Conceptual representation of patient data bases

Area of Science:

• Medical Informatics
• Computer Science in Medicine
• Clinical Decision Support

Background:

• Managing extensive patient data is complex.
• Integrating diverse medical findings (signs, symptoms, labs, imaging) is challenging.
• Existing systems may lack intelligent interpretation capabilities.

Purpose of the Study:

• To design a computer-based assistant for patient databases.
• To develop a conceptual model for representing comprehensive patient information.
• To explore features for intelligent consultation and decision support.

Main Methods:

• Described a conceptual model for data representation.
• Discussed a query language for data retrieval.
• Outlined the generation of interpretive reports and summary findings.

Main Results:

• A model for a computer-based assistant was conceptualized.
• The system can represent signs, symptoms, lab data, and radiological/morphological findings.
• Key components like query language and reporting were detailed.

Conclusions:

• Computer-based assistants can significantly aid in managing patient data.
• Intelligent consultation features are crucial for effective decision support.
• Such systems play a vital role in both human and automated decision-making environments.