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Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal
Enea Parimbelli1, Szymon Wilk2, Stephen Kingwell3
1MET Research Group, Telfer School of Management, University of Ottawa, Ottawa, Canada.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|March 1, 2019
Summary
This study introduces a novel ontology to formalize shared decision-making (SDM) within team-based care. This structured approach aims to improve patient management and support clinical workflows for better healthcare outcomes.
Area of Science:
- Health Informatics
- Clinical Decision Support
- Ontology Engineering
Background:
- Shared decision-making (SDM) adoption in patient care remains limited despite its benefits.
- Integrating SDM into current healthcare practices requires structured approaches.
- Existing frameworks lack formalization for effective implementation in team-based care.
Purpose of the Study:
- To formalize shared decision-making (SDM) by developing a novel ontology.
- To integrate SDM concepts within team-based care delivery and workflow analysis.
- To establish a foundation for a decision support system for SDM.
Main Methods:
- Development of a novel shared decision-making ontology.
- Formal definition of key concepts and relations within the SDM domain.
- Instantiation of the ontology for a complex patient management scenario (metastatic spinal cord compression treatment).
Main Results:
- A comprehensive ontology for shared decision-making was created.
- The ontology formally defines SDM concepts and their interrelations.
- The ontology's applicability was demonstrated through a specific clinical case.
Conclusions:
- The proposed ontology provides a formal structure for shared decision-making.
- This formalization is a crucial step towards developing decision support systems for SDM.
- The ontology supports the formalization and enhancement of patient management processes.
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