Thyra Blog
Ambient listening, note generation, and grounded clinical documentation with AI.
Ambient AI scribes record patient conversations, which means wiretapping law, not just HIPAA, applies. Here is what consent, notice, and opt-out workflows should look like state by state.
A clinical look at RAG-based tools that let clinicians ask natural-language questions across a patient's entire chart, and what separates real longitudinal search from note-search with a chat box.
HTI-1 forces certified EHRs to disclose how predictive AI tools are built, trained, and validated. Here's what it actually requires, and what it doesn't.
AI chart audits scan for HCC coding gaps, unsupported diagnoses, and documentation-to-billing mismatches at a scale manual review cannot match. Here is what they actually catch.
A practical guide for IT admins on what happens to patient audio after ambient AI scribe transcription, including retention windows, model training risk, and the exact contract language to demand.
After-hours EHR work persists when follow-up remains manual after the note is finished. Explore inbox classification, context, and clinician-reviewed responses.
AI safety in healthcare is now a workflow control problem. Here is what healthcare IT leaders should verify in audit logs, approval workflows, and source grounding before deploying an AI EHR.
Not all AI scribes are equal. A maturity model helps clinics evaluate what they are actually buying and what level of trust it deserves.
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