According to GlobalData’s company profile on Cigna Group, social media analytics was a key innovation area identified from patents. Cigna Group's grant share as of June 2023 was 1%. Grant share is based on the ratio of number of grants to total number of patents.

The patent filed is for a computer system with predictive analyzer module

Source: United States Patent and Trademark Office(USPTO). Credit: The Cigna Group

A recently filed patent (Publication Number: US20230185796A1) describes a computer system designed to handle fallout transaction requests. The system includes memory hardware to store a predictive analyzer module, a fallout transaction history record database, and computer-executable instructions. The database contains multiple historical fallout transaction records associated with a database entity. The processor hardware executes the instructions, which involve receiving a fallout transaction request with field values and error fields. The system determines a database search type based on the field values and error fields, accesses the historical fallout transaction records according to the search type, and searches the accessed records using the predictive analyzer module to identify matching records. If a match is found, the system updates the error field of the request and validates it before transmitting it to an automated request processor. If there is no match or unsuccessful validation, the request is sent to an administrator review fallout processor.

The computer system described in the patent is particularly useful for handling fallout transaction requests, such as electronic prescription fill requests received from a healthcare provider system. The system can also obtain automated processing throttle and count values to determine whether to transmit the updated request to the automated request processor. The system stores the updated request or the request with error fields in the fallout transaction history record database after validation. Additionally, the system can validate the updated request by transmitting it to an automated eligibility check module and receiving an eligibility determination value.

The database search type can include a name match search, where the system searches the historical records based on first name, last name, nickname, and date of birth fields. If a match is found, the system loads the patient prescription history based on the matching record. The search type can also include a date of birth (DOB) match search, where the system identifies records with the same date of birth error field as the request and derives a corrected date of birth field from the matching record. The system applies a two-digit logic to the date of birth values to determine a valid match.

The computer system can display the updated request on a user interface after successful validation. It can also handle multiple fallout transaction records, transmitting the request to the automated request processor if there is a successful validation based on a matching historical record, or sending the request with error fields to an administrator review fallout processor if there is a failed validation or no matching record.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.