Peterson Health Technology Institute (PHTI)

Looking forward to joining Digital Health New York at their upcoming Summit for a fireside chat with Bunny Ellerin. In addition, Lindsey Schapiro and I will host a dedicated session on the topic of performance based contracts to discuss how companies and purchasers can optimize their contracts for better outcomes: https://lnkd.in/gDXwwV_p RSVP for DHNY Summit here: https://lnkd.in/gyZtnCd3

Looking forward to joining Digital Health New York at their upcoming Summit for a fireside chat with Bunny Ellerin. In addition, Lindsey Schapiro and I will host a dedicated session on the topic of performance based contracts to discuss how companies and purchasers can optimize their contracts for better outcomes: https://lnkd.in/gDXwwV_p RSVP for DHNY Summit here: https://lnkd.in/gyZtnCd3

Clinical AI has the potential to dramatically improve care and lower spending, but the current payment models are standing in the way of reaching that potential.    As PHTI Executive Director Caroline Pearson, explains in Medical Economics, existing payment models for autonomous clinical AI need an entirely new payment model–adjustments to the current system won’t cut it. Getting this right is crucial and requires a reconsideration of how we pay for health technology.    Listen to the full conversation with Todd Shryock and access our research; links in comment.  #DigitalHealth #HealthTech #ClinicalAI 

Performance-based contracting creates real accountability for vendors and purchasers alike. When payment is tied to measurable outcomes, vendors are incentivized to deliver results. This helps employers, health systems, and health plans feel confident that their investments are meeting the targets that matter most. That's exactly what PHTI's performance-based contracting toolkits are designed to support—giving employee benefits managers like Darcy Sementi the tools to structure contracts that reward real performance. Explore the toolkits: https://lnkd.in/eCbeEZXm #EmployerBenefits #DigitalHealth #BenefitsStrategy

Finding a therapist can mean waiting weeks—or not finding one at all. Millions of Americans cannot access traditional mental health care, driving rapid growth in online therapy and mental health apps. But do they work? The Peterson Health Technology Institute (PHTI) evaluated virtual solutions for depression and anxiety and found that digital tools can deliver clinically meaningful symptom reduction, comparable to traditional therapy, and without the wait. Read PHTI’s recommendations for employers, health plans, and innovators to help more patients benefit from these solutions; link in the first comment below. #DigitalHealth #MentalHealth

As AI changes the way Americans receive care, the payment models that enable it to scale must change too.  At PHTI's third AI workshop, senior healthcare leaders identified three principles for how AI payment should be designed, to ensure clinical AI improves health outcomes, expands access, and lowers costs. Read the full report; link in first comment below. #DigitalHealth #HealthTech #ClinicalAI 

As PHTI Executive Director Caroline Pearson explains on KFF's Business of Health podcast with Chip Kahn, technology alone cannot address our affordability crisis. It is a structural problem: every actor in healthcare is responding to incentives that reward raising prices over creating efficiency. Technology, like new AI tools, has the potential to shift our spending trajectory, but only if industry and policy leaders are willing to change those underlying incentives, enact the right oversight, and align payment models with improving outcomes.     That challenge is most consequential in clinical care, where AI could expand access to high-quality care while lowering costs, if payment evolves alongside it. To hear more, listen to Caroline's full conversation: https://hubs.la/Q04q5wBV0 #DigitalHealth #AffordableHealthcare

AI is fundamentally different than previous health technologies. Over the next few years, AI will be able to diagnose, treat, and manage chronic diseases—with little to no direct human intervention.   This presents a once-in-a-generation opportunity to redesign healthcare delivery and fundamentally change the underlying economics of care. If we get it right, we can expand access to high-quality care while lowering costs. But that future won’t happen under today’s reimbursement models. Existing payment approaches either reward more activity—driving up spending with increased adoption—or reward outcomes, which may be insufficient to incentivize high-value clinical AI adoption at scale. To explore this challenge, Peterson Health Technology Institute (PHTI) convened senior leaders from across healthcare, technology, and policy to discuss how payment models need to evolve as AI moves from assisting clinicians to autonomously delivering aspects of care.   The following takeaways emerged: 1️⃣ Applying today’s payment options to clinical AI will both inflate costs under models that reward activity and hamper adoption under models that incentivize outcomes.   2️⃣ Payment models for AI should lower the cost of care, be outcome-based, and adapt as the evidence base grows and clinicians’ roles evolve.  3️⃣ Autonomous clinical AI – unlike assistive AI – requires new payment models, not incremental modifications to existing ones.   The decisions we make about how to pay for clinical AI now will shape not only its adoption, but whether the technology ultimately delivers on the promise of improving outcomes, expanding access to care, and lowering healthcare costs. Read the full workshop summary: https://lnkd.in/gDFYF9Ts  

Clinical AI has the potential to dramatically expand access to care, improve patient outcomes, and lower healthcare costs.   But only if we rethink how to pay for it.   Today's payment models prevent the adoption of high-value clinical AI and risk increasing costs where adoption occurs. These models are also insufficient to support increasingly autonomous care delivery.   At our third AI workshop, we convened senior leaders across healthcare, technology, and policy to explore how to pay for AI-enabled clinical care. One clear takeaway: none of today's payment models get this right. Read the insights in our latest report; link in first comment below. #DigitalHealth #HealthTech #ClinicalAI