Fun & Games — 3 challenges, 3 badges. How well do you know healthcare?
I'm Eugene Vestel. Through consulting, open-source tools, and the Out of the FHIR podcast, I help teams navigate healthcare interoperability and turn data into outcomes.
Payer Interoperability Analytics & AI Lead at Outcomes · Former NCQA Advisor · 15+ years in healthcare data
Outcomes
Payer Interoperability Analytics & AI Lead
NCQA Advisor
Quality Measurement
b.well Connected Health
Director of Data & Analytics
UPMC Health System
5 Years in Clinical Analytics
Weekly conversations with the people building the future of healthcare interoperability. From HL7 work group chairs to startup founders to CMS policy makers — the stories behind the standards.
Browse all episodeswith Eugene Vestel
HL7 Work Group Insights
The future of SQL on FHIR and ViewDefinitions
Quality Measurement Deep Dive
Why CQL needs a better execution story
Interoperability in Practice
Real-world FHIR implementation lessons
A weekly newsletter on FHIR implementation, quality measurement, healthcare AI, and the tools and standards shaping interoperability. Written for the people doing the actual work.
Trusted by 450+ healthcare data professionals
Open source tools for the FHIR community. Some are production-ready, some are experiments. All are free to use.
Pre-built SQL on FHIR ViewDefinitions for US Core 7.0. Copy-paste ready.
AI-powered FHIR profile advisor. Ask questions, get instant guidance.
Analyze and validate FHIR resources for data quality issues.
AI-assisted data mapping with a visual editor.
Generate CQL from natural language. Early experiment.
All projects are open source
A personal AI health agent stack I'm building openly with the community — no commercial angle. Exploring what happens when patients have the same processing power as provider systems.
A security layer between AI agents and clinical data. Redacts PHI on every read, enforces multi-step human approval for clinical writes (proposal → permission evaluation → HMAC confirmation → immutable audit log), and keeps your health agent interactions HIPAA-compliant.
SMART on FHIR patient records platform. Aggregates data from Epic, Cerner, and other EHRs into a single interface with AI-powered health insights. The data layer OpenClaw works with.
Data quality curation skills for OpenClaw. Detects anomalies, validates FHIR resources, and curates your health record for reliable agent consumption.
Practical resources I've written based on real implementation experience
Three challenges, three badges. Built for the HIMSS 2026 community — because learning FHIR, regulations, and AI agents should actually be fun.
Test your knowledge of FHIR R4, US Core, CQL, and quality measures. Earn Bronze, Silver, or Gold.
Master the regulatory stack from HTI-1 through HTI-6. Earn your Policy Architect badge.
Deploy AI agents against real clinical scenarios — prior auth, quality gaps, guardrails, and more.
I advise healthcare organizations on FHIR implementation strategy, data architecture, quality measurement, and AI readiness. Whether you're starting your FHIR journey or optimizing an existing implementation, I can help you move faster and avoid common pitfalls.
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