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A clinical decision support tool for improving venous thromboembolism risk assessment and thromboprophylaxis prescribing compliance within an electronic medication management system: a retrospective observational study.
Int J Clin Pharm
January 2025
Pharmacy Department, Cabrini Health, 183 Wattletree Road Malvern, Malvern, VIC, 3144, Australia.
Background: Despite various interventions to improve best-practice venous thromboembolism (VTE) prevention measures within hospitals, compliance remains poor. For health services utilising electronic medication management systems (eMMS), implementation of clinical decision support (CDS) tools could address this gap.
Aim: To evaluate whether local implementation of an integrated electronic alert system linked with a computerised physician order entry (CPOE)-based order set for VTE risk assessment within an eMMS improves the rates of timely VTE risk assessment and guideline-compliant VTE prophylaxis prescribing among hospitalised patients.
Expectations and opinions regarding the implementation of a computerized physician order entry (CPOE) system - a before-and-after survey.
Health Informatics J
December 2024
Heidelberg University, Medical Faculty Heidelberg / Heidelberg University Hospital, Internal Medicine IX - Department of Clinical Pharmacology and Pharmacoepidemiology, Cooperation Unit Clinical Pharmacy, Heidelberg, Germany.
Despite the documented beneficial effects of computerized physician order entry (CPOE) systems and despite numerous incentives for their adoption in various countries around the globe implementation teams encounter unexpected difficulties when launching CPOE systems. This survey aimed at gathering users' opinions on CPOE implementation. Additional factors that can be influenced by CPOE implementation were equally considered, namely workplace satisfaction, interprofessional collaboration, patient safety climate, system usability, and organisational readiness to implement change.
View Article and Find Full Text PDFUsing the Failure Mode and Effect Analysis Tool to Improve the Automatic Stop Order Process.
Glob J Qual Saf Healthc
November 2024
Department of Quality Improvement, King Abdulaziz Medical City, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Introduction: Automatic stop orders (ASOs) in computerized prescription order entry (CPOE) systems predefine the length of treatment. This can improve resource use for select therapies (e.g.
View Article and Find Full Text PDFImplementation of Computerized Prescriber Order Entry Systems: A Review of Impacts, Barriers, and Facilitators.
J Pharm Technol
December 2024
University of Malta, Msida, Malta.
Article Synopsis
- * A thorough literature search identified 48 studies from the past decade that highlighted both the benefits and new errors brought by CPOE systems.
- * Key implementation supports include strong leadership and user training, while obstacles include inadequate training and workflow disruptions; recommendations emphasize user-centered design and stakeholder involvement for effective integration.*
Understanding prescribing errors for system optimisation: the technology-related error mechanism classification.
BMJ Health Care Inform
November 2024
Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Objectives: Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors (TREs) occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of TREs using prescribing error data from two adult hospitals.
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