Co-founder
More than twenty years helping payers and providers align business value to clinical value, and building large-scale platforms to make it work.
Led value-based care, population health, and quality businesses, and found their structural limit: the measures, and the measurement system around them. Went inside NCQA to fix it, setting and leading its vision for digital quality. Co-founded CoEfficient to deliver the learning health system at scale.
Co-founder
More than twenty years taking healthcare knowledge-driven systems from academia into real-world use at institutions including Mayo Clinic.
Co-editor of HL7’s FHIR Clinical Practice Guidelines implementation guide, HL7’s standard for computable clinical guidelines, and founding lead of the COVID-19 Digital Guideline Working Group. Leads hands-on builds of decision support, care pathway, and quality measurement systems in live clinical practice.
Reid Kiser, Bradley Ryan, Rob Reynolds, Matthew Burton · October 2026
Digital quality has made real progress, but most of it has moved paper measures into digital formats. Far less has changed about what gets measured, or how directly measurement supports care. This paper takes stock of where the field is and lays out the next phase: clinically meaningful, computable measures, tied more closely to guidelines, care delivery, and payment. The standards now exist. The remaining work is making clinical goals, reasoning, and exceptions explicit, so one shared definition can drive both the bedside recommendation and the measure.
Matthew M. Burton, Sivaram Arabandi, Davide Sottara · Independent discussion draft
AI’s biggest contribution to clinical care may come before any clinical decision is made: turning guidelines into logic that runs the same way every time and shows its evidence. That work used to take years and rare expertise. We know; we did a lot of it. This paper, written for guideline publishers, shows how AI can speed it up without giving up that rigor. The bigger payoff is outcomes-based payment: once clinical value computes at scale, every party can run the same measures, see the same evidence, and pay on it.
Brad Ryan, MD · Co-founder and CEO, CoEfficient Health
Contact
We’re early, and working with a small group of co-development partners. Tell us what you’re working on, and we’ll be in touch.
Prefer email? Write to info@coefficienthealth.com.