Customers expect almost-instantaneous resolution to claims. Manual claims processing, while maintaining optimum levels of accuracy, creates profitability pressures for payers, leading to unforeseen delays, higher litigations, overpayments, and unsatisfied customers.
For this customer, manually auditing claims failed to stem revenue leakage and slowed down resolution times. They were looking to automate and streamline claims processes to optimize the number of human touchpoints and make the process faster and more accurate.
Manually auditing claims to check for overpayments was leading to:
Apexon brought onboard ApexClaims, a proprietary advanced analytics platform embedded with classification and anomaly detection models, to:
With ApexClaims, the customer introduced cognitive capabilities and automation across its claims adjudication process that helped them:
Learn how we assisted a leading revenue cycle management services company in the United States in identifying opportunities to improve documentation while also modifying and automating its reconciliation and quality procedures.
Learn how we helped a large physicians group based in the US use deep learning models to improve error identification by 3x and reduce financial leakage by 40%.
Automotive & Manufacturing
Discover how we helped a German engineering firm automate video labeling for their autonomous vehicle project to identify street objects and their location with over 82% accuracy.
Discover how we helped a financial advisor offering online investment advice evaluate the feasibility of their retirement plans 30 years into the future.
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