Related Experiment Videos
Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a
Cornelia M Ruland1, Suzanne Bakken
1Center for Shared Decision Making and Nursing Research, Rikshospitalet National University Hospital, Forskningsveien 2b, Oslo NO-0027, Norway. cornelia.ruland@rikshospitalet.no
Journal of Biomedical Informatics
|September 13, 2003
Summary
Patient preferences are crucial for shared decision-making in healthcare. Medical informatics can enhance patient-centered care by developing decision support systems, integrating clinical, decision science, informatics, and organizational knowledge.
Area of Science:
- Medical Informatics
- Health Services Research
- Decision Science
Background:
- Growing emphasis on patient-centered care necessitates incorporating patient preferences into clinical decisions.
- Medical informatics offers tools to improve patient-centered care through decision support systems (DSS).
- Developing effective DSS for patient preferences requires integrating diverse knowledge domains.
Purpose of the Study:
- To present a conceptual model for developing and implementing DSS for shared decision-making.
- To outline eight key components essential for creating effective patient preference DSS.
- To illustrate the model's application using the CHOICE system for rehabilitation patients.
Main Methods:
- Literature review and conceptual model development.
- Integration of knowledge from clinical domains, decision science, medical informatics, and organizational knowledge.
- Case study illustration using the CHOICE decision support system.
Main Results:
- A conceptual model with eight key components for DSS development in shared decision-making.
- Identification of critical factors for integrating patient preferences into clinical workflows.
- Demonstration of the CHOICE system's utility in eliciting and integrating patient preferences.
Conclusions:
- Effective DSS for shared decision-making require a multidisciplinary approach.
- The proposed conceptual model provides a framework for developing and evaluating patient preference DSS.
- Successful implementation hinges on considering clinical, decision science, informatics, and organizational factors.