AI for healthcare teams
Read the literature, draft the handout, and keep the record where it belongs.
We don't need a chatbot that guesses. We need a workshop that reads the literature, drafts the handout, and keeps the record where it belongs.
Med will run on its own database with separate credentials, isolated from the rest of the platform. That perimeter is a design constraint, not a marketing claim.
What the review actually reads
Registered trials first, then the literature.
A clinical answer is only as good as what it was read against. These are reference pages you can open and judge before you trust a single summary.
- Clinical knowledge, and the trials behind it
Registered studies kept as registry records — with phase, sponsor and recruiting status intact — beside the literature.
- Papers, preprints and the data behind them
Open-access research read in full — with the datasets a finding rests on kept alongside the write-up.
- Reference knowledge, read from the wikis that maintain it
The settled account of a subject, read from the maintained entry rather than a copy of it.
askFinz produces the summary and the handout. It does not suggest a diagnosis or recommend a treatment. See the full collection breakdown.
Today
What the workshop already does, carefully.
Four things it is good at now — and a short list, further down, of what it is not ready for.
Literature review with the trail intact
Citations attach to every claim, drawn from the open-access research collection rather than from an article summarising it.
Patient-education drafting
Turn the reading into a plain-language handout, drafted from a working library you control rather than from whatever the model remembers.
Versioned document storage
Every file recoverable and searchable, so a clinician edit on this month's handout never silently overwrites last month's.
Semantic search across your own corpus
Find the paragraph, not the file name — across guidelines, prior handouts and intake notes you have already collected.
Today · in private access
The workspaces a practice uses today.
Shapes of work that fit
Four jobs this already does well.
Clinical literature review
Pull the evidence on a condition, intervention or guideline question. The Researcher reads broadly, the Summariser distils, citations attach to every claim — the trail back to the originating paper is part of the structure, not a footnote.
Patient-facing doc drafting
Turn the literature into a Year-8 reading-level handout. Plain language, question-and-answer rhythm, a glossary for the words that have to stay technical. Versioned in Storage so a clinician edit on this month's diabetes one-pager doesn't silently overwrite the cardiology one.
Code-system mapping
Cross-walk between clinical code systems — diagnosis to procedure, intervention to outcome. The workshop drafts the mapping with the rationale next to each row; the clinician reviews, the workshop doesn't ship it without sign-off.
Isolated workspace for sensitive data
When the data is sensitive, the work moves into a workspace on its own database with separate credentials. Nothing leaves that perimeter. A design constraint, not a marketing line.
One workflow, end-to-end
Drafting a patient handout from the evidence.
Four steps across the workshop, each one shipping today.
- Step 01 · ResearchAvailableRead the literature.
Open a Research notebook on the condition. Branch a thread per question the handout has to answer. Citations attach to every claim, so the trail back to the source paper is part of the structure, not a footnote.
- Step 02 · StorageAvailablePull the house template.
Find the practice's prior patient-education layout in versioned Storage. Versioning means a clinician edit on last month's diabetes one-pager doesn't silently overwrite the cardiology one.
- Step 03 · SearchAvailableSearch your own corpus.
Run semantic search across the practice's own library — guidelines, prior handouts, intake notes. Find the paragraph that already says it well, instead of the file name that suggests it might.
- Step 04 · ChatAvailableStyle pass for plain language.
Drop the draft into Chat. Ask for a Year-8 reading level and a question-and-answer rhythm. Switch model mid-thread if the tone needs adjusting; the citations from Research stay attached.
Not available yet
What we are not ready for.
Organise records, look up references, prepare for appointments. Privacy isolated by design.
Drop a file, ask a question, get a chart. No formulas required.
- —A privacy-isolated patient-record helper inside Med, on its own database.
- —Structured data analysis for trial and outcomes data via Data.
Questions
Frequently asked.
- Is askFinz appropriate for storing patient data today?
- Today's workspaces suit non-patient work — literature review, education drafting, document management. The Med workspace (in build) will run on its own isolated database with separate credentials. For sensitive patient data, we recommend waiting for Med.
- Does askFinz make clinical decisions or suggest diagnoses?
- No. askFinz produces handouts, literature summaries and searchable research corpora. It doesn't suggest diagnoses, recommend treatments or replace your EHR. Clinical decisions remain entirely with the clinician.
- Which workspaces are available for healthcare teams right now?
- Research, Storage, Search and Chat are in private access today. Med — the privacy-isolated workspace with its own database — is on the roadmap and will require a separate access request when it launches.
Working on the research side rather than the clinic? See the clinical research use case.
We would rather tell you honestly what is not ready than have you find out with a patient record in the workspace.