Goal-based reasoning may be used to support clinical decision making for multimorbidity patients; medical knowledge originating in different computer-interpretable guidelines (CIGs) and from medical ontologies may be matched at the goal level. This matching may be based on CIG metaproperty specifications referring to standard medical ontologies (e.g., as the U.S. Department of Veterans Affairs National Drug File - Reference Terminology) and adhering to standard patient information models (e.g., HL7’s Fast Healthcare Interoperability Resources). To support such knowledge and data integration, we developed a method for specifying metaproperty annotations within PROforma CIGs. We positioned this specification step within an existing method for CIG knowledge elicitation/specification, known as the Consensus method. Because clinicians time is costly, the research question that we evaluated in this study was whether knowledge engineers could successfully use this method to specify clinical practice guideline consensus documents in goal-annotated PROforma terms. The preliminary evaluation with nine information systems students taking an advanced knowledge representation course indicates is encouraging. We discuss the technical and conceptual modeling errors and how they could guide instruction of the goal-oriented CIG modeling.
|Title of host publication||Artificial Intelligence in Medicine|
|Subtitle of host publication||Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Revised Selected Papers|
|Editors||Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic|
|Number of pages||12|
|State||Published - 2019|
|Event||7th Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, KR4HC/ProHealth 2019 and the 1st Workshop on Transparent, Explainable and Affective AI in Medical Systems, TEAAM 2019 held in conjunction with the Artificial Intelligence in Medicine, AIME 2019 - Poznan, Poland|
Duration: 26 Jun 2019 → 29 Jun 2019
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||7th Joint Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, KR4HC/ProHealth 2019 and the 1st Workshop on Transparent, Explainable and Affective AI in Medical Systems, TEAAM 2019 held in conjunction with the Artificial Intelligence in Medicine, AIME 2019|
|Period||26/06/19 → 29/06/19|
Bibliographical noteFunding Information:
Acknowledgement. The research was funded by grant 906/16 from Israel Science Foundation. We would like to thank Dr. Irit Hochberg and Dr. Raviv Allon for their advice regarding the gold standard for the clinical guidelines used in the study.
© Springer Nature Switzerland AG 2019.
- Computer-interpretable guidelines
- Goal modeling
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science (all)