Towards Usable openEHR-aware Clinical Decision Support: A User-centered Design Approach
Pariya Hajar Kashfi

TL;DR
This thesis explores how to design usable openEHR-based clinical decision support systems using a user-centered approach, highlighting current gaps in practice and proposing improvements for better integration and usability.
Contribution
It provides an analysis of the state of the art in HCI and EHR integration with CDS, and demonstrates the application of a user-centered design process to openEHR clinical applications.
Findings
HCI and CDS integration is more theoretical than practical.
OpenEHR offers benefits but has development shortcomings.
User, task, and domain characteristics are crucial for UCD application.
Abstract
This thesis addresses the question of how usable openEHR-aware clinical decision support can be designed and developed in order to improve the quality of health care. To answer this research question, several sub-questions were identified and investigated. This included analyzing state of the art in two different aspects of design and development and evaluation of Clinical Decision Support (CDS) and also investigating application of a customized user-centered design (UCD) process in developing openEHR-based clinical applications. Analysis of state of the art in interplay between Human-Computer Interaction (HCI) and CDS and also the intersection between CDS and Electronic Health Records (EHR) revealed that consideration of both HCI and integration of CDS into EHR is more appreciated in theory than in practice and there is still a long way to go before reaching an acceptable level in…
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Taxonomy
TopicsElectronic Health Records Systems · Biomedical Text Mining and Ontologies · Semantic Web and Ontologies
