2PRESCRIBE AS INTERNATIONAL AND DIGITAL CASE-BASED PHARMACOTHERAPY EDUCATION AND RESEARCH PLATFORM
Language
EN
Article de revue
This item was published in
European Journal of Clinical Pharmacology, 15th Congress of the European Association for Clinical Pharmacology and Therapeutics (EACPT), 2022-06-25, Athènes. 2022-06, vol. 78, n° SUPPL 1, p. S50-S50
English Abstract
Introduction: The international online and case-based pharmacotherapy (FT) education and research platform "2Prescribe" (https://www.pscribe.eu/), based on the WHO-6-Step patient treatment model for rational prescribing ...Read more >
Introduction: The international online and case-based pharmacotherapy (FT) education and research platform "2Prescribe" (https://www.pscribe.eu/), based on the WHO-6-Step patient treatment model for rational prescribing is used in the Netherlands, Belgium, France and Portugal. It’s already offered in three languages (Dutch, English and French). The platform is now provided with more research tools to efficiently map the rational prescribing process (RPP) of more than 42,000 students. To this end, we have developed a data tracking tool (DTT) collecting data to analyse the RPP of groups and individuals. As an additional part of the DTT, we are also developing and testing the web-service tool “Pharmagrader” to (semi-)automatically assess prescriptions using Artificial Intelligence Algorithms (AI/A). Objectives: We present RPP data of 1st year medical students that have been collected and mapped by the DTT and Pharmagrader. Methods: To demonstrate the potential of the DTT in collecting and mapping the RPP data (graphics and tables) in combination with the collected data of Pharmagrader immediately after ending an assignment, we took a 2Prescribe/hypertension case (X). The DTT online data will be visually presented with graphics. In the same time parts of completed prescriptions (open & structured formats) from a group with randomly selected 1st year medical students (n=58) were parsed with Pharmagrader. Data from Pharmagrader will serve as input to feed AI/A’s in the future. Results: A graphical representation of the DTT outcomes with data of the drug choices (number of times chosen by the students) is shown in figure 1. A typical example of the Pharmagrader outcomes will be shown on the congress. Conclusion: This approach of directly mapping students' RPP through this DTT shows that the value of such a research tool in combination with the Pharmagrader web-service is very encouraging. It might be a first step to make adaptive feedback and personalized FT education feasible on the one hand, and on the other hand to enable teachers to assess students' prescriptions more efficiently and reliably (semi-)automatically.Read less <