Clinical AI review
Review a proposed AI tool or workflow: its intended use, supporting evidence, source data, failure cases and human review steps. Identify questions that need answers before relying on the output.
Clinician Signature Advisory
Clinician Sign
Clinical AI review and operations workflow advisory for teams deciding what to adopt, improve or question.
Services
Operations workflow audit
Examine how work moves through a process, where handoffs break down and which changes deserve priority. Agree on the workflow and the scope of the audit before starting.
How an engagement works
- Start with the decision. Describe the tool or workflow, who uses it and what you need help assessing.
- Agree on the scope. Confirm the review questions, materials, deliverables, fees and timing before work begins.
- Review the evidence and next steps. Use the findings to discuss gaps, priorities and decisions with the responsible team.
The framework behind the review
The Clinician Sign questions guide the work. An engagement applies them to the system or workflow in scope.
- What happens when an answer cannot be grounded in the source?
- Where does the output go before someone checks it?
- Which sources does the system use, and what is missing?
- Who is responsible for reviewing the decision?
- What do the failures look like?
Advisory review does not certify a product, guarantee safety or replace clinical judgment, legal advice or regulatory review.
Start a conversation
No sensitive data in an initial inquiry. A redacted or fictional example and a short description of your question are enough.