Public health and research
Healthier populations, measured, not assumed.
The twin that helps one person notice a change early can, with consent and only in aggregate, show how a whole population’s health is moving. Averra is designed to give health authorities and researchers the evidence to keep people healthier for longer.
A living picture
From an annual snapshot to a population’s pulse.
Most population health statistics arrive months or years after the fact. Continuous, consented measurement can show where risk is rising while there is still time to act, and whether prevention is working.
- Aggregated, de-identified trends across seven body systems.
- Early signals of rising risk, before they become admissions.
- Prevention programmes evaluated against matched controls.
- Insight that helps target prevention where it is needed most.
Illustration only, not data.
How an insight is made
Privacy built into every step.
Population insight is designed to pass through six steps before anything leaves. Planned capability
Consent
People choose, source by source, and can withdraw.
De-identify
Direct identifiers are removed first.
Aggregate
Only group-level measures are formed.
Protect
Disclosure controls stop anyone being singled out.
Review
Every release is approved before it leaves.
Release
Insight for health research and population health only.
Healthier for longer
More years, lived well.
The aim is not only a longer life, but more of it in good health. That depends on noticing small changes early, confirming them properly and acting while care is still simple, every day rather than once a year.
Healthy environments and communities
Healthier places, by design.
Health is shaped by where people live, work and move. In aggregate, the twin is designed to help authorities see where prevention is needed most, and whether community programmes are working. Planned capability
Where to act
Designed to show where rising risk is concentrated, so prevention can be targeted rather than spread thin.
What works
Community programmes, from active-living initiatives to seasonal health campaigns, evaluated against comparison groups.
Who is reached
Whether prevention reaches the people who need it most, not only the people who were already healthy.
Measures that matter
Aligned with how the world measures healthy ageing.
Healthy life expectancy
The years a population can expect to live in good health. Continuous measurement is designed to help track the everyday drivers behind it.
Functional ability
The World Health Organization describes healthy ageing as developing and maintaining the functional ability that enables wellbeing in older age. Movement, sleep and recovery are part of every twin.
A decade of healthy ageing
The UN Decade of Healthy Ageing (2021–2030) calls for better data on how people age. Consented, aggregated insight is designed to contribute to it.
Research agenda
Evidence first, claims later.
Averra will not claim an outcome it has not measured. This is how it intends to earn the evidence, in the open.
Validate the model
A prospective validation of the risk stratification and escalation model, submitted for peer-reviewed publication.
Measure against controls
Prevention measured against risk-matched control groups, never on a simple before-and-after.
Publish the methods
How outcomes and savings are measured, so others can check the working and reproduce it.
Register before we start
Study protocols registered before data collection begins, so the questions cannot shift afterwards.
Report what doesn’t work
Null and negative results published alongside positive ones.
Work with independent researchers
Analyses checked by academic partners who are independent of Averra.
What the evidence says
Honest about what works.
Published research shapes how Averra is designed. It is evidence for the approach, not a result Averra has achieved.
Digital twins can change outcomes
A randomised trial found that a metabolic digital twin improved blood-sugar control compared with usual care.
Pantalone et al., NEJM Catalyst, 2025
Generic wellness often doesn’t
Large randomised studies of workplace wellness programmes found no significant effect on health or cost, which is why Averra measures prevention against controls.
Jones, Molitor and Reif, QJE, 2019; Song and Baicker, JAMA, 2019
Understanding matters
People with limited proficiency in the language of their care are more likely to report not understanding their medical situation. Averra explains every change in the member’s own language.
Wilson et al., Journal of General Internal Medicine, 2005
Data ethics
Built for public trust.
Public bodies need to know exactly what they would receive, and what they never will.
- Consent first. People choose what to connect, source by source, and can withdraw at any time.
- Separate choices. Consent for care, for aggregated insight and for research contact is asked for separately, and each can be withdrawn.
- Aggregated and de-identified. Authorities receive population insight, never individual records. Individual data is never sold.
- No one singled out. Disclosure controls are applied to every output, so no individual can be identified.
- Safe access. Access is designed around the recognised “Five Safes”: safe people, projects, settings, data and outputs.
- For health, never advertising. Insight is shared only for health research and population health.
- Never used against people. Health data is never used to set a price, decide cover or assess a claim.
- Sovereign hosting. Data is hosted in line with each country’s health-data law.
- Explainable by design. Every automated decision records the factors, weights and rule version behind it.
Questions
Public health, in brief.
What could Averra offer public health authorities?
A consented, aggregated and de-identified view of how a population’s health is changing across seven body systems, measured continuously rather than once a year, and a way to evaluate prevention programmes against matched controls.
Would authorities see individual health data?
No. Public bodies would receive aggregated, de-identified insight only, with member consent, for health research and population health. Never individual records, and never for advertising.
How is privacy protected in population insight?
By design, insight passes through six steps: consent, de-identification, aggregation, disclosure controls so that no one can be singled out, review, and release only for health research and population health. Authorities never receive individual records.
How will Averra prove its outcomes?
By measuring them against risk-matched control groups, never on a simple before-and-after, and by publishing the methods. Its research agenda starts with a prospective validation of its risk stratification and escalation model, to be submitted for peer-reviewed publication.
How does Averra think about living longer?
As healthspan, not just lifespan: more years lived in good health. The twin is built to notice changes early, confirm them with a home test and get people to the right care while it is still simple.
Build a healthier population with us.
Talk to us about what continuous, consented population health measurement could do for your population.