While their standard capabilities are broad, Fi-Med has targeted RCM solution for radiology, which will eventually be expanded to other specialties. This uses AI and NLP to examine charts, pull diagnosis and procedure codes from the descriptions, and automatically assign modifiers by payer, all to simplify and streamline the billing process. Preliminary data has indicated this tool not only outperforms its AI contemporaries like 3M, but both on- and off-shore outsourcers; denials can be reduced as much as 30%, leading to a 10% overall boost in revenue.

Fi-Med is a healthcare support and management firm that leverages their 360-degree understanding of compliance, RCM, Value-Based Care, and chronic care management to assist Providers to improve cash flow and minimize their overall risk profile. Staffed by some of healthcare’s top, most seasoned professionals, they partner with clients provide SaaS models across all service lines. Fi-Med stands out as a more effective, targeted, and nimble alternative to their manually or EHR-driven counterparts. Sporting their own team of solution developers that enable significant client customization, and a willingness to truly approach client relations as a partnership, they afford their clients significantly broader flexibility and responsiveness. That high-touch ethos has enabled them to win several distinguished awards throughout the years, and has attracted the likes of Mount Sinai, CommonSpirit Health, Univ of Alabama, Riverside and many others.

Momentum Spine is an AI-based digital health application to monitor spinal deformities remotely. The mobile application employs smartphone cameras to recreate a true-to-scale three-dimensional model of the torso from a simple 45-second video. Momentum Spine’s algorithms analyze 3D topography to predict the internal anatomy of the spine. In other words, Momentum Spine quantifies the extra-spinal deformities (what we can see from the outside with the naked eye) and correlates them to the Cobb Angle (what we can only see on X-rays) to predict the progression of the deformity. Automatic feature extraction, such as shoulder imbalance and trunk asymmetry, are also calculated to provide both the clinician and the patient with a global picture of the deformity, as physical appearance is often a significant preoccupation of these patients. Overall, instead of offering the same treatment algorithm to everyone, patients benefit from an augmented, individualized standard of care. For example, a stable patient does not need an unnecessary X-ray and hospital visit every six months; their appointment could be delayed as necessary (if and when progression is detected). Reversely, patients with progression benefit from rapid, early preventative treatment, otherwise unnoticed for months. Momentum Spine’s imagery-guided AI predictions allow physicians to stratify patients by severity, intervene timely and follow the progress of their patients closely to ensure an optimized and personalized standard of care.