DARI : The 5 Step Process
DARI has built a variety of applications and data models to help reduce the burden of motion health for our community of users. Below is an overview of the current solutions offered. If you would like to learn more, click above to schedule an online demo. We are happy to discuss our applications built to fit your needs.
Each step through the DARI process helps illustrate an advancement in Motion Health technology. Review each step and the corresponding technologies below to better understand the DARI ecosystem.
+ Session manager - Allows you to keep track of each subject's captured data.
+ Create custom fields to help allow you to better define your population.
+ Asynchronous session creation allows you to optimize your workflow.
+ Processing portal - Allows you direct access to DARI's processing engine.
+ Web portal - Allows access to your data anywhere in the world.
+ Skeleton acquisition in less than 5 seconds.
+ A Standardized skeleton to remove human error and increase repeatability.
+ Fully body kinematic and kinetics. Always.
+ Protocol design and implementation. Only collect what you need.
+ Researched and 3rd party validated.
DARI Health : SAGE
+ Rapid Clinical documentation. Determine medical necessity in seconds.
+ "One click" annotations to help reduce your documentation time.
+ Free form documentation to tell your perfect story about the patient.
+ Synchronized video and data to deliver the most clear message.
+ Report of findings report creation. Aggregating all your annotations for the session.
+ The Motion Age data model is an age rating metric creating a chronological age data base of normative ranges. Inside healthcare, we all know that as we age our physical dexterity also demises. Understanding just how much we change as we age used to be unknown due to the amount of data needed to determine that change. With DARI Motion's "Motion Age" data model it is finally possible.
+ The Joint Vulnerability model is designed to review you against the normative range. The DARI database has over 1 million files to help create this range. Specifically, it uses hundreds of variables across a variety of movement to help tell a simple story of whether your joint motions are in a normative range. It helps any user better understand where to look closer in more detailed reports without having to be a PhD in biomechanics.
+ The Readiness model is designed to compare you to you. Utilizing an anthropometric approach, readiness is a cumulative data reduction model that utilizes other data models across a variety of movement to help tell a simple story of whether your body is ready/prepared for movement. This is a singular overview metric to help communicate the status of a subject.
+ Athleticism is a cumulative data reduction model that uses other data models across a variety of movements to help tell a simple story of whether your empirical measurements for performance are high or low compared to population ranges (higher is better). This is like ‘Readiness’, but rather than an internal comparison, it is an external comparison. This is a singular (overview) metric to help communicate the overall performance of the subject.
+ Clinical data is a breakdown of all possible biomechanical signals from motion capture and funneled into the most relevant data for clinical applications. This process takes 40,000 data points per movement and delivers 400 total data points of clinical focus. From this, healthcare staff can work to apply the most repeatable signals to documenting clinical outcomes.