Type 2 Diabetes & Cardiometabolic Care: Wearables, AI & GLP-1s
The rise of wearables, GLP-1s, and AI is reshaping treatment for Type 2 diabetes, weight loss, and metabolic disease. We have more information and resources than ever to treat these conditions, but population health outcomes continue to lag. At the same time, rising healthcare costs and point-solution fatigue
The rise of wearables, GLP-1s, and AI is reshaping treatment for Type 2 diabetes, weight loss, and metabolic disease. We have more information and resources than ever to treat these conditions, but population health outcomes continue to lag.
At the same time, rising healthcare costs and point-solution fatigue continue to challenge patients, employers, health plans, and other organizations responsible for paying for care.
During this webinar, leaders from across the healthcare industry will explore how cardiometabolic care is evolving, what approaches are delivering meaningful clinical and financial outcomes, and how employers, health plans, and providers should think about treatment strategy going forward.
Expect us to cover:
1. How Cardiometabolic Care Is Evolving
- How have GLP-1s, wearables, AI, and continuous monitoring changed the way we think about Type 2 diabetes and cardiometabolic disease?
- What have we learned about what works and what does not?
- What does a durable, long-term approach to cardiometabolic care look like?
2. Cost, Coverage and GLP-1 Strategy
- Why has cardiometabolic health become such a major cost priority for employers and health plans?
- How should organizations think about the long-term role and coverage of GLP-1s?
- What clinical and financial outcomes should be considered when evaluating whether these treatments are delivering value?
3. Measuring Outcomes and ROI
- Which clinical, financial, and engagement metrics matter most when evaluating cardiometabolic programs?
- How long should employers and health plans expect it to take before meaningful ROI becomes visible?
- How should leaders distinguish between short-term results and durable outcomes?
4. Payment Models and Accountability
- What payment models work best for cardiometabolic care?
- Where do performance guarantees and risk-sharing arrangements make sense?
- What questions should employers and health plans ask vendors before adopting a new solution?
5. Keeping Patients and Members Engaged
- What makes patients stay engaged in treatment over the long term?
- How should technology support the patient experience without adding complexity?
- What have clinicians and benefits leaders learned about designing programs around real patient needs?
More Webinars
View all →
Is It Finally the Moment for Alternative Plan Design?
Employers are under growing pressure to control healthcare costs while improving access, outcomes, and the member experience. That has renewed interest in
Verifying AI in Medicine: Is Healthcare AI Actually Ready for Deployment?
Is AI ready for real-world clinical care? Dr. Zak Kohane and Protege’s Engy Ziedan debate what it takes to safely trust AI in diagnosis and treatment, from benchmark performance and clinical evidence to whether we’re holding AI to a higher standard than humans.