Computerized System and Method of Open Account Processing
AssigneeCrowe LLP
InventorsKevin Jarrett, Eric Boggs, Cory Herendeen
Life of this patent
Estimating the term…
Abstract
A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts. These patterns are then applied to a facility's current transaction data providing next step resolution to each patient account.
Claims20
An apparatus comprising:
- a storage device;
- and
- at least one processor coupled to the storage device, wherein the storage device stores a program for controlling the at least one processor, and wherein the at least one processor, being operative with the program, is configured to:
- create a machine learning model for predicting resolutions to open accounts by:
- obtaining training data representative of historical account transactions between a plurality of patients and a healthcare facility;
- analyzing the training data to create the machine learning model configured to make predictions representative of resolutions of open account transactions;
- applying the machine learning model to predict resolutions of a plurality of open account transactions by:
- making predictions on a level of human interaction needed to resolve the plurality of open account transactions using the machine learning model;
- and
- electronically resolving at least a portion of the open accounts based on predictions made by the machine learning model.
A method of creating a machine learning model for resolving open account issues, the method comprising the steps of:
- obtaining training data representative of historical account transactions between a plurality of patients and a healthcare facility;
- and
- analyzing the training data to create the machine learning model configured to make predictions representative of resolutions of open account transactions.
Dependencies are inferred from the claim text.