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askFinz
Solutions · Healthcare
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.
Persona · Group practice consultant
Hypothetical persona — not an actual customer quote.
Privacy by perimeter

Med will run on its own database with separate credentials, isolated from the rest of the platform. We do not train models on your data — that is a design constraint, not a marketing claim.

Today

What the workshop already does, carefully.

  • 01
    Literature review with citations attached to every claim.
  • 02
    Patient-education drafting from a working library, in plain language.
  • 03
    Document storage that is versioned, recoverable and searchable.
  • 04
    Semantic search across the corpus — find the paragraph, not the file name.
Workspaces in private access
Research
Available

Studies that cite their sources.

Storage
Available

Your files, organised.

Search
Available

A search engine for humans, agents and LLMs.

Chat
Available

One conversation, every model.

On the roadmap

What lands when the perimeter is ready.

Med
Coming soon

Organise records, look up references, prepare for appointments. Privacy isolated by design.

Edu
Coming soon

Courses, progress, certificates. Learning that adapts to how you work.

Data
Coming soon

Drop a file, ask a question, get a chart. No formulas required.

  • A privacy-isolated patient-record helper inside Med, on its own database.
  • Clinical learning paths with structured progress in Edu.
  • Structured data analysis for trial and outcomes data via Data.
Example workflows

Four shapes of work that already fit.

Flow 01

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.

Flow 02

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.

Flow 03

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.

Flow 04

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; nothing trains on what's inside it. A design constraint, not a marketing line.

One workflow, end-to-end

Preparing a patient-education one-pager from current literature.

Four steps. Four workspaces in private access today. Citations survive the journey from paper to handout.

  1. Step 01
    ResearchAvailable
    Read 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.
  2. Step 02
    StorageAvailable
    Pull 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.
  3. Step 03
    SearchAvailable
    Search 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.
  4. Step 04
    ChatAvailable
    Style 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.
What this isn't

askFinz is not your EHR, your e-prescribing system or a clinical decision-support tool — and we are deliberate about not pretending to be. Med will run on its own isolated database when it lands. The workshop produces the handout, the literature summary, the searchable corpus you would otherwise hand-craft. Diagnosis, prescribing and the patient record stay where they belong; we just take the documentation work off the desk.

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.