Blog
Ideas on moving healthcare data
Practical writing on FHIR-native architecture, quality measurement, and getting value from clinical data without moving PHI out of your environment.
Data in Motion vs. Data at Rest: Why Timing Decides Quality
Most healthcare data is processed at rest — batch jobs over warehouses, overnight ETL, quarterly registry runs. Evaluating data in motion, as events arrive, is what turns a care gap into a closed gap.
Read →Move the Question, Not the Data
Healthcare interoperability keeps copying patient records from system to system. The better default: send the question to the data and return only the answer. The principle behind HDIM.
Read →AI Solutioning in Healthcare Delivery
How specification-first AI execution changes delivery economics and reliability.
Read →FHIR-Native vs. Retrofitted: Why Architecture Matters
Why FHIR-native architecture — not retrofitted interfaces — shapes implementation speed, data ownership, and long-term scalability.
Read →HEDIS Measures Explained: The 5 Metrics That Define Quality Care
A plain-English guide to the core HEDIS measures (CDC, CBP, COL, BCS, CIS), why they matter, and how automation supports care-gap closure workflows.
Read →Risk Stratification: Focus Resources Where They Matter
The 80/20 of healthcare cost, and how risk stratification helps focus care-management resources on the patients who need them most.
Read →Mental Health is the Missing Piece in Quality Measures
How integrated mental-health screening connects to quality measures and Star ratings — and why so much depression goes undiagnosed.
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