US 12,333,610 B1
Integrated data and predictive outputs for small business healthcare solutions
David F. Berg, Phoenix, AZ (US)
Assigned to Redirect Health, Inc., Scottsdale, AZ (US)
Filed by Redirect Health, Inc., Scottsdale, AZ (US)
Filed on Feb. 23, 2024, as Appl. No. 18/585,917.
Application 18/585,917 is a continuation of application No. 18/495,968, filed on Oct. 27, 2023.
Application 18/585,917 is a continuation of application No. 18/495,978, filed on Oct. 27, 2023.
Claims priority of provisional application 63/421,364, filed on Nov. 1, 2022.
Claims priority of provisional application 63/421,935, filed on Nov. 2, 2022.
Claims priority of provisional application 63/448,551, filed on Feb. 27, 2023.
Claims priority of provisional application 63/448,522, filed on Feb. 27, 2023.
Int. Cl. G06Q 40/00 (2023.01); G06Q 40/08 (2012.01); G16H 20/00 (2018.01)
CPC G06Q 40/08 (2013.01) [G16H 20/00 (2018.01)] 8 Claims
OG exemplary drawing
 
1. A system for dynamic healthcare navigation, comprising;
a server computer including a data warehouse, a memory, and a processor; and
at least one database comprising at least one secure data set;
wherein the server computer further includes a platform for receiving additional information from a user device and transmit the additional information to the server computer;
wherein the platform is operable to capture an image of a bill and/or receipt and convert the image of the bill and/or receipt into a digital data set using natural language processing (NLP);
wherein the at least one database is integrated with at least one automated call center system, operable to automatically collect audio data from one or more remote user devices;
wherein the at least one automated call center system includes at least one NLP module configured to automatically transcribe and semantically analyze the collected audio data;
wherein the at least one database requires at least one authorization to access the at least one secure data set;
wherein the server computer is configured to implement the at least one authorization to access the at least one secure data set;
wherein the server computer is configured to access the at least one secure data set and store the at least one secure data set in the data warehouse;
wherein the data warehouse implements a machine learning model (MLM), wherein the MLM is configured to analyze the at least one secure data set and tag predictors within the at least one secure data set;
wherein the predictors include medical equipment implemented by a healthcare provider and data the medical equipment generates;
wherein the predictors include a price prediction for a medical appointment based on the medical equipment and the data the medical equipment;
wherein the server computer is configured to receive a request associated with the predictors within the at least one secure data set;
wherein the server computer is configured to generate a first output based on the predictors within the at least one secure data set;
wherein the server computer is configured to receive a designation of a plurality of individuals and automatically aggregate components of the at least one secure data set concerned with the designated plurality of individuals;
wherein the server computer is configured to generate a second output based on predictors for the aggregated components of the at least one secure data set;
wherein the MLM includes at least one artificial neural network (ANN);
wherein the at least one ANN includes a plurality of node layers;
wherein the plurality of node layers include an input layer, one or more hidden layers, and an output layer;
wherein each of the plurality of node layers connects to one another and includes an associated weight and threshold;
wherein an output of any one node of the plurality of node layers must exceed a specified threshold to be activated;
wherein activating the any one node of the plurality of node layers includes sending data to a next node layer of the plurality of node layers; and
wherein the at least one ANN produces the predictors.