Clinical Documentation Automation
We reduce that burden without touching clinical judgment. Structured data that already exists gets pulled forward instead of retyped, coding support surfaces what the note already supports, and every generated element requires explicit clinician review before it enters the chart.
What breaks today
Pyjama time
Physicians finish notes at home. That time is invisible in every productivity report and highly visible in every retention conversation.
Data is retyped, not pulled
Vitals, medications, and results already exist as structured data. They get retyped into narrative because the template does not pull them.
Coding happens twice
The physician codes from memory, a coder recodes from the note, and the difference becomes a query that costs both of them time.
Template sprawl
Every department has built its own note templates over a decade. Nobody owns them and none of them agree.
What we build
Scoped during the assessment, then delivered in one to three week increments against your real systems.
Structured data pull-forward
Vitals, medications, allergies, results, and problem list elements populate the note from discrete chart data rather than retyping.
Coding support with evidence
Suggested codes are surfaced alongside the specific documentation supporting them, so the clinician accepts or rejects with context.
Mandatory human-in-the-loop review
Nothing generated enters the chart without explicit clinician attestation. This is a hard architectural constraint, not a setting.
Template consolidation
Existing templates are inventoried, deduplicated, and rebuilt against a shared structure with named clinical owners.
Documentation quality reporting
Query rate, note completion time, and coding variance tracked by service line so improvement is measurable.
What changes
Ranges reflect what comparable engagements have produced. Your baseline is measured during the assessment before anyone commits to a number.
- Note completion time reduced through pull-forward and template consolidation
- Coding query volume reduced by surfacing evidence at the point of documentation
- Template inventory reduced to a maintained, owned set
- After-hours charting time measured rather than assumed
Systems this touches
Integration channel is chosen on verified capability in your environment, not on what is easiest to document.
- Epic
- Oracle Health (Cerner)
- athenahealth
- NextGen
- eClinicalWorks
- FHIR R4
- SMART on FHIR
Not sure this is the right workflow to start with? The $24,997 assessment exists to answer exactly that, and it frequently points somewhere other than where leadership expected.
Common Questions
Do you build ambient scribing?
We integrate ambient documentation vendors and build the workflow around them, but we do not build the speech model ourselves. Our contribution is the integration, the review workflow, and the compliance architecture around it.
Where do you draw the line on clinical decision support?
We build administrative and documentation automation. We do not build systems that make or replace clinical decisions. Anything that touches the note requires explicit clinician review before it is committed.
Talk it through with an engineer.
Tell us what this workflow costs you today and we will tell you honestly whether automating it is worth the engagement.
Start with a conversation, not a proposal.
A 45-minute call with a senior engineer. We will tell you honestly whether automation is the right answer for the workflow you have in mind.