Understanding needs and requirements in applications for identifying clinically relevant similarities between patients with liver related diseases
2009 (English)In: HEALTHINF 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS / [ed] Azevedo, L; Londral, AR, SETUBAL, Portugal: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION ESQUERDO , 2009, 187-192 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
SETUBAL, Portugal: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION ESQUERDO , 2009. 187-192 p.
Clinical decision support system, similar patient cases, terminology, structure of documentation
Human Computer Interaction
IdentifiersURN: urn:nbn:se:kth:diva-55332ISI: 000266586700030ScopusID: 2-s2.0-77954659917ISBN: 978-989-8111-63-0OAI: oai:DiVA.org:kth-55332DiVA: diva2:471457
2nd International Conference on Health Informatics (HEALTHINF 2009), Oporto, PORTUGAL, JAN 14-17, 2009
QC 201201232012-01-022012-01-022012-01-23Bibliographically approved