System and method for targeted interventions of physician prescription practices based on deviations from expert guidelines

• US 20020143579A1
• Filed: 10/02/2001
• Published: 10/03/2002
• Est. Priority Date: 03/30/2001
• Status: Abandoned Application

• Current Assignee: Care Management Technologies, LLC
• Original Assignee: Care Management Technologies, LLC
• Inventors: Surles, Richard, Carpenter, Daniel, Docherty, John P.
• Application Number:
  US09/968,726
• Publication Number:
  US 20020143579A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 70/40 relating to drugs, e.g. their side effects or intended usage

Abstract

Systems, methods and computer program products for collecting and analyzing information relating to a physician'"'"'s prescription practice in relation to expert best practice guidelines are disclosed. Information relating to a patient specific prescription is collected and analyzed with respect to established expert best practice guidelines. When deviations from the best practice guidelines are identified a tiered intervention information is generated to the physician identifying the nature of the deviation and including suggested changes in the physician'"'"'s prescription practice.

Claims

1. A method for providing an intervention information based solely on prescription data, said method comprising the steps of:

providing a prescription data;

providing a reference guideline;

defining a comparative metric;

comparing said prescription data to said reference guideline on a basis of said metric;

computing a deviation of said metric as a difference between said prescription data and said reference guideline;

comparing said deviation to a threshold deviation; and

if said deviation exceeds said threshold deviation, providing said intervention information.

2. The method according to claim 1, wherein the prescription data comprises:

a patient name;

a health plan identification information;

a prescriber identification or DEA number;

a drug code;

a dosage;

a number of dosing units dispensed;

a number of available refills;

a prescription date; and

a prescription cost.

3. The method according to claim 1, wherein said comparative metric comprises a therapeutic duplication of an atypical drug.

4. The method according to claim 1, wherein said comparative metric comprises an excess dosing.

5. The method according to claim 1, wherein said comparative metric comprises an inadequate dosing.

6. The method according to claim 1, wherein said comparative metric comprises a drug-drug interaction.

7. The method according to claim 1, wherein said comparative metric comprises a cost ineffective pill strength.

8. The method according to claim 1, wherein said comparative metric comprises a use of two or more drugs from a same chemical class.

9. The method according to claim 1, wherein said comparative metric comprises an absence of a timely refill.

10. The method according to claim 1, wherein said comparative metric comprises a prescription for a brand-name drug when a chemically equivalent generic exists.

11. The method according to claim 1, wherein said comparative metric comprises a patient having a plurality of prescribing physicians.

12. The method according to claim 1, wherein said comparative metric comprises a patient having a sedative or a hypnotic prescribed for in excess of a threshold number of days.

13. The method for reviewing and analyzing a pharmaceutical prescription according to claim 12, wherein said threshold number of days is 30.

14. The method according to claim 1, wherein said intervention information comprises a letter.

15. The method according to claim 14, wherein said intervention information further includes a reference to a published information.

16. The method according to claim 15, wherein a copy of said published information is provided together with said intervention information.

17. The method according to claim 1, wherein said intervention information comprises an e-mail.

18. The method according to claim 17, wherein said intervention information further includes a reference to a published information.

19. The method according to claim 1, wherein said intervention information comprises a telephone call.

20. The method according to claim 1, wherein said intervention information comprises a personal interview.

21. A computer system having a computer program set of instructions stored thereon that when executed can perform a method for providing an intervention information based solely on a pharmaceutical prescription, said system comprising:

a computer;

a first memory connected to said computer, said first memory having a computer program set of instructions for performing a method for reviewing and analyzing a pharmaceutical prescription stored thereon;

a second memory connected to said computer, said second memory having at least one pharmaceutical prescription record stored thereon; and

a third memory connected to said computer, said third memory having at least one expert guideline stored thereon.

22. The computer system as claimed in claim 21 further comprising an output comprising an intervention information.

23. The computer system as claimed in claim 22 wherein said intervention information further comprises a reference to said at least one expert guideline.

24. The computer system as claimed in claim 23 wherein said intervention information further comprises a copy of said said at least one expert guideline.

25. The computer system as claimed in claim 21 further comprising:

an output device for outputting an intervention information.

27. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a therapeutic duplication intervention information.

28. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes an excess dosing intervention information.

29. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes an inadequate dosing intervention information.

30. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a drug-drug interaction intervention information.

31. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a cost-ineffective pill strength selection intervention information.

32. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a multiple drugs-same chemical class intervention information.

33. The computer program as claimed in claim 32 wherein said multiple drugs are prescribed by multiple prescribers.

34. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a patient adherence intervention information.

35. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a brand-name prescribed when generics available intervention information.

36. The computer program as claimed in claim 26 wherein said plurality of programed intervention informations outputs includes a long-term usage intervention information.

26. A computer program for providing an intervention information based solely of data derived from a pharmaceutical prescription data, said computer program comprising a plurality of programed intervention informations outputs.

37. An intervention information based solely on data derived from a pharmaceutical prescription data, said intervention information produced by a process of:

providing a prescription data;

providing a reference guideline;

defining a comparative metric;

comparing said prescription data to said reference guideline on a basis of said metric;

computing a deviation of said metric as a difference between said prescription data and said reference guideline;

comparing said deviation to a threshold deviation; and

if said deviation exceeds said threshold deviation, providing said intervention information.