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.

Lazarus CDS leverages Artificial Intelligence to improve early cancer detection by turning a primary care doctor into a specialist for 5 minutes. For diseases like cervical cancer, this is as simple as a simple prompt that alerts physicians of high-risk patients, enabling them to make better clinical decisions. In skin cancer, we turn any mobile device into an AI-powered dermascope, automatically classifying risk based on a whole host of factors. Best of all, it's fully explainable. No black boxes, just real results.

Lazarus uses patient health data and AI to detect cancer early. The company has clinical decision support systems for skin and cervical cancer, which help improve the diagnostic accuracy of physicians.