Supporting shared decision making within the MobiGuide project.

Area of Science:

• * Health Informatics
• * Clinical Decision Support Systems
• * Patient-Centered Care

Background:

• * Clinical practice guidelines often lack specificity for individual patient contexts and evolving situations.
• * Effective communication and shared decision-making are crucial when scientific evidence alone is insufficient.
• * Remote patient management requires tools that adapt to patient-specific needs.

Purpose of the Study:

• * To develop a methodological framework using decision theory for shared decision-making.
• * To create a tool that facilitates patient and caregiver communication by customizing decision models.
• * To enhance patient involvement in tailoring treatment parameters based on personal preferences and context.

Main Methods:

• * Utilized decision theory as a framework for a decision support tool.
• * Developed a process for customizing pre-defined, generic decision models during patient encounters.
• * Involved patients in the parameter customization of their individual decision models.

Main Results:

• * The proposed tool facilitates tailored decision-making by integrating patient preferences and context.
• * In selected cases, this approach leads to more informed patient choices.
• * Potential for improved treatment compliance due to personalized decision models.

Conclusions:

• * Decision theory provides a robust framework for shared decision-making tools in healthcare.
• * Patient involvement in model customization enhances the relevance and applicability of clinical recommendations.
• * This approach holds promise for improving patient outcomes through better-informed and compliant treatment decisions.