AI in Rehabilitation & Remote Therapeutic Monitoring (RTM)
A 30-minute practitioner-focused session on integrating AI into clinical workflows and improving patient outcomes.
University-ready AI education
HEMSCap Academy
HEMSCap Academy equips universities with a future-ready model of physical therapy education integrating AI, simulation, and real-world clinical workflows into the curriculum. Our platform enables students to learn by doing, using the same tools that are shaping the future of rehabilitation and remote patient monitoring.
Proven Educational Presentations
Built from real academic and clinical sessions
Our academic and professional sessions have been delivered to both students and clinicians, demonstrating real-world applications of AI in rehabilitation.
Simulation-Based Training with PivotalPT
Delivered at the Samuel Merritt University Simulation Center, where students interact with AI-powered simulated patients and generate plans of care.
AI-Driven Clinical Reasoning in Physical Therapy
A structured framework for teaching decision-making using AI-assisted tools in both academic and clinical settings.
Computer Vision & Smart Exercise Engine in Rehab
Demonstrating real-time motion analysis and its application in both patient care and student training.
University Partnership Model
Flexible curriculum integration
We partner with universities to seamlessly integrate HEMSCap Academy into existing curricula or as a standalone innovation track.
1
Simulation-Based Teaching
Students evaluate and treat AI-powered simulated patients, mimicking real clinical encounters.
2
Project-Based Learning
Hands-on projects where students design care plans, track patient progress, and analyze outcomes using AI tools.
3
AI-Powered Patient Monitoring Training
Exposure to Remote Therapeutic Monitoring (RTM), computer vision, and generative AI documentation.
4
Faculty Enablement
Training and support for faculty to incorporate AI into coursework and clinical labs.
Designed for faculty teams, clinical labs, simulation centers, and innovation tracks preparing students for AI-enabled care.