Sample Output
See an anonymised severity-scored finding.
A real example of how MedCase structures evidence-linked findings against clinical protocols. This is the kind of output your team would review for a clinical negligence assessment.
For UK clinical negligence solicitors, barristers, expert witnesses, claims heads, and medico-legal agencies.
Preview
“[PATIENT] presented with persistent chest pain on three consecutive visits between [DATE] and [DATE]. No cardiology referral was made despite the documented symptom pattern...”
"Annual medication review was overdue by 4 months. No documented assessment of side effects..."
"Patient did not attend scheduled cardiology follow-up. No documented attempt to rebook..."
Anonymised sample. All identifying details have been removed or fabricated. PII sanitisation tags ([PATIENT], [DATE]) shown for illustration.
What you’ll see in the full sample
- A complete severity-scored finding with the full evidence quote, protocol reference, and page citation
- How findings prioritise professional review at a glance (1 to 10 severity)
- A short note on AI limitations and the human review expectation
- The shape of the case-level summary, including a breakdown by severity band
Request the sample
Get the full anonymised output.
We’ll send the full sample assessment to your work email so you can share it with the case-handling team.
Prefer a live walkthrough?
Schedule a Demo →AI limitations & human review
MedCase uses AI to assist in the review of medical records against established clinical standards. The output is an analytical aid for qualified legal and medical professionals. It does not constitute medical advice, a diagnosis, a legal opinion, or a determination of negligence. All outputs should be reviewed and verified by a qualified solicitor and/or medical professional before use in any legal matter.
See it on your own case
Book a 30-minute walkthrough and we'll show MedCase running on a sample case end-to-end.