Patent ID: 11887707
Assignee: UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 8:
9. A method for identifying and conveying recordation and temporal inconsistencies in health care patient data pertaining to chronic illnesses, the method comprising the steps of:
accessing a plurality of digital databases using one or more processors, wherein each digital database includes digital health care data in a native format dependent on a software platform used at each healthcare facility;
transforming native digital health care data stored in the database, using the one or more processors, to a standardized format in which the native digital health care data for at least a first patient;
identifying a diagnosis code recorded in the standardized digital health care data for at least a first patient;
digitally accessing a database of diagnosis codes, wherein the database of diagnosis codes includes a list of chronic illnesses corresponding to a list of diagnosis codes;
determining the chronic illness corresponding to diagnosis code recorded in the digital health care data for the first patient;
identifying a first health care encounter date on which the chronic illness was recorded in the digital health care data for the first patient;
upon determining the first health care encounter in which the chronic illness was recorded in the digital health care data for the first patient, identifying temporally subsequent health care encounters with respect to the first health care encounter in which the chronic illness was recorded and determining if the chronic illness was recorded in the digital health care data for the first patient for each temporally subsequent health care encounter; and
as a result of determining that the chronic illness was not recorded in the digital health care data for the first patient for each temporally subsequent health care encounter, generating and sending an incompleteness alert to a user, thereby informing the user that the digital health care data for the first patient is incomplete.