US 12,456,150 B1
Methods and apparatus to estimate costs of prescriptions
Lawrence Salud, Chicago, IL (US); and August Karlstedt, San Diego, CA (US)
Assigned to WALGREEN CO., Deerfield, IL (US)
Filed by WALGREEN CO., Deerfield, IL (US)
Filed on May 10, 2023, as Appl. No. 18/195,762.
Application 18/195,762 is a continuation of application No. 16/521,290, filed on Jul. 24, 2019, granted, now 11,741,548.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 40/08 (2012.01); G06N 20/00 (2019.01); G16H 20/10 (2018.01)
CPC G06Q 40/08 (2013.01) [G06N 20/00 (2019.01); G16H 20/10 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A system to estimate a cost of a prescription for a medication, the system comprising:
one or more processors; and
one or more non-transitory memories storing processor-executable instructions that, when executed by the one or more processors, cause the system to:
receive a prescription for a medication for a patient;
receive a request for an estimated cost for the prescription for the patient from an entity;
form an input vector including prescription information for the received prescription, and payor information for the patient;
process the input vector for the received prescription, with a trained machine learning model, to determine the estimated cost of the medication for the patient, wherein the machine learning model is trained until it converges with data representing a plurality of sold prescriptions by updating the machine learning model based upon computed differences between (i) predicted costs determined by the machine learning model based on prescription information for the plurality of sold prescriptions and payor information, and (ii) actual sold costs for the plurality of sold prescriptions;
provide the estimated cost to a user device; and
deploy the updated machine learning model.