematic review.","volume":"26","author":"Acheampong","year":"2014","journal-title":"Int J Risk Saf Med"},{"issue":"2","key":"2025121504444133200_R4","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1136\/adc.2007.116442","article-title":"Minimising medication errors in children.","volume":"94","author":"Wong","year":"2009","journal-title":"Arch Dis Child"},{"issue":"1","key":"2025121504444133200_R5","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1111\/jmwh.12358","article-title":"Medication safety during pregnancy: improving evidence-based practice.","volume":"61","author":"Sinclair","year":"2016","journal-title":"J Midwifery Womens Health"},{"issue":"3","key":"2025121504444133200_R6","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1177\/2042098616642231","article-title":"Medication safety in neonatal care: a review of medication errors among neonates.","volume":"7","author":"Krzyzaniak","year":"2016","journal-title":"Ther Adv Drug Saf"},{"issue":"5","key":"2025121504444133200_R7","first-page":"672","article-title":"Electronic Health Records, Electronic Prescribing and Medication Errors: A Systematic Review of Literature, 2000-2014.","volume":"5","author":"Qureshi","year":"2014","journal-title":"J Adv Med Med Res"},{"key":"2025121504444133200_R8"},{"key":"2025121504444133200_R9"},{"issue":"4","key":"2025121504444133200_R10","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1136\/qshc.2006.019497","article-title":"The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study.","volume":"16","author":"Franklin","year":"2007","journal-title":"BMJ Qual Saf"},{"key":"2025121504444133200_R11"},{"key":"2025121504444133200_R12"},{"key":"2025121504444133200_R13"},{"key":"2025121504444133200_R14"},{"issue":"1","key":"2025121504444133200_R15","first-page":"411","article-title":"spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing.","volume":"7","author":"Honnibal","year":"2017","journal-title":"To Appear"},{"key":"2025121504444133200_R16"},{"key":"2025121504444133200_R17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2020.104281","article-title":"Successfully implementing a national electronic health record: a rapid umbrella review.","volume":"144","author":"Fennelly","year":"2020","journal-title":"Int J Med Inform"},{"issue":"1","key":"2025121504444133200_R18","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-022-01801-0","article-title":"Electronic medical record implementation in a large healthcare system from a leadership perspective.","volume":"22","author":"Arabi","year":"2022","journal-title":"BMC Med Inform Decis Mak"},{"issue":"11","key":"2025121504444133200_R19","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1111\/j.1651-2227.2008.00982.x","article-title":"Medication errors in a neonatal intensive care unit. Influence of observation on the error rate.","volume":"97","author":"Campino","year":"2008","journal-title":"Acta Paediatr"},{"issue":"1","key":"2025121504444133200_R20","doi-asserted-by":"publisher","DOI":"10.1186\/s13643-020-01510-7","article-title":"The impact of health information technology on prescribing errors in hospitals: a systematic review and behaviour change technique analysis.","volume":"9","author":"Devin","year":"2020","journal-title":"Syst Rev"}],"container-title":["Australian Health Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/connectsci.au\/ah\/article-pdf\/doi\/10.1071\/AH24344\/1771035\/ah24344.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/connectsci.au\/ah\/article-pdf\/doi\/10.1071\/AH24344\/1771035\/ah24344.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T09:44:46Z","timestamp":1765791886000},"score":1,"resource":{"primary":{"URL":"https:\/\/connectsci.au\/ah\/article\/49\/6\/AH24344\/262306\/Navigating-medication-safety-with-electronic"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,13]]},"references-count":20,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,12,4]]}},"URL":"https:\/\/doi.org\/10.1071\/ah24344","relation":{},"ISSN":["0156-5788","1449-8944"],"issn-type":[{"value":"0156-5788","type":"print"},{"value":"1449-8944","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,13]]},"article-number":"AH24344"}}