Smooth integration of decision support into an existing electronic patient record
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Updating a protocol-based decision-support system's knowledge base: a breast cancer case study
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
Domain experts tailoring interaction to users - an evaluation study
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Sharable appropriateness criteria in GLIF3 using standards and the knowledge-data ontology mapper
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
An ontology of cancer therapies supporting interoperability and data consistency in EPRs
Computers in Biology and Medicine
| Hi-index | 0.00 |
Clinical protocols can improve the quality of care if implemented in Decision Support Systems (DSS) that are used in clinical practice. For optimal user acceptance, they must use data from the existing Electronic Patient Records (EPR) and enforce only small changes in the care process and minimal extra effort for data entry. In this paper we describe how we handle the challenge of mapping a breast cancer treatment protocol encoded in Asbru to a legacy EPR which has been used by oncologists at the point of care for years. We identified different levels of integration effort ranging from readily available data in the EPR to abstractions which can only be performed by domain experts. By involving the author of the protocol in the implementation process, we were able to design a system which promises to improve the daily routine at the places of application.