Towards the Improvement of Clinical Guidelines Based on Real World Data

Research output: Contribution to journalResearch articleContributedpeer-review

Abstract

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).

Details

Original languageEnglish
Pages (from-to)480-484
Number of pages5
JournalStudies in health technology and informatics
Volume2022
Issue number294
Publication statusPublished - 25 May 2022
Peer-reviewedYes

External IDs

Scopus 85131107735
unpaywall 10.3233/shti220505
ORCID /0000-0002-9888-8460/work/142254093
ORCID /0000-0003-0154-2867/work/143072732
ORCID /0000-0002-5577-7760/work/153152096

Keywords

Keywords

  • Business Process Model and Notation, OMOP CDM, computerized clinical guidelines, interoperability