Jeroen S de Bruin1, Klaus-Peter Adlassnig2, Harald Leitich3, Andrea Rappelsberger4. 1. Institute eHealth, Department of Applied Computer Sciences, FH Joanneum University of Applied Sciences GmbH, Graz, Austria. 2. Medexter Healthcare GmbH, Vienna, Austria. 3. Department of Obstetrics and Gynecology, Vienna General Hospital and Medical University of Vienna, Austria. 4. Section for Artificial Intelligence and Decision Support, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria.
Abstract
BACKGROUND: Evidence-based clinical guidelines have a major positive effect on the physician's decision-making process. Computer-executable clinical guidelines allow for automated guideline marshalling during a clinical diagnostic process, thus improving the decision-making process. OBJECTIVES: Implementation of a digital clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized workflow, thereby separating business logic from medical knowledge and decision-making. METHODS: We used the Business Process Model and Notation language system Activiti for business logic and workflow modeling. Medical decision-making was performed by an Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software. RESULTS: We succeeded in creating an electronic clinical workflow for the prevention of mother-to-child transmission of hepatitis B, where institution-specific medical decision-making processes could be adapted without modifying the workflow business logic. CONCLUSION: Separation of business logic and medical decision-making results in more easily reusable electronic clinical workflows.
BACKGROUND: Evidence-based clinical guidelines have a major positive effect on the physician's decision-making process. Computer-executable clinical guidelines allow for automated guideline marshalling during a clinical diagnostic process, thus improving the decision-making process. OBJECTIVES: Implementation of a digital clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized workflow, thereby separating business logic from medical knowledge and decision-making. METHODS: We used the Business Process Model and Notation language system Activiti for business logic and workflow modeling. Medical decision-making was performed by an Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software. RESULTS: We succeeded in creating an electronic clinical workflow for the prevention of mother-to-child transmission of hepatitis B, where institution-specific medical decision-making processes could be adapted without modifying the workflow business logic. CONCLUSION: Separation of business logic and medical decision-making results in more easily reusable electronic clinical workflows.
Entities:
Keywords:
Automatic Data Processing; Clinical; Decision Support Systems; Guideline Adherence; Hepatitis B; Hospital; Obstetrics and Gynecology Department