A software tool to analyze clinical workflows from direct observations.
Observational data of clinical processes need to be managed in a convenient way, so that process information is reliable, valid and viable for further analysis. However, existing tools for allocating observations fail in systematic data collection of specific workflow recordings. We present a software tool which was developed to facilitate the analysis of clinical process observations. The tool was successfully used in the project OntoHealth, to build, store and analyze observations of diabetes routine consultations.
Research Division for eHealth and Telemedicine, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria.
Marco
M
Schweitzer
STI - Semantic Technology Institute, University of Innsbruck, Innsbruck, Austria.
Nelia
N
Lasierra
Research Division for eHealth and Telemedicine, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria.
Alexander
A
Hoerbst
D001317:Austria; D019091:Critical Pathways / Q000458:organization & administration*; D057225:Data Mining / Q000379:methods; D057286:Electronic Health Records / Q000458:organization & administration*; D017146:Models, Organizational; D017064:Process Assessment, Health Care / Q000379:methods / Q000458:organization & administration*; D012984:Software; D018875:Vocabulary, Controlled; D057188:Workflow