System and method for a new prescription scan

• US 10,074,076 B2
• Filed: 02/26/2014
• Issued: 09/11/2018
• Est. Priority Date: 02/26/2014
• Status: Active Grant

• Current Assignee: Walgreen Co. (Walgreens Boots Alliance Incorporated)
• Original Assignee: Walgreen Co. (Walgreens Boots Alliance Incorporated)
• Inventors: Weiss, Benjamin, Turkington, Jon, Crouch, Adam, Majka, Rich, Singh, Atul
• Primary Examiner(s): Lam, Eliza A
• Application Number:
  US14/190,323
• Publication Number:
  US 20150242592A1
• Time in Patent Office: 1,658 Days
• Field of Search: 705 2- 3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method and system may provide a new prescription order interface and service which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or a mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent. The new prescription system and method may be accessed through a series of web pages and/or via an application running on a web-enabled device.

Claims

1. A method of detecting fraud when filling a new prescription order for one or more prescription medications, the method executed by one or more computer processors programmed to perform the method, the method comprising:

storing, for each of a plurality of customers, a customer record comprising a customer identifier indicative of a customer;

storing, for each of a plurality of prescribers, one or more signatures associated with a prescriber;

receiving, at the one or more processors, from a web-enabled device of a customer, over a network, an image of a new paper prescription for the customer, wherein the image of the new paper prescription is captured by a camera in the web-enabled device, and a customer identifier for the customer;

determining, by the one or more processors, a pharmacy at which to fill a new prescription order corresponding to the new paper prescription;

determining, by the one or more processors, prescription data based on the image of the new paper prescription, wherein the prescription data includes an identification of a prescriber who wrote or printed the new paper prescription;

comparing, by the one or more processors, a signature in the image of the new paper prescription to the one or more stored signatures associated with the prescriber;

determining, by the one or more processors, a first risk of prescription fraud based on the compared signatures;

determining, by the one or more processors, a location of the web-enabled device using a geolocation device included in the web-enabled device, a location of the pharmacy, and a location of the prescriber;

determining, by the one or more processors, a second risk of prescription fraud by assigning weights to a plurality of distances between the location of the web-enabled device, the location of the pharmacy, and the location of the prescriber and combining the plurality of distances and the assigned weights to generate a score indicative of the second risk of prescription fraud;

combining, by the one or more processors, the first and seconds risks of prescription fraud to generate an overall risk of prescription fraud;

when the overall risk of prescription fraud does not exceed a threshold amount of risk, transmitting, from the one or more processors and via the network, information to be displayed in an order review page on the web-enabled device; and

receiving, at the one or more processors, from the web-enabled device and via the network, a confirmation to submit the new prescription order, so that a medication corresponding to the new prescription order can be prepared at the determined pharmacy and provided to the customer.

2. The method of claim 1, wherein determining a pharmacy at which to fill the new prescription order comprises retrieving from a database, for each customer identifier, a record storing a default pharmacy.

3. The method of claim 1, wherein determining a pharmacy at which to fill the new prescription order comprises:

receiving geolocation information generated by the geolocation device;

determining one or more pharmacies within a predetermined distance from a location indicated by the geolocation information; and

receiving a selection by the customer of one of the one or more pharmacies.

4. The method of claim 1, wherein prescription data includes at least one of a practice name, a prescriber name, a prescriber signature, a prescriber phone number, a prescriber address, a DEA number, a dosage, a day supply, a number of refills prescribed, or a prescription date.

5. The method of claim 1, wherein determining the second risk of fraud comprises assigning a score to the second risk of fraud based on the determined plurality of distances, and when the assigned score to the second risk of fraud exceeds a predetermined number:

transmitting, from the one or more processors and via the network, at least one of an alert to a pharmacist in the pharmacy, an alert to a loss/prevention and compliance officer, or a rejection of the new prescription order.

6. The method of claim 1, wherein transmitting information to be displayed in an order review page comprises transmitting data corresponding to the pharmacy, a default pickup time and a default pickup date.

7. The method of claim 1, further comprising:

electronically transmitting, from the one or more processors and via the network, the new prescription order to the selected pharmacy; and

electronically notifying, by the one or more processors and via the network, the customer that the new prescription order is ready to be picked up.

