About SimHealth
SimHealth is a clinician-informed project exploring whether structured, safety-first digital support can help reduce harm during gambling-related urge spikes within supervised pathways and clear governance boundaries.
Looking for details on status, intended use boundaries, and what is planned versus available? See Medical Disclaimer and Privacy.
Why this project exists
Origin
SimHealth emerged from lived experience alongside a long-standing interest in how people engage with gambling environments, especially during high-risk moments when support is often unavailable.
The project began with a simple observation: there is often a difficult gap between real-world urges and the support available between structured clinical sessions. SimHealth is being developed to explore whether that gap can be addressed more safely through a supervised, digitally supported approach.
It is not positioned as a replacement for existing care. Instead, it is being shaped as a possible supervised complement — one that is developed cautiously, evaluated properly, and framed with explicit limits from the outset.
The project is being developed independently, with a focus on clinical responsibility, governance, safety boundaries, and transparency at every stage.
What SimHealth is
SimHealth is being designed as a two-sided concept: a clinician-facing programme for supervised pilot use, and a patient-facing companion for structured, time-limited support aligned with a clinician’s care plan.
Clinician-facing (concept)
- Governed pilot access: designed for supervised use with defined boundaries.
- Prescribing logic (planned): clinicians can decide what is enabled and when.
- Low burden: designed to fit real workflows without heavy admin load.
- Conservative communication: no outcome claims without evaluation.
Patient-facing (concept)
- Structured support: prompts and tools intended for high-risk moments.
- Time-limited access: designed to work within a supervised pathway.
- Accessibility-aware: interface concepts informed by cognitive load and accessibility needs.
Mission
SimHealth focuses on moments where urges can escalate quickly and support may be limited or unavailable. The project explores whether well-governed digital support can improve continuity between sessions, support safer decision-making, and reduce disengagement — without encouraging or normalising gambling.
What the project aims to improve
- Continuity: support between appointments, not only inside clinics.
- Decision support: help users pause and choose safer actions during urge spikes.
- Engagement: reduce drop-off in early treatment phases.
- Governance: explicit boundaries, supervised pathways, and no uncontrolled release.
Who it is for
- Clinicians and services: exploring supervised digital adjuncts.
- Researchers: feasibility, safety signals, and usability evaluation.
- Institutions: governance discussion and pilot readiness planning.
Status and regulatory posture
SimHealth is in development. This website is a public project overview and does not provide clinical care. Any future pilot use is intended to be supervised and documented, with clear boundaries and appropriate approvals where required.
What SimHealth is not
- Not emergency care: no crisis monitoring and no emergency response.
- Not a diagnostic tool: it does not diagnose conditions.
- Not a treatment replacement: it does not replace professional care.
- Not a public consumer release: the goal is supervised pilots first.
Data and hosting (planned)
- Privacy-first: minimise data and use consent-led collection only.
- GDPR-aligned design: principles applied across flows and retention.
- France-based hosting (intended): future infrastructure planning is oriented toward suitable health-grade hosting where applicable.
Frameworks (public overview)
These are project concepts used to guide design and evaluation planning. They do not imply proven clinical outcomes.
CET+
A cue-exposure-informed approach focused on reflection, pacing, and safer choices during high-risk windows.
ACUI
Adaptive Clinical User Interface: accessibility-aware UI concepts, designed to reduce cognitive load and support diverse needs.