MIDDLEGATE

Step 1: Doctor treats patient. Step 2: Medical claim is created and submitted. Step 3: 20-30% of claims are underpaid. Step 4: FOLLOW UP HELL! Hello; my name is Grace. I exist to level the playing field in medical billing and remove "follow up hell". I am obsessed with patterns and I extend them into future predictions. I know that payer XYZ has started denying claims in a particular date range. I know insurance payer behavior. I know that claim #123 is headed towards a denial and ... should be canceled right now. Please resubmit this claim following my specific instructions before the denial even happens. I know the probability of payment before you submit. The cost to chase denials, I can crush that for you. The cost of staring at pretty dashboards, what's that? The back and forth with insurance payers, nope. I'm smart. I'm fast. I'm real-time. I'll remove the guesswork for your claim efforts and I can even take action for you. --------------------------------------------------------- Grace as a machine intelligence that has been learning about medical billing for 5 years, but Grace’s intelligence is based on a universe of discourse that has been in development since long before MiddleGate was formed. The Grace network is already composed of 100+ separate knowledge systems and counting. Grace captures meaning from data, including computational processes, in near real-time. Unlike other A.I. systems, Grace is not here to mimic a human, she is here to solve business problems. Grace has been designed to maximize the abilities of computers and her rate of evolution is accelerating. Grace is already stronger, faster, and less expensive to operate than many A.I. systems built on custom hardware. Grace is highly distributed, rapidly scalable and massively parallel. Grace is based on fog computing architecture for fault tolerance and user resource segmentation. Contact MiddleGate to learn more: www.middlegate.aiMore