Research-led.
Consent-led.
Clinically governed.
MyStera’s signal ontology is grounded in research and designed for sensitive health and wellbeing data.
Built on an evidence-informed signal ontology.
The MyStera signal ontology maps physiological, sleep, emotional, behavioural, cognitive, social, environmental, lifestyle, clinical and digital engagement signals to their role in the ProfileIQ model.
Signals are not treated equally. Some are core weighted signals. Some are vulnerability indicators. Some are context modifiers. Some are protective factors. Some high-risk signals trigger safety workflows rather than ordinary scoring.
The ontology is designed to evolve as MyStera validates its models through pilots, clinical review, user feedback and outcome measurement.
From evidence-informed design to validated outcomes.
The research base informs the design of ProfileIQ, the wellbeing-state model and the routing logic.
MyStera will validate its own models and intervention pathways through pilots, benchmarking, clinical review, user feedback, data-quality monitoring and ongoing model-performance evaluation.
The goal is to move from plausible early intelligence
to measurable, validated prevention.
Validation activities
- Pilot studies
- Clinical review
- Benchmarking
- Model-performance evaluation
- User feedback
- Data-quality monitoring
- Bias and fairness review
- Outcome measurement
Designed for trust, safety and accountability.
MyStera is being designed for sensitive health and wellbeing data from day one.
The platform must support clear consent, privacy-preserving reporting, clinical governance for escalation pathways, transparent data use and ongoing review of model performance.
Governance is part of the product architecture.
Not an afterthought.
- Consent-led data use.
- Privacy-preserving employer reporting.
- No identifiable employee health data shared with employers.
- Clinical review for high-risk pathways.
- Clear escalation logic.
- Data-quality and bias monitoring.
- Legal and regulatory review from day one of funded build.
- Transparent boundaries on what MyStera does and does not do.
High-risk signals require safety workflows, not simple scoring.
MyStera’s state model recognises crisis as an operational state.
Where high-risk signals are detected, the platform should not treat them as ordinary wellbeing inputs. They should activate appropriate safety workflows, escalation logic and governance review.
The aim is to support earlier action while being clear about the limits of digital health-risk intelligence.
Ordinary signals
Baselines, weighting and context inform proportionate routing to support.
High-risk signals
Move out of ordinary scoring into safety workflows, escalation logic and governance review.
MyStera provides preventative health intelligence. It does not provide medical diagnosis or treatment advice, and it does not replace clinical care or emergency services.
Partner with us on evidence and validation.
We are working with clinicians, researchers, employers, insurers and healthcare partners to validate ProfileIQ and measure preventative outcomes.