Data and AI · Turn activity into insight
Recommendations learned from what clinicians choose
Healum’s peer-learning algorithm surfaces the options other healthcare professionals recommended for people with a similar profile, and the outcomes those people achieved. Your team gets a second opinion. They always make the call.
How a suggestion is made
A second opinion that learns from your peers
Suggestions come from what other healthcare professionals chose for people with a similar profile, and the outcomes those people went on to achieve.
Learned from peers. Decided by you.
Tom, 58New patientPeople like TomType 2 diabetes, newly diagnosed
What matters: walking again
- 1Walk goal: 20 minutes a dayChosen by clinicians like youAddAdded
- 2Recipe: 1-minute omeletteChosen by clinicians like youAddAdded
- 3Local walking groupChosen by clinicians like youAddAdded
Priya decides what goes in the plan.
How a suggestion is made
A second opinion that learns from your peers
Practices across the country join the network.
Clinicians choose goals, recipes and local services with the people they care for.
Only consented choices pass. Names come off on the way through.
Priya, Practice Nurse, opens Tom’s record. The network looks for people like him.
Suggestions arrive, ranked by what peers chose. Priya decides what goes in the plan.
Learned from peers. Decided by you.
Consented, anonymised choices from clinicians across the network.
Tom, 58New patientPeople like TomType 2 diabetes, newly diagnosed
What matters: walking again
- 1Walk goal: 20 minutes a dayChosen by clinicians like youAddAdded
- 2Recipe: 1-minute omeletteChosen by clinicians like youAddAdded
- 3Local walking groupChosen by clinicians like youAddAdded
Priya decides what goes in the plan.
Ethical AI
Built to earn clinical trust
Consent at the centre
Patients understand how their data is used and stay in control, alongside their healthcare professionals.
Trained by clinicians
Options come from what clinicians choose in real care plans, so suggestions stay relevant to each person.
Bias found and addressed
Diverse training data, multidisciplinary teams, regular bias audits and algorithms updated as we learn.
Standards we build to
NHS AI ethics principles, NICE Evidence Standards, NHS ethical codes and transparency standards for algorithms.
Trusted Research Environments only
We train and validate our models only in Trusted Research Environments with the right governance in place.
See decision support with your own pathway
We’ll show you how suggestions appear in the clinician workspace.