Have an evidence conversation, then check the claim
Use AI to find and interrogate research. Open the source before a finding becomes a recommendation.
← The Health AI Toolkit
Practical AI workflows for a health practice
Start with public sources and fictional records. Make the review step explicit before a draft becomes an action or a clinical record.
From question to reviewed output
Choose a workflow to try.
Build a living care map with fictional records
Practice turning scattered information into a reviewable map of goals, context, uncertainties and follow-through.
Turn a message into a proposed record update
Keep the original message, AI draft, clinician decision and approved record change distinct.
Set up a weekly research brief you will actually review
Test a public-source research request once, check a source, then schedule it with a clear owner and destination.
Map the data path and the agent’s permissions
Review what a tool can read, what it can do and where copies remain before connecting it to practice information.
Insurance-based and cash-pay practices: practical privacy decisions
Determine the practice’s legal status first, then evaluate the specific workflow and information it uses.
Check retention beyond “not used for training”
Training, storage, deletion and zero data retention describe different things. Verify the exact service and feature.