Articles & Analysis

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Deep-dives, explainers, and honest assessments of healthcare technology. Written for people who want to understand the why, not just the what. No vendor marketing. No surface-level takes.

Published
EHR Fundamentals
Why Every Piece of Clinical Data Has the Same Four-Part Address
Patient → Encounter → Clinical Event → Data Point. This structure is not a design choice — it is forced by medicine, billing law, and 30 years of regulatory pressure. Whether you work in Epic, Cerner, or pure FHIR, this chain is the foundation of everything.
8 min read · EHR · Data Model Read →
Healthcare Policy
The $25.9 Billion Law That Built Modern Healthcare IT
HITECH did not just pay hospitals to buy software. It fundamentally restructured how clinical data is created, stored, and shared — and created the fragmented landscape we still deal with today. Here is what actually happened, sourced from HHS.gov.
12 min read · Policy · History Read →
AI in Healthcare
AI in Healthcare: What’s Actually Working vs. What’s Still Promise
A candid, system-wide assessment. Ambient documentation is real — burnout dropped 13 points across 263 physicians in 30 days. Autonomous diagnosis is not. Here is where the line actually is, backed by peer-reviewed evidence.
15 min read · AI · Strategy · Evidence Read →
Coming Soon
Interoperability
What Interoperability Actually Means (And Why It’s So Hard)
HL7 v2, HL7 v3, FHIR R4, the 21st Century Cures Act, information blocking rules, and why your hospital still faxes records. The full picture of 40 years of effort to make healthcare data portable.
HL7 · FHIR · ONC · Cures Act In progress
Revenue Cycle
How a Clinical Encounter Becomes a Paid Claim
From patient registration to payer deposit. Charge capture, ICD-10 coding, claims submission, adjudication, denial management, and why clinical documentation accuracy has a direct line to hospital financial health.
RCM · ICD-10 · Claims · Billing In progress
EHR Architecture
Chronicles, Clarity, and Caboodle: How Epic Actually Stores Your Data
The FLO → FSD → CSN → EPT chain. Why there is a 24-hour lag in your Clarity reports. What INI master files are. Why every clinical data point has a flowsheet row ID. The internal architecture of the most widely deployed EHR in the U.S.
Epic · Chronicles · ETL · Data Warehouse Planned