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Exploring User Interfaces for Search and Content Based Clinical Decision Support in Electronic Health Record Systems
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

Both electronic health records (EHR) and clinical decision support (CDS) are each important attributions to clinicans and clinical workflow. Elec- tronic health records provide clinicans with crucial patient information at the point of care, while clinical decision support gives well-founded and well- documented clinical recommendations at the point of decision making. This thesis explores how patient information from EHRs could be utilized as a basis for better and more effective decision support. Additionally, two meth- ods of accessing decision support recommendations are created and studied. One is based on search, with known elements from common general and medical search interfaces. The other performs automatic ranking of relevant recommendations based on patient information from a popular norwegian EHR system. To find out how these two prototypes should integrate and utilize informa- tion from an EHR system, an case-based experiment was conducted. This is a qualitative measure of user feedback, with elements from quantitative research. User satisfaction were measured by using methods such as user testing, interviews and surveys. User feedback suggest that clinical workflow have much to gain from integrat- ing EHR with CDS, as well as computerizing and making clinical national recommendations available in an EHR context. It is also clear that elements like search and automation are important features in an integrated system, and further research of decision support may include an integration of these elements.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2013. , 121 p.
URN: urn:nbn:no:ntnu:diva-23164Local ID: ntnudaim:8349OAI: diva2:658751
Available from: 2013-10-22 Created: 2013-10-22 Last updated: 2013-10-22Bibliographically approved

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