Advanced Functional Mobility Outcomes Registry and Predictive Analytics
This innovation is a comprehensive data registry and algorithmic analysis system designed to track and predict outcomes for individuals using mobility assistive equipment. By integrating standardized patient-reported measures with a uniform dataset of clinical and environmental factors, it enables evidence-based selection of mobility devices to improve long-term health and functional participation.
Description
The technology centers on a unique Minimum/Uniform Dataset (M/UDS) that complements the Functional Mobility Assessment (FMA), a validated 10-item patient-reported outcome measure. While the FMA captures a user's perceived satisfaction with performing daily mobility activities, the M/UDS records critical variables such as diagnosis, age, living situation, employment, and transportation resources. This combined system utilizes a specific longitudinal administration protocol; collecting data at initial evaluation, 21 days post-delivery, 90 days, and annually thereafter to create a dynamic profile of the user’s progress. The core innovation lies in the algorithmic processing of this large-scale registry data. The system analyzes how specific mobility devices (such as wheelchairs, prosthetics, or orthotics) interact with individual patient factors to predict outcomes like hospital readmissions, the prevalence of falls, and the incidence of pressure sores. This transforms subjective clinical observations into an objective, predictive model that helps clinicians and payers determine the most effective interventions for specific populations under varying conditions.Applications
- Accountable Care Organizations (ACOs): Systems to track high-risk patient populations and intervene early to manage costs and improve care quality.- Medical Insurance Carriers: Data-driven tools for developing coverage policies and evaluating the comparative effectiveness of mobility assistive equipment.
- Mobility Equipment Suppliers: Quality assurance and program development platforms to demonstrate superior patient outcomes and secure provider contracts.
- Rehabilitation Clinical Networks: Standardized outcome management systems for large-scale physical medicine and rehabilitation practices.
- Clinical Research and Registries: Validated datasets for performing longitudinal studies on community participation and the impact of assistive technology.
Advantages
- Preventative Care Model: Enables clinicians to identify and resolve potential issues like pressure sores or functional decline before they become catastrophic and costly.- Predictive Outcome Analytics: Uses a large-scale database to predict which mobility devices will work best for specific patients based on their diagnosis and lifestyle.
- Reduced Medical Complications: Focused on decreasing secondary complications, including hospital admissions and readmissions related to mobility issues.
- Standardized Benchmarking: Provides a unique and consistent means of measuring variables across large populations, a capability that previously did not exist in the mobility equipment field.
- Evidence for Reimbursement: Generates the objective data and reports sought by third-party payers to justify the medical necessity and effectiveness of specific devices.