Method for assimilating and using pharmacy data

• US 7,606,722 B2
• Filed: 10/08/2003
• Issued: 10/20/2009
• Est. Priority Date: 10/08/2002
• Status: Active Grant

• Current Assignee: Omnicare Incorporated (CVS Health Corporation)
• Original Assignee: Omnicare Incorporated (CVS Health Corporation)
• Inventors: Kalies, Ralph F.
• Primary Examiner(s): O'Connor; Gerald J.
• Assistant Examiner(s): Altschul; Amber L
• Application Number:
  US10/682,157
• Publication Number:
  US 20040148196A1
• Time in Patent Office: 2,204 Days
• Field of Search: 705/1, 705/2, 705/3, 705/4
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 20/20 Point-of-sale [POS] network systems
• CPC Class Codes: G06Q 20/203 Inventory monitoring
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A method for assimilating and using pharmacy data to determine actual consumption of medications from particular sources, such as pharmaceutical companies. Transaction records are accumulated and correlated, and medication dispensing and usage data is extracted to determine actual consumption information. In an alternate embodiment, the transaction records and dispensing data are examined for identifiable usage patterns. The patterns form the basis for a set of rules that can then be used to calculate actual consumption data from transaction records.

Claims

1. A method of a processor determining consumption of medication dispensed pursuant to a prescription for medication at one or more pharmacies, the method comprising the steps of:

a) the processor obtaining over a communication network a plurality of electronic medication dispensation transaction records from the one or more pharmacies in response to a request for the transaction records;

b) the processor correlating the obtained medication dispensation transaction records to the prescription;

c) the processor extracting medication dispensing data and medication usage data from the correlated medication dispensation transaction records, wherein the medication usage data includes an amount of medication in the prescription that has been returned or not consumed;

d) the processor consolidating medication dispensing data and medication usage data related to the same prescription dispensed at all of the one or more pharmacies;

e) the processor identifying at least one pattern in the medication dispensing data and medication usage data;

f) the processor formulating at least one logical rule from the pattern for calculating medication actual consumption data;

g) the processor testing the at least one logical rule for accuracy on at least one subsequent transaction record; and

h) the processor calculating medication actual consumption data pursuant to the at least one logical rule comprising;

i) at least one of a plurality of sources for the medications dispensed, wherein the plurality of sources include a plurality of pharmaceutical companies; and

ii) at least a portion of the actual consumption of the medication that is respectively attributable to at least one of the plurality of sources.

2. A method according to claim 1, further comprising the steps of

a) compiling the transaction records;

b) communicating the transaction records to a data repository; and

c) storing the transaction records in a data warehouse of the data repository.

3. A method according to claim 2, further comprising the steps of:

a) receiving a query for actual consumption data from a requestor;

b) generating a report responsive to the query; and

c) communicating the report to the requestor.

4. A method according to claim 3, wherein the query and the report are communicated via an electronic communications network.

5. A method according to claim 4, wherein the report is encrypted by the data repository before communicating it to the requestor, and wherein the requestor decrypts the report after receiving it.

6. A method according to claim 4, further comprising the step of adding security measures to prevent unauthorized access to the query and report.

7. A method according to claim 2, wherein the transaction records are communicated via an electronic communications network.

8. A method according to claim 7, wherein the electronic communications network is an intranet.

9. A method according to claim 7, further comprising the step of adding security measures to prevent unauthorized access to the transaction records.

10. A method according to claim 1, further comprising the steps of:

a) identifying at least one market for at least one selected medication, for at least one selected source of the plurality of sources;

b) periodically calculating actual consumption data for the selected medication;

c) periodically communicating actual consumption data to the selected source; and

d) computing an incentive to be received from the selected source, the value of which correlates to a change in market share for the selected medication in favor of the selected source, as shown by the calculated actual consumption data.

11. A method according to claim 10, wherein the actual consumption data is communicated to the source via an electronic communications network.

12. A method according to claim 1, wherein the step of identifying at least one pattern in the medication dispensing data and medication usage data further includes identifying exceptions to the pattern.