Management of resource exchange for collateralized medical claims

A system to manage resources associated with a secondary client, the system comprising:

• a database;
• and
• data processing circuitry communicatively coupled with the database, wherein the data processing circuitry is configured to:
• retrieve, from the database, a resource exchange entry corresponding to exchange of the resources for one or more collateralized medical claims associated with a medical facility;
• retrieve a set of input parameters from each medical claim of the one or more collateralized medical claims, wherein the set of input parameters for each medical claim comprises a claim age value of the medical claim and a days to pay (DTP) value for the medical claim;
• determine, through a first Machine Learning (ML) model trained using a historical claim data, a risk score and a collateral value for each medical claim of the one or more collateralized medical claims, wherein the risk score and the collateral value dynamically change based on at least one of a variation in the claim age value of the medical claim, the DTP value for the medical claim, and a new claim settlement entry in the historical claim data;
• determine a net collateral value of the one or more medical claims by summing the collateral value of each medical claim;
• determine whether the risk score of a first medical claim of the one or more collateralized medical claims exceeds a risk score threshold value;
• remove the first medical claim from the one or more medical claims in response to the determination that the risk score of the first medical claim exceeds the risk score threshold value;
• and
• update the net collateral value of the one or more collateralized medical claims based on the removal of the first medical claim from the one or more collateralized medical claims.

A computer-program product for managing resources associated with a

• secondary client, the computer program product comprising computer-executable instructions that are stored on a non-transitory computer-readable medium and that, when executed by data processing circuitry performs operations comprising:
• retrieving, from a database, a resource exchange entry corresponding to exchange of the resources for one or more collateralized medical claims associated with a medical facility;
• retrieving a set of input parameters from each medical claim of the one or more collateralized medical claims, wherein the set of input parameters for each medical claim comprises a claim age value of the medical claim and a days to pay (DTP) value for the medical claim;
• determining, through a first Machine Learning (ML) model trained using a historical claim data, a risk score and a collateral value for each medical claim of the one or more collateralized medical claims, wherein the risk score and the collateral value dynamically change based on at least one of a variation in the claim age value of the medical claim, the DTP value for the medical claim, and a new claim settlement entry in the historical claim data;
• determining a net collateral value of the one or more medical claims by summing the collateral value of each medical claim;
• determining whether the risk score of a first medical claim of the one or more collateralized medical claims exceeds a risk score threshold value;
• removing the first medical claim from the one or more medical claims in response to the determination that the risk score of the first medical claim exceeds the risk score threshold value;
• and
• updating the net collateral value of the one or more collateralized medical claims based on the removal of the first medical claim from the one or more collateralized medical claims.