Real talk about healthcare data — for developers, data scientists, and medical coders who work with it every day.
Washington state hospitals say CMS's WISeR Model is delaying Medicare prior authorizations two to four times longer than the manual process it was supposed to replace.
Medigap premiums leapt in 2026. Beneficiaries cannot switch. An investigation into the underwriting gauntlet that locks seniors into plans they can no longer afford.
How the prior authorization algorithm became the most powerful physician in American healthcare — and why it has never once examined a patient.
Victor Shelley examines the ethics and ambition behind synthetic patient data: what we make when we create artificial medical lives, and what those records can and cannot mean.
Clinical NLP needs more than text volume. It needs realistic notes, labels, temporal structure, documentation noise, and data rights that let teams build without PHI risk.
The FY2026 ICD-10-CM update changed depression coding, SDOH reporting, eating disorder specificity, post-COVID coding, and payer edit behavior.
Their HL7 ADT feed worked perfectly in testing. It broke on day one of go-live with a dual-admission patient that never appeared in test messages. Here's what EHR integration testing actually requires.
An RCM vendor launched a claim scrubbing engine with incomplete test data — and discovered their modifier logic was wrong for anesthesia claims on day one. Here's what RCM test data actually needs.
It's Friday afternoon and you need synthetic patient data by Monday. Here's an honest comparison of 5 options — including what Synthea actually takes to configure before it produces a usable record.
A coding instructor realized her students were passing module exams but failing externships. Here's what medical coding practice data actually needs to prepare coders for real charts.
Built your integration against STU3 because the sandbox was STU3 — then production required R4 and your Patient resource parser broke. Here's what changed, what the federal mandates require, and how to test both.
Six weeks of de-identification work, then an IRB flags re-identification risk from ZIP codes and rare diagnoses. Here's what HIPAA Safe Harbor actually requires — and why many teams move to synthetic data instead.
IRB approval, DUAs, BAAs — and then the license prohibits commercial use anyway. A clear framework for when synthetic patient data is the right call, and when you truly need the real thing.
Sourcing healthcare data for ML is brutal. Here's what actually makes a dataset usable — ICD-10 patterns, relational schema, commercial licensing — and the common mistakes that sink projects.
Healthcare AI teams are blocked not by technical limitations but by data access. The IRB wall, HIPAA restrictions, and DUA bottlenecks — and how synthetic data changes the equation.
The gap between medical coding certification and the real complexity of clinical documentation — and why practice cases that look like real charts change everything.
EHR interoperability promised patients sovereignty over their own medical stories. What we built instead was a system of authorized captivity. By Emmeline Voss.
Why realistic synthetic patient data isn't just a convenience — it's the difference between software that looks right in demos and software that holds up when real clinicians use it.