Flagship clinical validation

AI Validation + Omission Review

Verify the AI-generated findings and independently search the source record for clinically significant information related to the defined case question.

Starting price

$750

Includes up to 2,500 pages

Additional pages

$150 per additional 500 pages

Standard turnaround

7 business days

Best fit

Active matters where the team needs both confidence in the AI output and a clinically focused check for what may be missing.

What is reviewed

  • Support for each material AI-reported finding
  • Clinical accuracy, temporality, and context
  • Clinically significant omissions tied to the defined question
  • Nursing observations, medication changes, trends, escalation, and conflicting documentation

Scope boundary

  • An unlimited search for every possible issue in the record
  • Legal conclusions or replacement of attorney judgment
  • Expert testimony unless separately retained and qualified
  • A final deliverable format not established in the engagement scope

Review output

Findings your litigation team can work from.

01

Supported, unsupported, and partially supported findings

02

Clinically significant omissions organized around the defined question

03

Source-linked context explaining why a discrepancy or omission matters

04

A clearer clinical QA record for the litigation team

Questions attorneys ask

Know the boundary before you submit.

How is an omission defined?

An omission is information in the source record that is clinically significant to the agreed case question and absent from the AI output being reviewed. The scope is defined before review begins.

Does this replace a full legal nurse consultant review?

It can resolve many focused validation assignments. Matters requiring broader case synthesis, extensive issue development, or deeper clinical analysis may fit Comprehensive Clinical Validation or traditional LNC services.

Compare all review levels

Begin with a scoped inquiry

Ready to add an RN validation layer?

Start with the AI output, approximate page count, deadline, and the clinical question your team needs answered.

Start a validation review