Machine-Learning Driven Pricing Guidance
A data processing system for machine-learning driven price guidance implements obtaining location information indicative of a location associated with a user; obtaining prescription information for a first prescription and first cost prescription; obtaining, from one or more pharmacy benefits manage...
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creator | Chehrazi, Sina Balghonaim, Motaz Abdullah Magoon, Akash Magoon, Aman Glorioso, JR., John Joseph |
description | A data processing system for machine-learning driven price guidance implements obtaining location information indicative of a location associated with a user; obtaining prescription information for a first prescription and first cost prescription; obtaining, from one or more pharmacy benefits managers, prescription cost information for a prescription from a plurality of pharmacies; analyzing the prescription cost information, the location associated with the user, and the prescription information using a machine learning model to obtain a prescription cost information prediction indicating that a first subset of the plurality of pharmacies provide the prescription at a second prescription cost lower than the first prescription cost; providing the prescription cost information prediction to a pharmacy recommendation unit as an input; generating a prescription savings opportunity report that presents the prescription cost information; and causing a user interface of a display of a computing device to present the prescription savings opportunity report. |
format | Patent |
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obtaining prescription information for a first prescription and first cost prescription; obtaining, from one or more pharmacy benefits managers, prescription cost information for a prescription from a plurality of pharmacies; analyzing the prescription cost information, the location associated with the user, and the prescription information using a machine learning model to obtain a prescription cost information prediction indicating that a first subset of the plurality of pharmacies provide the prescription at a second prescription cost lower than the first prescription cost; providing the prescription cost information prediction to a pharmacy recommendation unit as an input; generating a prescription savings opportunity report that presents the prescription cost information; and causing a user interface of a display of a computing device to present the prescription savings opportunity report.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; 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obtaining prescription information for a first prescription and first cost prescription; obtaining, from one or more pharmacy benefits managers, prescription cost information for a prescription from a plurality of pharmacies; analyzing the prescription cost information, the location associated with the user, and the prescription information using a machine learning model to obtain a prescription cost information prediction indicating that a first subset of the plurality of pharmacies provide the prescription at a second prescription cost lower than the first prescription cost; providing the prescription cost information prediction to a pharmacy recommendation unit as an input; generating a prescription savings opportunity report that presents the prescription cost information; and causing a user interface of a display of a computing device to present the prescription savings opportunity report.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Machine-Learning Driven Pricing Guidance |
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