Purchasing Trading Partners Feedback Process for Purchase Practice Refinement

• US 20120239463A1
• Filed: 07/29/2011
• Published: 09/20/2012
• Est. Priority Date: 03/18/2011
• Status: Abandoned Application

• Current Assignee: S/T Health Group Consulting Incorporated
• Original Assignee: S/T Health Group Consulting Incorporated
• Inventors: Wertz, David, Tulio, Richard, Shivitz, Guy M.
• Application Number:
  US13/193,869
• Publication Number:
  US 20120239463A1
• Time in Patent Office: Days
• US Class Current: 705/7.39
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change

Abstract

Systems and methods for refining repetitive purchases using historical feedback and contractual data are disclosed. For example, parties to a pharmaceutical purchase transaction typically include one or more of a Group Purchasing Organization (GPO), vendor or manufacturing drug company, wholesaler, and a purchaser, such as a hospital or hospital group. In a typical pharmaceutical purchase transaction, several (possibly inconsistent) agreements can be in place between the parties to the transaction. Disclosed are methods and systems to collect, from a plurality of data sources, information pertaining to negotiated contract prices of pharmaceutical and surgical supplies. Also disclosed is a periodic process to provide purchasing suggestions and receive further feedback from purchasers and suppliers to refine the activities of the purchaser and/or supplier. For example, a purchaser could be informed of a different order placement option which could result in a cost savings based on currently available pricing/purchase agreements.

Claims

1. A method of generating a periodic purchase report outlining non-compliant or non-optimal purchases using a computer system comprising one or more processors, the method comprising:

obtaining contract information pertaining to pricing available to a purchasing entity, as made available through a contract portfolio;

obtaining purchase history information comprising purchases made by the purchasing entity, the purchase history information comprising information pertaining to analysis of previous non-compliant or non-optimal purchases;

analyzing, on the one or more processors, the purchase history information versus alternative purchasing possibilities defined in the contract portfolio;

identifying instances where a different purchase choice could have resulted in a lower cost for the purchasing entity, wherein the identifying of instances are based, in part, on the purchase history information; and

collecting the identified cases into a report for presentation to the purchasing entity.

2. The method of claim 1, wherein analyzing the purchase history information comprises using normalized data keyed by a unique product identifier.

3. The method of claim 2 wherein the unique product identifier is selected from the group consisting of barcode number, national drug code (NDC), universal product code (UPC), stock number, catalog item number and product item number.

4. The method of claim 1, wherein identifying cases comprises identifying an alternative packaging option for a substantially similar item purchase.

5. The method of claim 1, wherein the purchasing entity is selected from the group consisting of:

a hospital, a group of hospitals, a hospital pharmacy, a retail or ambulatory pharmacy, and a long term care pharmacy.

6. The method of claim 1, further comprising transmitting at least a portion of the collected identified cases to a distributor servicing the purchasing entity.

7. The method of claim 1, wherein identifying cases comprises identifying a generically equivalent drug.

8. The method of claim 1, wherein identifying cases comprises identifying a therapeutically equivalent drug.

9. The method of claim 1, wherein identifying cases comprises identifying an alternative purchase with a different dosage form or route of administration.

10. The method of claim 9, wherein the different dosage form is selected from the group consisting of tablet, capsule, oral liquid, and suppository.

11. The method of claim 9, wherein the different route of administration is selected from the group consisting of oral, topical, and injectable.

12. The method of claim 1, wherein the report comprises feedback fields for the purchasing entity to comment on non-compliant or non-optimal purchases identified in the report.

13. The method of claim 1, further comprising presenting the report for presentation to the purchasing entity via email.

14. The method of claim 1, further comprising presenting the report for presentation to the purchasing entity via one or more web pages.

29. A computer network comprising:

a plurality of processing units communicatively coupled to a computer network; and

a first processing unit configured to perform at least a portion of the method of claim 1 wherein the entire method of claim 1 is performed collectively by the plurality of processing units.

15. A method of processing a non-compliant or non-optimal purchase report, on one or more programmable processing units, to provide feedback relative to a purchasing entity, the method comprising:

receiving a feedback report from a purchasing entity wherein the report comprises at least one completed reason code in a feedback field associated with a non-compliant or non-optimal item purchase record, the item purchase record also associated with a first unique product identifier;

identifying, using one of the one or more programmable processing units, at least one item purchase record from a second purchasing entity in an overlapping time period corresponding to the first unique product identifier;

determining instances where the first purchasing entity provided a reason code of manufacturer back order (MBO) and the item purchase record from the second purchasing entity indicates a non back order status; and

saving the determined instances to a memory.

