Introduction and Objective: Chronic diseases like diabetes strain healthcare systems among Saudi MEDGULF insured population. Traditional clinical guidelines and advanced AI-driven methods often exist in silos, hindering comprehensive management. This study introduces an Integrated Clinical-AI Stratification Framework that unifies evidence-based clinical protocols with AI models to enhance early detection, individualized risk stratification, and personalized interventions for diabetic patients.Methods: Claims data, including structured and unstructured patient information, was used to identify key clinical features aligned with international guidelines. AI models predicted disease onset, progression, and complications, placing patients into low-, moderate-, high-, and complications-risk groups. Clinical teams validated refined stratifications, ensuring fidelity to evidence-based practice and seamless integration with AI-generated insights.Results: Preliminary validation on retrospective datasets revealed improved precision in identifying high-risk individuals, earlier detection of complications, and better alignment of interventions with clinical standards. Healthcare professionals noted greater efficiency in care coordination, highlighting the framework’s capacity for dynamic adaptation as new data is incorporated. By bridging clinical guidelines and AI outputs, the framework fosters consistent, targeted care across diverse patient populations.Conclusion: The Integrated Clinical-AI Stratification Framework demonstrates a viable approach to unifying standard clinical guidelines with cutting-edge AI to enhance diabetes care for MEDGULF-insured patients. Future large-scale studies will examine real-world efficacy, focusing on reducing hospitalization rates, improving glycemic control, and optimizing healthcare resource allocation. This pioneering model shows potential to revolutionize diabetes management through patient-centric and proactive intervention.
M. Ghosheh: Employee; iO Health. A. Kheir: Employee; MEDGULF Insurance & Reinsurance company. M.A. Mohamed: Employee; MEDGULF Insurance & Reinsurance Company. W. Afzal: Employee; MEDGULF Insurance & Reinsurance Company. G. Ghosheh: Employee; iO Health.
Source link
Leave a Reply