Physician-authored simulators —
not limited to one specialty.
Designed by a multi-board-certified physician with national and international awards, the platform delivers staged diagnostic commitment, confidence calibration, media-rich case progression, performance analytics, sponsor-safe external resource pathways, and configurable educational endpoints.
The simulator suite is one branch of a broader physician-founded research and analytics ecosystem. It draws on the same editorial standards that govern the parent platform’s case library and structured radiographic interpretation work.
A simulator suite built on a research-grade parent platform.
The simulators are not a standalone product. They sit alongside an active radiographic case library and an evolving body of structured interpretation work — both maintained by the same physician-led editorial team.
RheumaView Research Hub
The originating environment: radiographic case library, structured interpretation work, preprint publications, and ongoing challenge series across musculoskeletal, spine, and cross-disciplinary imaging.
Visit CasesInteractive Case Simulators
Staged diagnostic commitment, confidence calibration, media-rich case states, and performance analytics across multiple specialties, on a single core architecture. See the two examples below for a first look — explore more on the website, or request additional access if you need it.
What the simulator engine actually does.
Diagnostic Commitment
Users commit to staged clinical decisions before any feedback, scoring, or post-case discussion is revealed.
Confidence Calibration
Each decision is paired with a self-rated confidence value, enabling calibration analytics distinct from raw accuracy.
Media-Rich Case States
Animated ECG/telemetry, radiographic media, clinical images, and specialty-specific visuals across evolving case states.
Performance Analytics
Per-user and cohort-level analytics covering accuracy, calibration, decision latency, and case-state progression.
Sponsor-Safe Pathways
External medical, pharma, or educational resources can be integrated clearly and professionally without altering scoring logic.
Configurable Endpoints
Educational, CME-style, and research-oriented endpoints can be configured per cohort or sponsor engagement.
One engine. Multiple specialty pathways.
The architecture is specialty-agnostic by design. There is no fixed catalogue — the same staged-decision engine underlies any field, with specialty-specific layers added as media types, decision schemas, and reference content. The fields below are illustrative, not a closed list.
See the public demo for a first look. If you’d like more — or didn’t find the field you were looking for — send a request.
Public preview is intentionally limited.
The public demo environment shows only a controlled subset of the platform. Substantive case content, deeper analytics, full decision logic, and sponsor-specific configurations are made available through direct engagement.
Open Demo Environment
A small set of representative cases illustrating staged commitment, confidence rating, and case-state progression. Suitable for first-look evaluation.
- Limited number of demo cases
- Core staged-decision interaction visible
- No private analytics surface
- No sponsor-specific configuration
Full Platform Access
Substantive functionality is reserved for institutional, sponsor, and research engagements under appropriate agreement.
- Full case library across all specialties
- Cohort and per-user performance analytics
- Confidence-calibration and decision-latency metrics
- Configurable educational and research endpoints
- Sponsor-safe resource integration
- Private simulator series and custom pathways