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Using Therapeutic Circles to Visualize Guideline-Based Therapeutic Recommendations for Patients with Multiple Chronic
Brigitte Séroussi1, Alexandre Galopin2, Mouhssin Gaouar1
1Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, Paris, France; INSERM, U1142, LIMICS, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS (UMR_S 1142), Bobigny, France.
Insights
We developed GO-DSS, a clinical decision support system (CDSS), to reconcile multiple clinical practice guidelines (CPGs) for patients with co-occurring conditions. The system demonstrated high usability in managing complex medication recommendations.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Ontology Engineering
Background:
- Clinical decision support systems (CDSSs) can improve adherence to clinical practice guidelines (CPGs).
- Existing CPGs often focus on single diseases, lacking support for managing interactions in patients with multiple conditions.
- Managing polypharmacy and drug interactions is a significant challenge in complex patient care.
Purpose of the Study:
- To develop and evaluate GO-DSS, a novel CDSS for reconciling CPGs in patients with comorbid conditions.
- To address the limitations of single-disease CPGs by providing integrated recommendations.
- To assess the usability of GO-DSS and its innovative "therapeutic circles" graphical interface.
Main Methods:
- Developed GO-DSS, a CDSS utilizing ontological reasoning for CPG reconciliation.
- Applied GO-DSS to the concurrent management of hypertension, type 2 diabetes, and dyslipidemia.
- Designed an innovative graphical interface displaying medication recommendations as "therapeutic circles".
- Conducted a qualitative evaluation using the think-aloud method with 12 users on simulated patient cases.
Main Results:
- GO-DSS successfully implemented ontological reasoning for CPG reconciliation.
- The "therapeutic circles" interface visually represented complex medication recommendations.
- The system achieved a high mean usability rating of 90.7% based on the System Usability Scale.
- Users found the system highly usable for managing multiple conditions.
Conclusions:
- GO-DSS offers a promising approach to reconcile conflicting CPG recommendations for patients with multiple chronic conditions.
- The ontological reasoning and "therapeutic circles" interface enhance usability and support for complex medication management.
- The high usability ratings indicate the potential of GO-DSS in clinical practice for improving patient care and safety.
Abstract:
Clinical decision support systems (CDSSs) have proven to potentially improve the compliance of physician decisions with clinical practice guidelines (CPGs). However, actual patients suffer from multiple conditions and CPGs that are usually single-disease-focused provide disease-specific recommendations with no support on how to manage adverse interactions between the recommended treatments. We have developed GO-DSS, a CDSS that implements an ontological reasoning process to perform CPG reconciliation. GO-DSS is applied to the concurrent management of hypertension, type 2 diabetes, and dyslipidemia. We proposed an innovative graphical interface to display medication recommendations as "therapeutic circles". A qualitative evaluation of the system and of this graphical layout has been performed on simulated patient cases by a sample of 12 users with various backgrounds (think aloud method). The resulting usability of the system is highly appreciated with a mean rating of 90.7% according to the standardized System Usability Scale.
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