{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T23:18:04Z","timestamp":1769123884882,"version":"3.49.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T00:00:00Z","timestamp":1690243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T00:00:00Z","timestamp":1690243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Funding was received from the Digital Health CRC for this project"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["npj Digit. Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-,<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-,<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), and dosing errors (32.3% pre- vs. 14% post-,<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-,<jats:italic>p<\/jats:italic>\u2009=\u20090.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors.<\/jats:p>","DOI":"10.1038\/s41746-023-00877-w","type":"journal-article","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T18:03:16Z","timestamp":1690308196000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["The impact of transition to a digital hospital on medication errors (TIME study)"],"prefix":"10.1038","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1778-5006","authenticated-orcid":false,"given":"Teyl","family":"Engstrom","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9090-3515","authenticated-orcid":false,"given":"Elizabeth","family":"McCourt","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6216-8728","authenticated-orcid":false,"given":"Martin","family":"Canning","sequence":"additional","affiliation":[]},{"given":"Katharine","family":"Dekker","sequence":"additional","affiliation":[]},{"given":"Panteha","family":"Voussoughi","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Bennett","sequence":"additional","affiliation":[]},{"given":"Angela","family":"North","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0413-5434","authenticated-orcid":false,"given":"Jason D.","family":"Pole","sequence":"additional","affiliation":[]},{"given":"Peter J.","family":"Donovan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2475-9989","authenticated-orcid":false,"given":"Clair","family":"Sullivan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,25]]},"reference":[{"key":"877_CR1","unstructured":"World Health Organization. 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Assoc. 28, 167\u2013176 (2021).","journal-title":"J. Am. Med. Inf. Assoc."},{"key":"877_CR5","doi-asserted-by":"publisher","first-page":"104829","DOI":"10.1016\/j.ijmedinf.2022.104829","volume":"165","author":"E McCourt","year":"2022","unstructured":"McCourt, E. et al. The effect of Computerised Physician Order Entry on prescribing errors: an interrupted time-series study at a secondary referral hospital in Australia. Int. J. Med. Inform. 165, 104829 (2022).","journal-title":"Int. J. Med. Inform."},{"key":"877_CR6","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1071\/AH17255","volume":"42","author":"R Eden","year":"2018","unstructured":"Eden, R., Burton-Jones, A., Scott, I., Staib, A. & Sullivan, C. Effects of eHealth on hospital practice: synthesis of the current literature. Aust. Health Rev. 42, 568\u2013578 (2018).","journal-title":"Aust. 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