8. The method of claim 1, further comprising:

storing, for each of a plurality of prescribers, one or more prescriptions written or printed by a prescriber, wherein each prescription is for one or more prescription medications;

determining, by the one or more processors, for the prescriber who wrote or printed the new paper prescription, a list of one or more prescriptions which the prescriber prescribes most frequently;

determining, by the one or more processors, whether a prescription medication in the new paper prescription is the same as one of the one or more prescription medications in the list;

when the prescription medication in the new paper prescription is the same as one of the one or more prescription medications in the list;

determining, by the one or more processors, prescription data based on a stored prescription for the one of the one or more prescription medications in the list.

9. A system for detecting fraud when filling a new prescription order for one or more prescription medications, the system comprising:

a communication network; and

one or more server computers communicatively coupled to the communication network, at least one of the server computers configured to;

store for each of a plurality of customers, a customer record comprising a customer identifier indicative of a customer;

store for each of a plurality of prescribers, one or more signatures associated with a prescriber;

receive from a web-enabled device communicatively coupled to the communication network, an image of a new paper prescription for a customer, wherein the image of the new paper prescription is captured by a camera in the web-enabled device, and a customer identifier for the customer;

determine a pharmacy at which to fill a new prescription order corresponding to the new paper prescription;

determine prescription data based on the image of the new paper prescription, wherein the prescription data includes an identification of a prescriber who wrote or printed the new paper prescription;

compare a signature in the image of the new paper prescription to the one or more stored signatures associated with the prescriber;

determine a first risk of prescription fraud based on the compared signatures;

determine a location of the web-enabled device using a geolocation device included in the web-enabled device, a location of the pharmacy, and a location of the prescriber;

determine a second risk of prescription fraud by assigning weights to a plurality of distances between the location of the web-enabled device, the location of the pharmacy, and the location of the prescriber and combining the plurality of distances and the assigned weights to generate a score indicative of the second risk of prescription fraud;

combine the first and seconds risks of prescription fraud to generate an overall risk of fraud;

when the overall risk of prescription fraud does not exceed a threshold amount of risk, transmit to the web-enabled device from the server computer, via the network, information to be displayed in an order review page on the web-enabled device; and

receive from the web-enabled device, via the network, a confirmation to submit the new prescription order, so that a medication corresponding to the new prescription order can be prepared at the determined pharmacy and provided to the customer.

10. The system of claim 9, wherein to determine a pharmacy at which to fill the new prescription order, the server computer is configured to retrieve from a database, for each customer identifier, a record storing a default pharmacy.

11. The system of claim 9, wherein to determine a pharmacy at which to fill the new prescription order, the server computer is configured to:

receive from the web-enabled device, via the network, geolocation information generated by the geolocation device;

determine one or more pharmacies within a predetermined distance from a location indicated by the geolocation information; and

receive from the web-enabled device, via the network, a selection by the customer of one of the one or more pharmacies.

12. The system of claim 9, wherein prescription data includes at least one of a practice name, a prescriber name, a prescriber signature, a prescriber phone number, a prescriber address, a DEA number, a dosage, a day supply, a number of refills prescribed, or a prescription date.

13. The system of claim 9, wherein to determine the second risk of fraud, the server computer is configured to:

assign a score to the second risk of fraud based on the determined plurality of distances; and

when the assigned score to the second risk of fraud exceeds a predetermined number;

transmit via the network, at least one of an alert to a pharmacist in the pharmacy, an alert to a loss/prevention and compliance officer, or a rejection of the new prescription order.

14. The system of claim 9, wherein to transmit information to be displayed in an order review page, the server computer is configured to transmit data corresponding to the pharmacy, a default pickup time and a default pickup date.

15. The system of claim 9, wherein the server computer is further configured to:

electronically transmit, to the web-enabled device from the server computer, via the network, the new prescription order to the selected pharmacy; and

electronically notify, the customer from the server computer, via the network, that the new prescription order is ready to be picked up.

16. The system of claim 9, wherein the server computer is further configured to:

store for each of a plurality of prescribers, one or more prescriptions written or printed by a prescriber, wherein each prescription is for one or more prescription medications;

determine for the prescriber who wrote or printed the new paper prescription, a list of one or more prescriptions which the prescriber prescribes most frequently;

determine whether a prescription medication in the new paper prescription is the same as one of the one or more prescription medications in the list;

when the prescription medication in the new paper prescription is the same as one of the one or more prescription medications in the list;

determine prescription data based on a stored prescription for the one of the one or more prescription medications in the list.