Clinicians talk
normally. The
platform writes the note.
ACE turns 90 minutes of charting into 5 minutes of review. Field clinicians record audio during a visit; the platform transcribes it, extracts the structured medical fields with Claude, and writes the result back into the Axxess EHR.
Clinicians spend more
time charting than
delivering care.
Home-health visit documentation is a regulatory bottleneck. PTs, OTs, and Nurses spend their evenings catching up on charting — vitals, M1850/M1860 functional scores, structured therapy data — fed by hand into Axxess, the EHR that runs the back end of the industry.
Record. Extract.
Write back.
Review.
A field-deployed mobile app plus a server-side AI pipeline that records, transcribes, extracts structured medical fields, and writes them into the EHR's actual form sections — not a transcript file, not a notes blob.
What changes
for the clinician.
- Visit ends, clinician opens laptop in the driveway.
- 30–60 minutes typing into Axxess form sections.
- Manual transcription of vitals, pain scores, exercises performed.
- Care plan goals re-derived from scratch each visit.
- Documentation backlog bleeds into evenings and weekends.
- "Did I capture the right field?" — compliance anxiety as the default state.
- Tap record. Deliver care. Tap stop.
- Audio uploads via TUS while the clinician walks back to the truck.
- Structured note ready in the dashboard within minutes.
- M1850/M1860 → care plan goals, auto-generated.
- Click approve — note posts to Axxess in the right form sections.
- Compliance built into the schema, not chased after the fact.
By the
numbers.
Audio in.
Note out.
The pipeline is purpose-built for clinical extraction: audio in, profession-specific structured fields out, posted into the EHR through the only path it actually supports. Every layer falls under MACE — KyberCore's invisible operating system.
I haven't typed a visit note in a month. I record what I do, the platform writes it up the way Axxess wants it, I read it, I sign it. The drive home is the drive home again.
What it delivers,
in practice.
Healthcare hasn't seen the AI productivity gains other industries are getting because the regulatory surface is real and the existing tools weren't built for it.
Generic AI dictation tools produce text. The work in clinical documentation isn't producing text — it's producing structured fields that map into a specific form, in a specific EHR, for a specific profession.
ACE is what AI-assisted documentation looks like when you take that surface seriously. Profession-specific schemas. EHR write-back through the only path the vendor actually supports. An audit trail built into the data model rather than bolted on after.
The same pattern that makes ACE work — schema-aware extraction, connector resilience, structured output validated end-to-end — is the foundation for MACE, the operating system underneath every KyberCore product going forward.
Run a home-health
operation?
30-minute demo with a real visit recording, transcribed, extracted, and written into a sandbox Axxess. No deck — just the product.