Use Case: Trusted Health & Wellbeing Rewards

3 Jul

Rewarding healthier lifestyles through trusted, permissioned data relationships.

Overview

Healthcare providers around the world are looking for new ways to encourage healthier lifestyles while reducing long-term pressure on health services. Rewarding positive behaviours such as regular walking, exercise and healthy living has enormous potential, but only if individuals trust how their personal data is being used.

DataPal enables a new generation of trusted health and wellbeing programmes where individuals can securely share verified activity data on their own terms, receive personalised rewards and remain in complete control of their information. Rather than collecting excessive amounts of health data, organisations receive only the verified information required to deliver the service, creating a trusted relationship that benefits everyone.

Context

Physical inactivity is one of the leading contributors to preventable illness and rising healthcare costs across many countries.

Governments, healthcare providers, insurers, employers and wellbeing providers are increasingly investing in programmes that encourage healthier lifestyles through incentives, rewards and personalised support.

At the same time, wearable devices, smartphones and connected health technologies are generating unprecedented volumes of personal health and activity data. However, much of this information remains fragmented across multiple platforms, with individuals often having little visibility or control over how it is shared.

As AI becomes more capable of supporting preventative healthcare, trusted data relationships will become essential for enabling personalised services whilst maintaining privacy, transparency and individual control.

Challenge

Current wellbeing programmes typically require individuals to hand over continuous access to personal activity data in exchange for rewards or participation.

This creates several challenges:

Limited transparency over how personal health data is used.
Multiple disconnected apps and accounts managing separate permissions.
Individuals often share far more information than is necessary.
Organisations must manage sensitive personal data and associated compliance obligations.
Trust concerns reduce participation and long-term engagement.
Verifying genuine activity whilst protecting privacy remains difficult.

A better model is needed where individuals remain in control whilst organisations receive trusted, purpose-specific information.

Solution

DataPal enables individuals to securely manage and share verified health and activity information through trusted data relationships.

Using MyTerms, individuals define exactly what information may be shared, with whom, for what purpose and for how long.

Rather than providing unrestricted access to health records or wearable data, only the minimum information required to verify completion of a wellbeing programme is securely shared.

DataPal records every permission, request and exchange, providing complete transparency and an auditable record of what was shared, requested and agreed.

Personal AI Agents can then automate permissions, monitor progress, redeem rewards and recommend future wellbeing opportunities, always acting according to the individual's own machine-readable MyTerms.

How It Works (Flow)

1. Join a Programme

An individual enrols in a wellbeing initiative, such as an NHS walking challenge, workplace wellness programme or insurer reward scheme.

2. Define Permissions

Using DataPal and MyTerms, the individual specifies:

what activity data may be shared
who may access it
the purpose of the sharing
how long permission should remain valid

3. Connect Devices

The individual's smartphone, smartwatch or fitness tracker securely provides activity data to their personal DataPal environment.

4. Verify Achievement

DataPal verifies that the agreed activity target has been achieved without exposing unnecessary personal information such as detailed location history or complete health records.

5. AI Manages the Experience

A Personal AI Agent monitors progress, manages permissions, identifies available rewards and redeems eligible incentives automatically.

6. Deliver Rewards

Healthcare providers and participating reward partners issue vouchers, discounts or other incentives based on verified completion.

7. Maintain an Audit Trail

Every interaction is recorded, creating a trusted, verifiable history of what information was shared, with whom, under which agreed terms and for what purpose.

Actors

The Individual (Data Owner)

The individual remains in complete control of their health and activity information.

They decide:

what information is shared
who may access it
how long permissions remain active
which programmes they wish to participate in

They receive personalised rewards whilst maintaining privacy and transparency.

The Organisation (Healthcare Provider or Wellbeing Programme)

Healthcare providers, employers, insurers and reward partners request only the specific information necessary to verify participation.

Rather than storing large volumes of sensitive personal data, organisations receive trusted verification that agreed milestones have been achieved.

The DataPal Platform

DataPal provides the trusted infrastructure that enables secure, permissioned data sharing.

The platform:

ingests activity data from trusted sources
manages machine-readable MyTerms
verifies permissions before sharing information
records every interaction
maintains a complete audit trail
enables privacy-preserving verification rather than unrestricted data access

The Personal AI Agent

Personal AI Agents act on behalf of the individual to:

monitor wellbeing goals
manage permissions automatically
recommend suitable programmes
compare available incentives
redeem rewards
withdraw permissions when programmes finish
maintain ongoing health engagement

All AI activity operates within the permissions defined by the individual's MyTerms.

Benefits

For Individuals

Greater control over personal health information.
Share only the minimum information required.
Transparent, privacy-preserving participation.
Personalised incentives and rewards.
Improved motivation through AI-supported wellbeing journeys.
Complete visibility of every data-sharing decision.

For Employers and Reward Partners

Privacy-preserving reward programmes.
Trusted verification without excessive personal data.
Increased customer engagement.
Reduced fraud.
Improved brand trust.

For Healthcare Providers

Higher public participation.
Increased long-term engagement.
Trusted verification of programme completion.
Reduced administration.
Improved preventative healthcare outcomes.
Lower long-term healthcare costs.

For AI Ecosystems

Access to trusted, permissioned data.
Clear governance through machine-readable permissions.
Transparent decision-making.
Verifiable auditability.
Safe automation of personalised wellbeing services.

Outcomes

Trusted wellbeing programmes have the potential to significantly improve public health whilst strengthening trust between individuals and organisations.

Research already demonstrates the scale of the opportunity:

Around one in four adults in England are classified as physically inactive.
Physical inactivity is associated with one in six deaths.
Walking for 30 minutes, five times per week has been linked to up to four additional years of healthy life.
Increased physical activity reduces pressure on healthcare systems and supports preventative care strategies.
Trusted, permissioned data sharing encourages greater participation by giving individuals confidence that they remain in control of their personal information.

As AI-powered preventative healthcare evolves, trusted data relationships will become a critical foundation for delivering personalised health services at scale.

Why now?

Healthcare is shifting from treating illness to preventing it.

Governments, healthcare providers, employers and insurers are increasingly investing in preventative health programmes that encourage healthier lifestyles through digital engagement, behavioural incentives and personalised support. At the same time, wearable devices and smartphones have become commonplace, generating trusted activity data that can help improve health outcomes.

AI is also transforming preventative healthcare. Personal AI Agents will increasingly help individuals monitor wellbeing, recommend healthier behaviours, manage long-term conditions and automatically participate in reward programmes on their behalf.

However, for these services to succeed, individuals must trust how their personal information is collected, shared and used.

DataPal provides the trust infrastructure that makes this possible.

By combining verifiable permissions, machine-readable MyTerms, portable digital identity through MyKey and complete auditability, DataPal enables a new generation of health and wellbeing services built on trusted data relationships rather than unrestricted data collection.

As healthcare becomes increasingly digital and AI-assisted, trusted data relationships will become the foundation for delivering personalised, preventative and privacy-preserving care at scale.