L&M Consulting GroupInteroperability
HL7 debugging and remediation
Triage, mapping consistency, validation, and ways to reduce interface noise.
Insights
Notes on interoperability and responsible AI.
Short guidance on interface work, FHIR, data quality, and AI adoption.
Featured notes
Interoperability
FHIR mapping and profile-driven transforms
Build repeatable source-to-FHIR pipelines that hold up through production change.
Applied AI
AI-ready data quality workflows
Define checks that catch data problems before they reach downstream analytics and AI systems.
People and responsible AI
Responsible AI starts with current use
Inventory current use, set rules for information and decisions, involve employees, and put policy into daily practice.
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