Finding similar cases within a hospital information system.

Area of Science:

• Medical Informatics
• Clinical Knowledge Management

Background:

• Theoretical medical knowledge predominantly stems from literature.
• Vast amounts of patient data from clinical practice are often lost and not incorporated into medical knowledge.
• Locally treated patients may differ in context (time, space, age) from those in existing literature.

Purpose of the Study:

• To explore methods for utilizing individual patient knowledge to benefit others.
• To investigate ways to preserve and leverage patient data within hospital information systems.
• To demonstrate the potential of case analysis for medical knowledge elaboration.

Main Methods:

• Utilizing detailed patient information stored in hospital information systems over several years.
• Applying case analysis techniques, specifically Case-based Reasoning (CBR), also known as the "similar case approach".
• Showcasing an example decision support system, Archimed, developed in Geneva.

Main Results:

• Hospital databases contain rich, precise patient information suitable for case analysis.
• Case-based Reasoning offers a viable solution for extracting and applying knowledge from patient data.
• Decision support systems like Archimed can facilitate the "similar case approach".

Conclusions:

• There is a significant untapped resource in patient data residing in hospital information systems.
• Case-based Reasoning presents a powerful methodology for preserving and utilizing clinical knowledge.
• Implementing systems that support case analysis can enhance medical knowledge elaboration and patient care.