Abstract
Patients with chronic multimorbidity require physicians to develop complex management plans that address potential interactions among the patient’s morbidities and medications. We developed GoCom, a goal-oriented methodology for providing decision-support for multimorbidity patients which detects and mitigates interactions among recommendations stemming from multiple clinical guidelines, consults medical ontologies and relies on patient-information standards. We present GoCom’s conceptual goal-model and reasoning patterns that aggregate and visualize non-conflicted mitigated therapies as option-sets that meet the multimorbidity goals.
Original language | English |
---|---|
State | Published - 2020 |
Event | The AMIA 2020 Virtual Annual Symposium - Duration: 16 Nov 2020 → … |
Conference
Conference | The AMIA 2020 Virtual Annual Symposium |
---|---|
Period | 16/11/20 → … |
Bibliographical note
Funding Information:The research was funded by grant 906/16 from Israel Science Foundation. We thank Prof. Wojtek Michalowski and the anonymous reviewers for providing comments that helped improve our paper.
Publisher Copyright:
© 2020 Elsevier Inc.
Keywords
- Comorbidity
- Computer-interpretable guidelines
- Decision-support
- Multimorbidity
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics