Separating Business Logic from Medical Knowledge in Digital Clinical Workflows Using Business Process Model and...

Area of Science:

• Health Informatics
• Clinical Decision Support Systems
• Public Health

Background:

• Evidence-based clinical guidelines significantly improve physician decision-making.
• Computer-executable guidelines enable automated support during clinical diagnosis.

Purpose of the Study:

• To implement a digital clinical guideline for preventing hepatitis B transmission from mother to child.
• To create a computerized workflow separating business logic from medical knowledge and decision-making.

Main Methods:

• Utilized Business Process Model and Notation (BPMN) with Activiti for workflow modeling.
• Employed an Arden-Syntax-based medical rule engine (ARDENSUITE) for medical decision-making.

Main Results:

• Successfully developed an electronic clinical workflow for hepatitis B prevention.
• Enabled adaptation of institution-specific medical decision-making without altering workflow business logic.

Conclusions:

• Separating business logic from medical decision-making leads to more reusable electronic clinical workflows.
• This approach enhances the adaptability and maintainability of digital health guidelines.