Seeing the whole picture: integrated pre-surgery reports with PreOptique

Area of Science:

• Health Informatics
• Medical Data Integration
• Clinical Decision Support

Background:

• Healthcare data is fragmented across non-interoperable systems.
• Accessing timely and complete patient information is a significant challenge for clinicians.
• Inefficient data retrieval hinders effective patient care and clinical decision-making.

Purpose of the Study:

• To develop and evaluate PreOptique, a hybrid system for integrated patient health record access.
• To demonstrate the application of ontology-based data access (OBDA) in a real-world healthcare setting.
• To assess the usability and effectiveness of the system in improving data retrieval for clinical operations.

Main Methods:

• Implemented PreOptique, a hybrid semantic and text-based system using OBDA via the Optique platform.
• Utilized text analysis techniques to extract vital signs and clinical findings from unstructured patient documents.
• Deployed the system in a large Norwegian hospital and conducted a usability study with target users.

Main Results:

• PreOptique successfully integrated disparate structured databases without requiring replacement of existing systems.
• Text analysis effectively extracted crucial patient findings from unstructured clinical texts.
• The system achieved a high System Usability Scale (SUS) score of 86.0, with users noting its simplicity and data integration capabilities.

Conclusions:

• OBDA technology and text analysis can effectively integrate diverse patient data sources for clinical support.
• PreOptique provides a usable and efficient solution for medical personnel to access patient data promptly.
• The system demonstrates the potential to streamline access to critical clinical information, enhancing patient care.