{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T02:32:28Z","timestamp":1777948348255,"version":"3.51.4"},"reference-count":37,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Br J Clin Pharmacol"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Incorrect antibiotic dosing remains common, particularly in patients with renal impairment or obesity, contributing to treatment failure and antimicrobial resistance. Although clinical decision support systems (CDSS) are increasingly used, few offer real\u2010time, patient\u2010specific dosing recommendations based on a curated antibiotic dosing database integrated directly into prescribing workflows, limiting the optimization of antimicrobial therapy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We implemented a mandatory CDSS for restricted antibiotics at a 1100\u2010bed tertiary hospital. The system automatically integrated renal function and body weight from the electronic medical record, along with prescriber\u2010selected dialysis modality, to generate predefined, guideline\u2010based dosing options tailored to individual clinical scenarios. Prescribers were required to either accept a recommended dose or provide justification for overriding it. We retrospectively analysed 81\u2009164 prescriptions after implementation to assess CDSS\u2010adherence and compared 41\u2009550 pre\u2010 and 33\u2009994 post\u2010implementation prescriptions to evaluate dosing accuracy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      CDSS\u2010adherence increased from 62.2% to 92.6% during the post\u2010implementation period, while the incorrect antibiotic dosing rate declined from 3.7% to 2.1% (P\u2009&lt;\u20090.001). Among non\u2010adherent prescriptions, 72.4% of manually entered doses were concordant with CDSS recommendations and were associated with a lower incorrect dosing rate than discordant overrides (0.5%\n                      <jats:italic>vs<\/jats:italic>\n                      . 9.7%; P\u2009&lt;\u20090.001). Key system refinements, including support for inhaled colistin and agent\u2010specific loading dose guidance, further improved usability and CDSS\u2010adherence.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>By integrating real\u2010time, patient\u2010specific parameters into the prescribing process and offering guideline\u2010aligned recommendations, this CDSS significantly improved prescriber adherence and reduced incorrect antibiotic dosing. The system shows strong potential to improve medication safety and support antimicrobial stewardship.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/bcp.70397","type":"journal-article","created":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T03:37:10Z","timestamp":1764992230000},"page":"1374-1384","source":"Crossref","is-referenced-by-count":0,"title":["Reducing incorrect antibiotic dosing and enhancing prescriber adherence through a real\u2010time, patient\u2010specific clinical decision support system: A post\u2010implementation evaluation"],"prefix":"10.1002","volume":"92","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9082-9674","authenticated-orcid":false,"given":"Shin\u2010Yi","family":"Liang","sequence":"first","affiliation":[{"name":"Department of Pharmacy E\u2010Da Hospital, I\u2010Shou University  Kaohsiung 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