Quality Measurement Group, Inc. is a developer-led AI-native interoperability shop building quality, compliance, and analytics solutions for regulated healthcare data environments. We help teams define practical pilots, automate data-solvency workflows, and operate lightweight exchange layers across public health, EMS, acute care, post-acute care, oral health, and research contexts.
"Focus on what matters—Dedication to 'what is important' rather than just 'what is urgent.'" —Stephen R. Covey
Company Focus
Quality and records management system extensions
Public health incident & case management interoperability
Provenance of training EMR records in healthcare AI
Serving the full patient story to decision makers
Leadership Profile
David Balkcom, MPH
Principal Solutions Architect and senior Health IT developer at Quality Measurement Group, David works on:
1| Delivering data interoperability 2| Implementing digital workers 3| Tuning AI-ML inference models & eval pipelines 4| Leveraging graph to automate data-analytic procedures
As an engineer, David translates subject-matter expertise into domain-specific harnessing for digital AI workers to deliver deterministic responses for clinical and business analytics.
How We Deliver
Management Consulting + Managed Services
Quality Measurement Group operates a management consulting practice and delivers lightweight managed services. When you define the lane, we prove the pilot, and then maintain the exchange layer reliability after the stack hardens. This services delivery model pairs experienced SMEs with multiple compute and inference solution portfolios for custom procurement needs.
Frame the target operating model, map partner data flows, align executive sponsors, and define a measurable pilot sequence before production commitments are locked in.
AssessMapPrioritizePilot
Current-state workflow review, stakeholder alignment, and information-blocking analysis
Enterprise architecture and semantic mapping across EMS, EMR, post acute, and public health environments
GTM-ready pilot scoping with governance, risk controls, and measurable adoption targets
Provide an operated interoperability layer for clients who need ongoing connector management, standards QA, observability, and quality-loop execution without staffing a large internal platform team on day one.
LaunchMonitorGovernImprove
Managed connector lifecycle, monitoring, release control, and incident coordination
Contract-tested data quality controls, semantic QA, and audit-ready evidence capture
Continuous optimization for analytics accelerators, reporting workflows, and partner throughput
Management consulting sets the direction. Managed services keeps the interoperability engine reliable after go-live.