US 11,810,165 B1
Computerized time-series analysis for inference of correlated input modifications
Joseph Bentivegna, New York, NY (US); Itzchak J. Palka, New York, NY (US); Eetai Ben-Sasson, Brooklyn, NY (US); and Vivek Pandey, North Arlington, NJ (US)
Assigned to Cigna Intellectual Property, Inc., Wilmington, DE (US)
Filed by Cigna Intellectual Property, Inc., Wilmington, DE (US)
Filed on Dec. 16, 2020, as Appl. No. 17/123,937.
Application 17/123,937 is a continuation of application No. 17/123,855, filed on Dec. 16, 2020.
Int. Cl. G06Q 30/04 (2012.01); G16H 10/00 (2018.01)
CPC G06Q 30/04 (2013.01) [G16H 10/00 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computerized analysis system for automated anomaly identification, the system comprising:
processor hardware; and
memory hardware configured to store instructions that, when executed by the processor hardware, cause the processor hardware to perform operations, wherein the operations include:
operating the system at a large scale by retrieving claimline data for a period of time from an input data store, wherein the claimline data includes a plurality of billing codes and prices of the plurality of billing codes associated with a provider,
wherein the large scale includes at least 10,000 records;
flagging and filtering anomalous price spikes in the claimline data;
determining whether a changepoint exists in the plurality of billing codes in the claimline data;
identifying a chargemaster increase for the provider in response to a statistical parameter of changepoints exceeding a threshold; and
in response to identification of the chargemaster increase, publish publishing an alert that the chargemaster increase has occurred for the provider.