Clinicians
SimHealth is a clinician-informed pre-pilot exploring supervised digital support for the “between-session gap” in gambling-related urges.
The focus is feasibility, safety boundaries, and measurable signals—without outcomes language before evaluation.
For clinicians, services, researchers, and institutions (not for patients).
How to engage (recommended order)
If you’re not sure where to start, begin with the questionnaire. It’s the fastest way to share requirements and reduce assumptions.
Questionnaire Recommended
Share governance expectations, workflow realities, accessibility needs, safeguarding concerns, and evaluation priorities.
Pilot conversation
For services/institutions exploring supervised pre-pilot feasibility with documented boundaries and governance alignment.
Research / collaboration
Discuss study design, measurement discipline, and how evaluation would be approached before outcomes language.
Collaboration routes
Pick the route that matches your intent. Each path has a clear next step.
Clinician & research questionnaire (~8–12 minutes)
The fastest way to contribute. Professional feedback only—no patient-identifying information and no case-specific narratives. Email is optional unless you request follow-up or updates.
Pilot enquiries
Supervised early access for services and institutions: feasibility planning, safeguarding readiness, and governance alignment (DPIA-led, consent-first, data minimisation).
Research collaboration
Discuss measures, protocol design, and reporting discipline. We avoid outcomes language until evaluation is complete.
Under the hood (pre-pilot concept)
SimHealth is being designed as a supervised, two-sided programme: a structured, time-limited patient experience for urge-management sessions, and a clinician portal focused on oversight, governance, and feasibility measurement.
- Patient layer: session flow (start → exposure → reflection → exit plan), safer exits, signposting, no real-money gambling.
- Clinician layer: oversight-oriented views plus feasibility signals (session frequency/duration, abort points, checkpoint completion, burden markers).
- Governance layer: consent-first, data minimisation, deletion pathway, DPIA-led planning with partners.