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For institutions · Prototype

Pharmacogenomics for care systems, built on consent.

Healthyven is a prototype. This page describes how hospitals, clinics, health insurers and public health bodies could use a platform like it. Nothing here is a product offer, and all data in the prototype is synthetic.

What institutions could use

Three ideas we are exploring. In the prototype they exist only as early versions with synthetic data, or not yet at all.

Population view

Aggregated data from people who gave consent: how many have a result for a gene that a CPIC guideline covers, grouped by phenotype. No names and no individual records.

Care-team view

Clinicians and pharmacists see the CPIC phenotype and the published guideline action for a patient who has given consent. In the prototype this exists for approved professional accounts.

Reporting

Aggregated summaries for quality and planning work, counted only from people who agreed to it, never individual data. This is not built yet.

How it works in principle

  1. Consent first

    A person chooses to take part and gives consent. Care and research are separate choices.

  2. Only a few markers

    From an uploaded genetic file, only a small list of gene markers is kept. The rest is not stored.

  3. Published guidelines

    The markers are matched with published CPIC tables. Where the tables give no answer, nothing is guessed.

  4. A clinician decides

    Clinicians and pharmacists see the information and make the decisions. Healthyven does not diagnose or prescribe.

  5. Aggregated views only

    An institution could see counts across many consenting people, never one person's data.

What a population view could look like

A made-up example to show the idea. These numbers do not describe any real place or people.

1,000people in a made-up example group who gave consentIllustrative example, not real data
640of them uploaded a genetic fileIllustrative example, not real data
410have a result for a gene that a CPIC guideline coversIllustrative example, not real data
Phenotype groups for one example gene
  • Normal metabolizer58%
  • Intermediate metabolizer34%
  • Poor metabolizer8%
Illustrative example, not real data

Privacy and consent first

Built around GDPR principles

A clear purpose, as little data as possible, and the right to withdraw at any time.

No data without consent

Each consent is separate, for example for care and for research, and never bundled with another. Every consent can be withdrawn.

Consent-based care link

A doctor sees a patient's gene results only through a read-only link that the patient chooses to create.

Access rules in the database

Every table has access rules, so each person sees only what they are allowed to see.

This prototype has not had a legal or data-protection review.

Talk to us

Are you part of a hospital, clinic, health insurer or public health body and want to discuss the idea? Write to us.

contact@healthyven.com

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