Evolve Correspondence with Automated Inquiry Response

Healthcare communication processing faces significant challenges due to high volumes, risks of miscommunication, and time-consuming interpretation of diverse requests. These issues result in delayed patient/member care, reduced administrative efficiency, and an increased likelihood of errors.

The Challenge

A prominent healthcare payer receives 780,000 inquiries annually from providers and members about claim statuses via email, fax, and post. Each inquiry requires a review of the current claim and any related claims as well as a personal response.

The Solution

Amitech, a Naviant Company, collaborated with this payer to create a solution integrating UiPath’s Communication Mining with RPA to automate claim status inquiries. Machine learning models read and understand email inquiries, after which the system extracts the claim status and generates a templated response. Related claims and inquiries are checked for additional information. If the bot is unable to determine the status, the inquiry is rerouted to a human queue. This automation enhanced efficiency, reduced response times, and improved member satisfaction.

Implementation

The process for implementation is as follows:

  • Customer Service Warehouse (CSW): UiPath Communications mining discovers the intent of inquiries housed in the CSW.
  • P8 (Member Management System): A bot performs validations using data, including medical records, stored in P8.
  • PDF: Relevant information is copied and attached as a document to the claim status inquiry. The bot then formulates a response based on its validations.

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