Towards the Improvement of Clinical Guidelines Based on Real World Data...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France.
Computerized clinical guidelines (CCG) are effective instruments for standardizing, monitoring and optimizing medical treatment processes. Nevertheless, due to barriers in flexibility, transferability and acceptance, the widespread use of CCG in clinical practice is not yet common. To overcome those...
| Publicado en: | Studies in Health Technology & Informatics Vol. 294; pp. 480 - 485 |
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| Autores principales: | , , , , |
| Formato: | algorithm proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157268473&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157268473 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: 157268473 157268473 157268473 10.3233/SHTI220505 157268473 ppf: 480 ppct: 5 formats: tig: atl: Towards the Improvement of Clinical Guidelines Based on Real World Data...32nd Medical Informatics Europe Conference (MIE2022), 27-30 May, 2022, Nice, France. aug: au: HENKE, Elisa REINECKE, Ines ZOCH, Michele SEDLMAYR, Martin BATHELT, Franziska affil: Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany. sug: subj: Computers and Computerization Practice Guidelines Evaluation Quality Improvement Congresses and Conferences France France Information Retrieval Human Information Storage Electronic Health Records Prospective Studies Data Analysis Software Medical Informatics Models, Theoretical ab: Computerized clinical guidelines (CCG) are effective instruments for standardizing, monitoring and optimizing medical treatment processes. Nevertheless, due to barriers in flexibility, transferability and acceptance, the widespread use of CCG in clinical practice is not yet common. To overcome those issues, we present a concept on how to use real world data to evaluate CCG and to recommend improvements. As a first result, we defined an algorithm to extract treatment processes based on the standardized Observational Medical Outcomes Partnership (OMOP) Common Data Model as well as their visualization using the graphical modeling language Business Process Model and Notation (BPMN). pubtype: Academic Journal doctype: algorithm proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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