Patients Decision Aid System Based on FHIR Profiles

Area of Science:

• Health Informatics
• Clinical Decision Support Systems
• Patient Empowerment

Background:

• Growing patient involvement in clinical decision-making.
• Increased patient access to health information and awareness of medical errors.
• Challenges patients face in interpreting medical data for treatment decisions without direct physician support.

Purpose of the Study:

• To implement and evaluate a patient decision aid system.
• To enhance patient understanding of laboratory test results and treatment options.
• To support patients in making informed decisions during the diagnostic and treatment processes.

Main Methods:

• Development of a rule-based patient decision aid system.
• Integration of a Fast Healthcare Interoperability Resources (FHIR) engine for semantic interoperability.
• Organization of the knowledge base as a graph structure with extensive modelling of test components, inference rules, and text blocks.

Main Results:

• The system automatically analyzes and interprets laboratory results.
• It recommends additional tests for precise diagnostics and generates reports in natural language.
• The system is structured as lightly coupled services, demonstrating a deep understanding of implementation for semantically interoperable clinical decision support systems.

Conclusions:

• Patient decision aid systems are crucial for clinical data management, patient empowerment, and protection.
• The developed system empowers patients to make informed decisions throughout diagnostics and treatment.
• Semantic interoperability is key for effective clinical decision support system implementation.