Demo case
Jane M. Doe — Social Security Disability Claim
Drop a medical records PDF to generate a structured Functional Evidence Inventory with page-level citations.
Records are encrypted in transit and at rest. HIPAA-compliant. Never used for training.
Extracting functional evidence from 28 pages using clinical NLP and policy mapping.
Unable to lift more than 5 pounds with right arm due to shoulder impingement secondary to MS spasticity. Marked weakness in right upper extremity documented on exam.
Marked limitationp. 12 — Neurology Consult, Dr. Sarah Chen MD
Concentration and sustained attention severely impaired; unable to maintain focus for more than 15 minutes per neuropsychological testing. Processing speed at 3rd percentile.
Extreme limitationp. 23 — Neuropsychological Evaluation
Cannot perform stooping, kneeling, or crouching. Walker-dependent ambulation documented at EDSS 6.0. Requires bilateral forearm crutches for all transfers.
Precluded entirelyp. 7 — Physical Therapy FCE Report
Criteria met: Significant and persistent disorganization of motor function in two extremities, resulting in sustained disturbance of gross and fine movements, or gait and station.
See also: 12.04 Major Depressive Disorder (57%) · 12.02 Neurocognitive Disorders (57%)
⚠ Evidence Gap Identified
No treating physician RFC opinion on file. Consider requesting form SSA-RFC-827 from Dr. Chen to document specific functional limitations and their medical basis.
How MedEvidence AI changes your case prep workflow.
| Without MedEvidence AI | With MedEvidence AI |
|---|---|
| Manual record review: 3–5 days | ✓ Automated extraction: ~5 min |
| Medical summarizer: $500–2,000 | ✓ Per-case cost: $85 |
| Generic narrative summary | ✓ 254 cited findings, 18 RFC domains |
| No Blue Book mapping | ✓ 17 Blue Book listing matches |
| No evidence gap flags | ✓ Gaps identified before the hearing |
Built by a medical student who reads these records. Every finding is cited to the exact page it came from.
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