16. The method of claim 15 wherein the unique product identifier is selected from the group consisting of barcode number, national drug code (NDC), universal product code (UPC), stock number, catalog item number and product item number.

17. The method of claim 15 wherein the overlapping time period comprises an equivalent number of overlapping days.

30. A computer network comprising:

a plurality of processing units communicatively coupled to a computer network; and

a first processing unit configured to perform at least a portion of the method of claim 15 wherein the entire method of claim 15 is performed collectively by the plurality of processing units.

18. A method of processing a non-compliant or non-optimal purchase report from a purchasing entity, on one or more programmable processing units, to provide feedback relative to a first distribution center, the method comprising:

receiving a feedback report from a purchasing entity wherein the report comprises at least one completed reason code in a feedback field associated with a non-compliant or non-optimal item purchase record, the item purchase record also associated with a first unique product identifier;

identifying, using one of the one or more programmable processing units, at least one item purchase record from a second purchasing entity in an overlapping time period also corresponding to the first unique product identifier, wherein the first purchasing entity and the second purchasing entity are serviced by a common distributor;

determining instances where the first purchasing entity provided a reason code of not stocked at a first distribution center;

identifying at least one instance where the second purchasing entity did not provide a reason code of not stocked at a second distribution center; and

calculating a potential cost savings across the group of purchasing entities if the first distribution center had stocked the item corresponding to the first unique product identifier at sufficient quantities for purchases by the group of purchasing entities serviced by the first distribution center.

19. The method of claim 18 wherein the unique product identifier is selected from the group consisting of barcode number, national drug code (NDC), universal product code (UPC), stock number, catalog item number and product item number.

31. A computer network comprising:

a plurality of processing units communicatively coupled to a computer network; and

a first processing unit configured to perform at least a portion of the method of claim 18 wherein the entire method of claim 18 is performed collectively by the plurality of processing units.

20. A method of processing a non-compliant or non-optimal purchase report, on one or more programmable processing units, to provide feedback relative to a purchasing entity, the method comprising:

receiving a feedback report from a first purchasing entity wherein the report comprises at least one completed reason code in a feedback field associated with a non-compliant or non-optimal item purchase record, the item purchase record also associated with a unique product identifier;

determining instances where the first purchasing entity provided a reason code indicating hospital preference;

analyzing the comment field associated with the item purchase record corresponding to the reason code indicating hospital preference;

determining if the comment field contains a valid rationale for hospital preference status; and

storing a status indicating a result of the comment field analysis.

21. The method of claim 20 wherein the unique product identifier is selected from the group consisting of barcode number, national drug code (NDC), universal product code (UPC), stock number, catalog item number and product item number.

22. The method of claim 20 further comprising:

receiving an indication that the comment field contains a valid rationale for hospital preference; and

updating a database with an indication to suppress further flagging of purchases of items corresponding to the first unique product identifier as non-optimal or non-compliant.

23. The method of claim 20 further comprising:

receiving an indication that the comment field contains a possibly invalid rationale for hospital preference; and

flagging the item purchase record for possible further review to determine if hospital preference status is acceptable.

24. The method of claim 23 further comprising:

receiving an indication that the comment field contains a valid rationale for hospital preference; and

updating a database with an indication to suppress further flagging of purchases of items corresponding to the first unique product identifier as non-optimal or non-compliant.

25. The method of claim 22 wherein the indication to suppress indicates to suppress only for the first purchasing entity.

26. The method of claim 24 wherein the indication to suppress indicates to suppress only for the first purchasing entity.

27. The method of claim 22 wherein the indication to suppress indicates to suppress for all purchasing entities that are members of a group of purchasing entities including the first purchasing entity.

28. The method of claim 24 wherein the indication to suppress indicates to suppress for all purchasing entities that are members of a group of purchasing entities including the first purchasing entity.

32. A computer network comprising:

a plurality of processing units communicatively coupled to a computer network; and

a first processing unit configured to perform at least a portion of the method of claim 20 wherein the entire method of claim 20 is performed collectively by the plurality of processing units.