Sample Audit Report

See the AI Logic in Action

Compare a raw clinical SOAP note to the structured ChiroLogic audit output. Notice how the engine identifies PART criteria and corrects diagnostic coding.

Clinician Input

Raw SOAP Note Text

Patient ID: SUB-100234
Date: March 25, 2026
Visit Type: Routine Maintenance
Payer: Commercial Insurance

S: SUBJECTIVE
Chief Complaint: Patient presents for maintenance care. Reports mild stiffness in thoracic spine after long desk hours. Pain Level: 2/10.

O: OBJECTIVE
Posture: Mild forward head posture observed.
ROM: Slight limitation in thoracic rotation.
Palpation: T3-T5: Segmental dysfunction noted, accompanied by mild tenderness.
Thoracic Paraspinals: Minimal hypertonicity (tone 1/4).
PART Assessment: P and A confirmed.

A: ASSESSMENT
Primary Diagnosis: S39.012A (Strain of muscle, fascia and tendon of lower back, initial encounter) OR M99.02 (Segmental and somatic dysfunction of thoracic region).
Progress: Stable on monthly maintenance plan.

P: PLAN
Treatment: Performed Diversified spinal manipulation to T3-T5 to reduce subluxation.
Chiropractic Economics
Chiropractic Economics
Next Visit: 4 weeks.

ChiroLogic Audit

AI Structured Output

Audit Status: PASS
Ref: #SUB-100234

I. Audit Summary

The documentation supports a billable CMT. PART criteria are clearly met. Correction required: diagnostic coding conflict identified in Assessment.

II. Billing Recommendations

CPT Code 98940 (1-2 Regions)
ICD-10 Corrected M99.02 (Thoracic)

Note: S39.012A was rejected. It describes an “initial encounter” lower back strain which contradicts the documented chronic thoracic maintenance.

III. PART Evidence Mapping

PAIN

“Mild tenderness at T3-T5”

ASYMMETRY

“Segmental dysfunction / posture”

R.O.M.

“Limited thoracic rotation”

TISSUE

“Minimal hypertonicity”

V. Documentation Fixes

  • Remove “Chiropractic Economics” (Repeated Copy/Paste Artifact).

  • Update ICD-10 to M99.02 to accurately reflect the thoracic region treated.

Experience it with your own notes.

Test the auditor in the live beta environment. See how it identifies gaps in your actual clinical encounters.

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