An Artificial Intelligence solution to automate medical billing processing/adjudication for healthcare providers, with the primary aim of minimizing denials, rejections and adjustments.

DeepClaim also ensures that the recovered (paid amount) for each Medical Claim is maximized and as close to the allowed amount as possible, leading to increased revenues and reduced waste and losses.

All of this is achieved by training DeepClaim with historical billing data, which will empower it to detect anomalies in real-time, correcting issues found in the claims as well as maximizing your allowed amounts before they are submitted for adjudication.

Humans are incapable of accurately processing and collating the millions of data points involved with thousands of complicated hospital encounters. The resultant billing cycle is almost always flawed.

Regardless of their proficiency, administrators are often unable to correlate and manage extensive data volumes, while accurately coding and completing the large volume of service line items required each day.

Our AI models inside DeepClaim were created with the sole purpose of automating Claims adjudication accurately, correcting all the required service lines with 100% accurate coding and attachments, millions of times per day 24x7, 365 days of the year.