OPUM is an AI-driven digital platform that utilizes patented goniometer-based sensors to provide accurate, real-time monitoring of knee health metrics for patients undergoing musculoskeletal rehabilitation. The platform enhances clinical decision-making and patient engagement by delivering actionable insights, ultimately improving care efficiency and outcomes while enabling reimbursement for remote patient monitoring services.
Funding
$532.1K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Patients undergoing musculoskeletal rehabilitation for knee injuries often lack access to accurate, real-time monitoring of their progress outside of clinical settings. Traditional methods rely on infrequent in-person evaluations, hindering timely intervention and potentially leading to suboptimal outcomes. The absence of continuous data limits clinicians' ability to make informed decisions and personalize treatment plans effectively.
Solution
OPUM provides an AI-powered digital platform that delivers remote monitoring of knee health metrics, facilitating enhanced clinical decision-making and improved patient engagement. Utilizing patented goniometer-based sensors, the platform captures accurate, longitudinal data on range of motion, activity levels, and other key indicators. This data is then processed through proprietary algorithms to generate actionable insights, presented to clinicians via a cloud portal. By enabling continuous monitoring and data-driven adjustments to care plans, OPUM aims to improve care efficiency, patient outcomes, and enable reimbursement for remote patient monitoring services. The platform integrates with existing knee brace products and supports both Remote Patient Monitoring (RPM) and Remote Therapeutic Monitoring (RTM) codes.
Target Audience
The primary target audience includes orthopedic surgeons, physical therapists, and other healthcare providers specializing in musculoskeletal rehabilitation, as well as patients recovering from knee injuries or managing chronic knee conditions.
Features
- Patented goniometer-based modular sensor design for accurate, longitudinal data collection
- Hinge sensor package delivering validated range of motion, daily activity history, and advanced joint analytics
- Cloud portal surfacing clinically and commercially actionable insights
- AI-powered predictive algorithms based on wearable sensor data, EHR/claims data, and patient-reported outcomes
- Integration with multiple wearable technologies, including rigid post-op braces, offloader braces, and soft sleeves
- Digital Knee Reimbursement & Value Analysis Calculator to determine available remote monitoring and DME reimbursement
- Patient-facing mobile app for activity tracking, personalized education, and direct communication with clinicians