Insights on digital health, medical software, patient experience, and healthcare automation. Explore technology-driven solutions that improve care delivery, strengthen operations, and enhance clinical outcomes for modern healthcare organizations.
Your lab feed passes testing. Once production volume rises, results stop appearing in the EHR, yet the sender still reports successful delivery. The connection is open, messages are moving, and clinicians are asking why the patient chart is incomplete. HL7 …
Read More
A small note template change can break coding accuracy while clinicians are still saving time on documentation. That split is why ambient AI for healthcare shouldn't be judged as a voice product. It's a governed clinical workflow that touches the …
Read More
The popular advice is simple: improve the model, connect it to the EHR, and let a clinician review the output. That sequence sounds sensible, but it misses the failure point that matters most. A healthtech product can generate an accurate …
Read More
A lot of teams are in the same spot right now. They've connected an HL7 feed, landed data in a warehouse or lakehouse, built a few dashboards, and proved that data can move. Then a hospital pilot gets close, security …
Read More
The popular advice is to start with the model. In healthcare, that's usually backwards. A prediction can score well in a test environment and still fail at the moment a bed manager needs it, because the underlying data is late, …
Read More