Temporal Query Answering for the Scheduling of Multiple Clinical Guidelines.

Area of Science:

• Medical Informatics
• Computer Science

Background:

• Clinical guidelines are essential in medical practice, often incorporating temporal constraints.
• Current computerized clinical guidelines (CIGs) primarily support single-patient execution.
• Managing concurrent CIGs across multiple patients presents a significant challenge in healthcare settings.

Purpose of the Study:

• To develop a novel temporal framework for managing concurrent computerized clinical guidelines.
• To introduce user-friendly temporal facilities for complex healthcare scheduling.
• To focus on the query answering capabilities of this new framework.

Main Methods:

• Development of a new temporal framework with dedicated temporal facilities.
• Definition of a query language for temporal constraint management.
• Implementation of temporal reasoning mechanisms.
• Experimental evaluation of the query answering facility.

Main Results:

• The proposed framework facilitates the management of concurrent CIGs.
• The query answering facility demonstrates effective temporal reasoning capabilities.
• Experimental evaluation validates the framework's performance.

Conclusions:

• The developed temporal framework addresses the challenge of concurrent CIG execution.
• The query answering facility offers a robust solution for temporal reasoning in multi-guideline scenarios.
• This work contributes to improved healthcare scheduling and guideline management.