Digital Knee® - The Orthopedic Data Standard
The Digital Knee® ecosystem is built around a goniometer-based sensor and the Digital Knee® clinical data standard which builds a digital twin specifically for the knee health. This digital representation of a patients real knee incorporates clinical data across four categories to build a holistic clinical picture of knee health;
Anatomy: Active and passive terminal knee flexion / extension to within 1°
Function: Gait analysis incl. functional knee and hip ROM and spatiotemporal parameters such as stride length, speed & cadence
Activity: Daily living and posture recognition using AI algorithms as well as adherence to surgical and rehab protocols
Symptoms: Based on gold standard patient reported outcomes such as KOOS and pain scores
Studies have validated the accuracy and reliability of the Digital Knee® in the real world. Physicians can now trust remote data to make clinical decisions, identify at-risk cases and determine follow-up necessity clinic efficiencies.
Provide the Best Care.
Efficiently.
OPUM uses best in class goniometer-based sensor technologies and AI algorithms embedded into the same knee brace designs you are already prescribing. Digital Knee® provides objective accurate measurement of knee health over days, weeks and months.
OPUM helps to identify at-risk patients, enabling you to intervene at the first sign of a problem, not when they return to clinic.
Automatically generated patient-specific care plans help speed up the process for simple cases - but still offer total flexibility in the final prescribed care plan.
Real-Time
Remote Patient Monitoring.
The OPUM clinician dashboard enables all care providers in the continuum of care to collaborate in supporting a patient to recovery.
This platform makes every aspect of implementing remote patient monitoring of your patients effortless. Proprietary algorithms tell you how patients are progressing, automatically identifying exercises and helping you perform assessments that can assist to inform clinical decisions.
Our research has shown your patients also benefit from a more connected care experience, resulting in better motivation, engagement and program adherence.
Population Data.
Yours and the World’s.
Whether you want to see how your patient population recovers, or whether you want to compare how your patient’s recovery is tracking compared to population data, the OPUM platform unlocks population knee health data for healthcare providers while strictly adhering to patient privacy regulations.
Manage patients across your practice to track how well you are performing in terms of outcomes and efficiency. Utilize data to support value-based care initiatives.
“OPUM’s Digital Knee® platform augments clinical practice and has the potential to completely revolutionize rehabilitation of knee injuries”
How Can The Digital Knee® Platform Help?
Data We Measure
Posture and activity using artificial intelligence (AI)
Active and functional range-of-motion
Clinical gait analysis and spatiotemporal parameters
Joint mobilization and workload
Brace and exercise adherence
Digitize Protocols
Fully customizable surgical and rehabilitation protocols following international standards
“One click” prescription to send to your patients’ mobile app directly
Measure patient adherence to surgical and rehab protocols
Patient-reported outcome measures
Include education and cognitive behavioral therapy to programs
OPUM’s insights are based on validated and proprietary sensor data…
The OPUM Digital Knee® is based on years of extensive research, development and clinical evidence.
Below is a selection of our team’s peer-reviewed science:
Automatic Detection and Recognition of Rehabilitative Activities using a Smart Knee Brace
A Davis. OPUM & The University of Auckland Thesis. Auckland 2019
End-User Evaluation of a Smart Knee Brace
A Alder, S Ward and A J McDaid. 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Berlin, Germany 2019
Digital Technology to Monitor Rehabilitation Outcomes After Knee Injury: A Case Study
A Alder, S Ward and A J McDaid 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Berlin, Germany 2019
Sensor Validation of a Smart Knee Brace
A Alder, D Wells, P Hume and A J McDaid 11th Australasian Biomechanics Conference, 2018
Validation of Automated Clinical Gait Assessment Using a Smart Knee Brace
A Alder, A Davis and A J McDaid 11th Australasian Biomechanics Conference, 2018
Soft-Stop Knee Brace for Rehabilitation from Ligament Injuries: Design and Pilot Trial
J Greenfield, H Hwang, C Davies and A J McDaid IEEE 15th International Conference on Rehabilitation Robotics, London, UK July 2017
OPUM Patents
PCT/NZ2018/050085
PCT/NZ2019/050110
PCT/NZ2019/050111
NZ/759643
NZ/759654
NZ/759887
OPUM is Continuously Innovating. Current Studies Include
The impact of sensor technology in individuals with knee OA
Site: Shirley Ryan Ability Lab, Chicago (#1 Rehabilitation Hospital in US)
Industry Partner: Thuasne Group
Evaluation of rehabilitation following ACL reconstruction using OPUM digital care platform
Site: Stanford University
Industry Partner: Confidential
Psychoeducation and digital management of OA to delay or prevent knee replacement
Site: The University of Auckland
Remote patient management pre/post ACL surgery rehabilitation
Site: AUT University
Want to know more?
If you’d like to learn more about the OPUM data analytics platform, reach out!
Email direct to andrew.mcnaughton@opumtechnologies.com or fill out the form below.