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Electronic Prescribing by Medical Students: Descriptive Data and Inferred Clinical Impact.
Chin, Paul; Pairman, Lorna; Quayle, John.
Affiliation
  • Chin P; Department of Medicine, University of Otago, Christchurch, New Zealand.
  • Pairman L; Department of Medicine, University of Otago, Christchurch, New Zealand.
  • Quayle J; Business Intelligence, Data and Analytics, Health NZ, Christchurch, New Zealand.
Stud Health Technol Inform ; 316: 1517-1518, 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39176492
ABSTRACT
We analysed data from the electronic medication chart at tertiary healthcare facilities during Nov 2020-Nov 2023 following a reconfiguration of prescribing permissions allowing medical student inpatient prescribing. A total of 262 students prescribed for 2205 patients. The 17,769 prescriptions were spread throughout the 7-day week and were mainly created in the evening (1600-2100) and within 4 hours of patient entry into hospital. The supervising doctors approved 11,434 (64%) prescriptions, which are inferred to have saved 203 hours of doctor time. Allowing medical students to prescribe facilitates clinical workflow. The impact on student education and prescribing errors requires further work.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students, Medical / Electronic Prescribing Limits: Humans Language: En Journal: Stud Health Technol Inform / Stud. health technol. inform. / Studies in health technology and informatics (Online) Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Students, Medical / Electronic Prescribing Limits: Humans Language: En Journal: Stud Health Technol Inform / Stud. health technol. inform. / Studies in health technology and informatics (Online) Year: 2024 Document type: Article