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dc.rights.licenseopenen_US
dc.contributor.authorVAN DOORN, A.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSALVO, Francesco
IDREF: 221043470
dc.contributor.authorROSELLINI, P.
dc.contributor.authorBIJL, G.
dc.contributor.authorELSEVIERS, M.
dc.contributor.authorCOOREVITS, P.
dc.contributor.authorVANDER STICHELE, R.
dc.date.accessioned2022-08-22T12:48:28Z
dc.date.available2022-08-22T12:48:28Z
dc.date.issued2022-06
dc.date.conference2022-06-25
dc.identifier.issn0031-6970en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140548
dc.descriptionMeeting abstracten_US
dc.description.abstractEnIntroduction: 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.
dc.language.isoENen_US
dc.title.en2PRESCRIBE AS INTERNATIONAL AND DIGITAL CASE-BASED PHARMACOTHERAPY EDUCATION AND RESEARCH PLATFORM
dc.typeArticle de revueen_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.journalEuropean Journal of Clinical Pharmacologyen_US
bordeaux.pageS50-S50en_US
bordeaux.volume78en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issueSUPPL 1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.conference.title15th Congress of the European Association for Clinical Pharmacology and Therapeutics (EACPT)
bordeaux.countrygr
bordeaux.teamAHEAD_BPHen_US
bordeaux.conference.cityAthènes
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03757221
hal.version1
hal.date.transferred2022-08-22T12:51:25Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European%20Journal%20of%20Clinical%20Pharmacology&rft.date=2022-06&rft.volume=78&rft.issue=SUPPL%201&rft.spage=S50-S50&rft.epage=S50-S50&rft.eissn=0031-6970&rft.issn=0031-6970&rft.au=VAN%20DOORN,%20A.&SALVO,%20Francesco&ROSELLINI,%20P.&BIJL,%20G.&ELSEVIERS,%20M.&rft.genre=article


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