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.

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