Towards the Improvement of Clinical Guidelines Based on Real World Data
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 language | English |
---|---|
Pages (from-to) | 480-484 |
Number of pages | 5 |
Journal | Studies in health technology and informatics |
Volume | 2022 |
Issue number | 294 |
Publication status | Published - 25 May 2022 |
Peer-reviewed | Yes |
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
ASJC Scopus subject areas
Keywords
- Business Process Model and Notation, OMOP CDM, computerized clinical guidelines, interoperability