The challenge
Student mental health rarely has predictive data behind it. Wellbeing teams react after a crisis happens, and support programmes struggle to measure their real impact.

The solution
- Self-reporting validated with psychometric instruments.
- Passive behavioural signals, handled under strict privacy safeguards.
- A predictive model with early alerts for wellbeing teams.
- Referral pathways and educational material built into the platform.
- Aggregate dashboards that never expose individual-level data.
- Integration with existing university systems.

Results
Wellbeing teams detect risk signals earlier, cut their response time, and for the first time have aggregate data to guide student policy.
| Before | After | |
|---|---|---|
| Risk detection | Reactive | Predictive and early |
| Privacy | No defined standard | Aggregate dashboards, never individual |
| Data for student policy | Non-existent | Aggregated and available |

Use cases
Universities, institutes and graduate schools.
In depth
Listen before classifying
In student wellbeing, an isolated signal is rarely an explanation. PractiCare supports better questions for care teams, rather than automated diagnosis, with clear language and routes to help.
Consent that can be understood
The platform separates care information from optional research data. Students need to understand collection, access, retention and correction at the relevant point in their journey.
Referral and continuity
A form alone does not provide care. Authorised staff need referral status and named follow-up owners, while urgent situations follow institutional protocols and professional judgement.
Institutional learning without individual exposure
Aggregate views can inform resource planning only when group size and export rules prevent re-identification. Small counts can still be sensitive.
Testing before scaling
A pilot must test comprehension, referrals, accessibility, response times and trust. Results from one campus should not be copied to another without reviewing services and protocols.