Study the actual workflow
Review authorized historical claims and staff handoffs. Establish a baseline and identify recurring exceptions.
HOW IT WORKS
The engineering around the AI is the advantage.
Source-linked evidence, explicit logic and human decision gates turn an AI suggestion into an accountable workflow.
See the validation → ILLUSTRATIVE WORKFLOW 01—04
01 / SOURCEClinical evidenceNotes · orders · performed services
↓
02 / CHECKVersioned rulesEvidence, payer requirements, coding
03 / REVIEWQualified human reviewMissing or uncertain? Hold.
→04 / AUTHORIZED ACTIONA reviewable next stepWithin the practice’s agreed permissions
SOURCE-LINKED HUMAN-CONTROLLED
FROM DISCOVERY TO FEEDBACK01 02 03 04 05 06 07 08
A deliberate path to action.
Normalize source evidence
Connect notes, orders, performed services and claim records with provenance.
Formalize the decision logic
Anchor candidate rules in authoritative sources and effective dates. Version and test accepted logic.
Evaluate unseen cases
Freeze logic before scoring held-out cases. Measure each task, coverage and review burden separately.
Identify the gaps
Check for missing documentation, conflicting evidence, unsupported links and unresolved payer requirements.
Route to qualified review
Hold or stop uncertain decisions. A person resolves the exception before consequential action.
Perform authorized actions
Act only inside the practice’s agreed access and release permissions.
Measure and improve
Observe payer responses and reconciled financial outcomes separately. Retest changes before expanding.
EXPLORE A DECISION GATE
What happens when evidence is missing?
SYNTHETIC EXAMPLE / NO PATIENT DATAA procedure is documented.
A procedure is documented.
The supporting order is missing.
Explore how the review boundary changes as evidence becomes available.
HOLD FOR REVIEW
Request the source evidence.
No automatic release. Qualified staff resolve the gap and confirm the applicable checks.
BOUNDED MODEL USE
Interpretation with explicit constraints.
The evaluated rules-only claim-building path did not send patient data to a language model.
Other document-interpretation components may use models only within approved boundaries. Actual deployment data flows must be reviewed before onboarding. Regression checks, versioned rules and stop conditions apply around the model.
A measured beginningChoose one workflow.
Choose one workflow.
Establish the evidence. Measure the result.
Start with your practice’s real bottleneck and a clearly defined pilot.
Request a workflow assessment →