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Enhancing Chronic Care Management with AI: Our Collaborative Risk Management Approach

Chronic diseases are a significant challenge in the United States, affecting approximately 60% of adults, with 40% living with two or more chronic conditions.
These conditions—such as heart disease, diabetes, and chronic respiratory illnesses—not only diminish quality of life but also account for the majority of healthcare costs.
Effective Chronic Care Management (CCM) is essential to address these challenges by providing continuous support, personalized care plans, and proactive interventions.

At SolidPractice Technologies, we are committed to empowering healthcare providers with innovative solutions that enhance patient care.
By integrating a Large Language Model (LLM) into our CCM support module, we aim to profoundly improve how clinical staff collaborate with patients for personalized and better care.
This advanced tool assists in summarizing the prognosis, suggesting thriving health goals for each individual, identifying potential barriers, and crafting creative interventions to overcome them.

This document outlines our risk management approach for implementing the LLM in CCM. We begin with an analysis of current limitations in traditional CCM and the benefits of integrating AI/LLM solutions. Following this, we present a thorough risk analysis to identify potential challenges associated with validity, reliability, robustness, fairness, intelligibility, safety, security, and privacy. We then detail our risk mitigation strategies and discuss our governance framework that ensures robust policies and controls are in place.
Through this structured approach, we aim to foster a shared responsibility with medical providers and care teams, ensuring that patient safety and care quality remain our top priorities.

The full document is available at: Enhancing Chronic Care Management with AI: Our Collaborative Risk Management Approach.pdf

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