Authors:
Christina Engström
1
and
Kristina Groth
2
Affiliations:
1
Karolinska Institute, Sweden
;
2
Royal Institute of Technology (KTH) and Karolinska Institute (KI), Sweden
Keyword(s):
Clinical decision support system, Similar patient cases, Terminology, Structure of documentation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Support for Clinical Decision-Making
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
We present a field study at a surgical clinic of what data that is relevant in order to identify clinically relevant similarities. We have observed discussion meetings in which different medical specialities decide how to treat patients with severe diseases in the liver. Our study also includes interviews with medical personnel, and examination of two data sources, the electronic patient records and the local quality liver registry used within the clinic. Our findings include a model of data that can be useful when searching for clinically relevant similarities between patient cases, as well as requirements on the functionality of an application that can identify clinically relevant similarities.