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.
|State||Published - 2020|
|Event||The AMIA 2020 Virtual Annual Symposium - |
Duration: 16 Nov 2020 → …
|Conference||The AMIA 2020 Virtual Annual Symposium|
|Period||16/11/20 → …|
Bibliographical noteFunding 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.
© 2020 Elsevier Inc.
- Computer-interpretable guidelines
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics