Real-time documentation verification using artificial intelligence and machine learning
AssigneeOrbit Healthcare, Inc.
InventorKrishna VELAGA
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AssigneeOrbit Healthcare, Inc.
InventorKrishna VELAGA
Estimating the term…
A method to verify documentation, such as healthcare documentation, in real-time is described. An image of a first document and demographic information is received from a patient. Optical character recognition (OCR) or QR code, barcode, or machine readable zone (MRZ) reading is performed on the image of the first document and a patient identifier is extracted from the first document. The patient identifier is compared to content in a database to identify a second document related to the first document that shares the patient identifier with the first document. The first document and the second document are verified as being associated with the patient based on the comparison and predefined business rules. OCR errors are identified in the first document and corrected using content from the second document. The method occurs prior to and allows the patient to pay for a healthcare appointment prior to attending the appointment.
A system configured to verify documentation in real-time, the system comprising:
A method executed by a system to verify documentation in real-time, the method comprising:
A computer system comprising one or more processors, one or more memories, and one or more computer-readable hardware storage devices, the one or more computer-readable hardware storage devices containing program code executable by the one or more processors via the one or more memories to implement a method to verify documentation in real-time, the method comprising:
Dependencies are inferred from the claim text.