Speak-PIM, Towards a Framework for the Automatic Detection of Potentially Inappropriate Prescriptions...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France.
Potentially inappropriate medications (PIMs) have adverse health consequences, particularly in elderly patients. Various explicit criteria have been developed to detect PIMs. However, it is difficult to apply these criteria without the help of an electronic decision support tool. Programming these t...
| Published in: | Studies in Health Technology & Informatics Vol. 294; pp. 460 - 465 |
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| Main Authors: | , , , |
| Format: | computer program proceedings research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157268469&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157268469 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2022 vid: 294 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 157268469 157268469 157268469 10.3233/SHTI220501 157268469 ppf: 460 ppct: 5 formats: tig: atl: Speak-PIM, Towards a Framework for the Automatic Detection of Potentially Inappropriate Prescriptions...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France. aug: au: MOUAZER, Abdelmalek SEDKI, Karima TSOPRA, Rosy LAMY, Jean-Baptiste affil: Université Sorbonne Paris Nord, LIMICS, INSERM, F-93000, Bobigny, France. sug: subj: Inappropriate Prescribing Prevention and Control Decision Support Systems, Clinical Software Design Automation Congresses and Conferences France France Human Clinical Information Systems Semantics Nomenclature Funding Source ab: Potentially inappropriate medications (PIMs) have adverse health consequences, particularly in elderly patients. Various explicit criteria have been developed to detect PIMs. However, it is difficult to apply these criteria without the help of an electronic decision support tool. Programming these tools can be very complex. Indeed, for computer scientists it is difficult to understand medical issues and for clinicians it is difficult to program in a computer programming language. In this work we present Speak-PIM, a framework for formalizing the PIM’s rules. Speak-PIM is based on a very simple semantics which is suitable for the declaration of PIMs without embarking on all the complexity of description logic or computer languages. It aims to offer an efficient collaboration between the computer scientists and clinicians. pubtype: Academic Journal doctype: computer program proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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