Prescribing

Activating pharmacists to reduce medication related problems: The ACTMed stepped wedge randomised controlled trial

ACTMed is a new service designed to proactively find and address medicine problems before they cause harm. Participating pharmacists will use a specially designed software program (Actionable medication safety dashboard) that works within health IT systems to detect medicines problems. PAT052

The National Antimicrobial Prescribing Survey

The aim of this project is to utilise the Patron dataset to apply data science methodologies to enable the automation aspects of antimicrobial guideline compliance and appropriateness antibiotic assessment. PAT061

Building and evaluating machine learning models to classify appropriateness of antimicrobial prescriptions

This project aims to utilise the Patron dataset to explore the feasibility of a passive GP NAPS and develop algorithms using machine learning to automate compliance and appropriateness antibiotic assessment. PAT063

Antibiotic prescribing excellence in primary care - APEX PC

The aim of this project is to implement an antimicrobial stewardship (AMS) program into general practice to provide timely audit and reporting to GPs using automation, along with education webinars and information resources to support best practice antibiotic prescribing and quality improvement. PAT1028

Analysis of antibiotic prescribing by general practitioners for dental conditions in Australia

This project will assess the types of dental conditions that present in general practice as well as the types and regimen of antibiotics prescribed for these conditions. Using Patron data, we will analyse the types of dental conditions that present; the antibiotics that are prescribed; and the guideline compliance of these antibiotics. We will also assess the proportion of dental conditions that did not result in an antibiotic prescription. PAT1060

The use of Electronic Health Record Monitoring for the Pharmacovigilance of Medicinal Cannabis.

The aim of this project is to quantify the reporting of medicinal cannabis prescribing and identify associations between patient characteristics, conditions, adverse events, and service utilisation as found in Patron general practice EMR records from 1 January 2015 to 31 December 2023. PAT033/1109