Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds.
Arden Syntax
Chronic Wound
Clinical Decision Support
Petri net
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
16 Jun 2020
16 Jun 2020
Historique:
entrez:
24
6
2020
pubmed:
24
6
2020
medline:
25
8
2020
Statut:
ppublish
Résumé
The access to data in healthcare is an enabler for the implementation of clinical decision support systems (CDSS) in practice. The usage of CDSS aims to be of efficient assistance to healthcare providers. The aim of the BMBF project "PosiThera", is to support the involved professions in the treatment process of chronic wounds. In this study we implemented the formalized knowledge of chronic wound diagnosis into two different knowledge base approaches, the HL7 Arden Syntax and a Petri net approach. The motivating factor behind our study was to use both approaches for the implementation of the projects knowledge base and to compare the results. We implemented the formalized knowledge successfully in both approaches. The results of our comparison showed similarities and differences of the Arden Syntax and the Petri net approach, which might support the evolution of both approaches in the future.
Identifiants
pubmed: 32570455
pii: SHTI200232
doi: 10.3233/SHTI200232
doi:
Types de publication
Journal Article
Langues
eng