PhysiologicPRISM is an AI-powered clinical reasoning tool built by a physiotherapist. Run structured assessments, get AI-assisted diagnosis reasoning, and draft treatment plans you can review and refine.
Built by Dr Roopa Rao PT — BPT, MPT Orthopaedics, 14 years clinical experience
✓ No credit card required · ✓ 14 days free · ✓ Cancel anytime
Standardize assessments across your team and create more defensible documentation
Learn more →Teach students structured clinical reasoning they can apply in real practice
Learn more →Capture structured physiotherapy data for more consistent research workflows
Learn more →✓ PhysiologicPRISM turns best-practice reasoning into a structured, repeatable workflow.
Guided prompts help you capture red flags, psychosocial factors, and important history details.
Structured workflow keeps your clinical reasoning sharp and consistent, even during back-to-back appointments.
Let the system handle structure and prompts so you can focus on clinical decision-making and patient care.
Integrated prompts help you document patient perspectives, lifestyle factors, and psychosocial context.
Complete clinical records that clearly show your reasoning and decision-making process.
Structured intake ensures no missed history or blind spots.
Plan and perform assessments guided by clinical hypotheses.
AI-assisted insights support your decisions without replacing your judgment.
Clear, structured reports to support your clinical documentation.
Structured, guided, and designed to fit into your workflow.
Hosted on Microsoft Azure, with patient privacy safeguards designed in.
PRISM was created to bridge the gap between how clinical reasoning is taught — and how it is actually applied and documented in real practice.
We're partnering with selected clinics, universities, and educational platforms to evaluate PhysiologicPRISM in real-world use. If you'd like to explore a structured clinical reasoning workflow, we'd love to talk.
Learn about our pilot program© 2025 PhysiologicPRISM | Based on copyrighted PRISM Clinical Reasoning Framework