Fraud, abuse, and error detection in transactional pharmacy claims

• US 20060217824A1
• Filed: 02/23/2006
• Published: 09/28/2006
• Est. Priority Date: 02/25/2005
• Status: Abandoned Application

• Current Assignee: Fair Isaac Corporation
• Original Assignee: Fair Isaac Corporation
• Inventors: Pathria, Anu Kumar, Allmon, Andrea L., Nies, Craig, Traversay, Jean De, Nguyen, Phuong, Tyler, Michael K., Suresh, Nallan
• Application Number:
  US11/361,473
• Publication Number:
  US 20060217824A1
• Time in Patent Office: Days
• US Class Current: 700/90
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A computer-implemented approach for processing benefits payment claims for prescription medicine, with these operations. Receiving pending pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient. For each claim and its specified patient, performing operations including the following. Performing computer-driven statistical analysis of predefined aspects of one of the following in relation to a compiled history of past claims paid by one or more pharmacy benefits claims payors: claims history for the patient, the claim, medical history of the patient. Generating an indicator of predicted legitimacy by scoring results of the statistical analysis. Providing an output of at least one of the following: the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

Claims

1. A computer-implemented method for processing benefits payment claims for prescription medicine, comprising operations of:

receiving pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient-drug combination;

for each claim, performing operations comprising;

performing computer-driven statistical analysis of predefined aspects of a claims history for the specified patient-drug combination in relation to a history of claims paid by the pharmacy benefits claims payor involving a multiplicity of different patients and drugs;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

2. A computer-implemented method for processing benefits payment claims for prescription medicine, comprising operations of:

receiving pending pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient;

for each claim and its specified patient, performing operations comprising;

performing computer-driven statistical analysis of predefined aspects of one of the following in relation to a compiled history of past claims paid by one or more pharmacy benefits claims payors;

claims history for the patient, the claim, medical history of the patient;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

3. The method of claim 2, where the operation of performing statistical analysis comprises:

computing predetermined metrics quantitatively describing characteristics specified by predefined schemas;

comparing the computed metrics to the compiled history and producing a statistical ranking of the metrics according to the comparison.

4. The method of claim 3, where the schemas include at least one of:

occurrence of an unusual combination of drugs prescribed together;

occurrence of a patient visiting multiple pharmacies in the same day;

occurrence of dollars paid for a given prescribed drug;

occurrence of simultaneous prescriptions for drugs in the same therapeutic class;

occurrence of a patient having prescriptions from multiple prescribers for a single medicine;

occurrence of a patient receiving a large dollar value worth of the same or different drugs on the same day;

occurrence of a patient receiving an unusually high supply of a drug over a period of time;

occurrence of a patient taking a non-maintenance drug for an unusually long period of time.

5. The method of claim 3, where the schemas include all of:

rate drug use;

total expense of all medicines prescribed for a patient per day;

occurrence of prescriptions for medicines in same therapeutic class;

expense of patient'"'"'s prescription;

concurrent prescriptions for one patient involving one or more of the following;

multiple pharmacies, multiple prescribers;

excess supply of a drug over a period of time.

6. The method of claim 2, where the generating operation comprises one of the following:

(1) separately scoring results of the statistical analysis as to each of the one or more predefined aspects;

(2) separately scoring results of the statistical analysis as to each of the one or more predefined aspects, and computing a final store by combining the separate scores.

7. The method of claim 2, where the operations further comprise:

computing metrics quantitatively describing characteristics of a multiplicity of patient histories contained in the compiled history, where the characteristics are specified by predetermined schema;

generating baseline data by comparing the computed metrics to the compiled history and producing a statistical ranking of the metrics according to the comparison;

where the operation of performing computer-driven statistical analysis comprises comparing the predefined aspects in relation to the baseline data.

8. The method of claim 2, where the operation of providing the output comprises:

for each pharmacy benefit claims payor, queuing output records representative of the indicators and making the queued output records available for on-demand retrieval by the payor via worldwide web interface.

9. The method of claim 2, the operations further comprising:

combining the scored results applicable to a given entity to score for the entity, where each entity is one of the following;

prescriber, pharmacy, healthcare institution.

10. The method of claim 2, the payment advice comprising a recommendation as to whether to pay the claim.

11. A computer-driven apparatus to process payment claims for prescription medicine, comprising:

an interface receiving pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient-drug combination;

a computer-driven analysis module programmed to perform operations for each claim, comprising;

performing computer-driven statistical analysis of predefined aspects of a claims history for the specified patient-drug combination in relation to a history of claims paid by the pharmacy benefits claims payor involving a multiplicity of different patients and drugs;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

12. A computer-driven apparatus to process payment claims for prescription medicine, comprising:

interface means for receiving pending pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient;

computer-driven analysis means for performing operations for each claim and its specified patient, comprising;

performing computer-driven statistical analysis of predefined aspects of one of the following in relation to a compiled history of past claims paid by one or more pharmacy benefits claims payors;

claims history for the patient, the claim, medical history of the patient;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

13. A computer-driven apparatus to process prescription payment claims, comprising:

at least one interface to receive pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim including specification of a patient;

first digital data storage containing a compiled history of past claims paid by one or more pharmacy benefits claims payors;

second digital data storage containing multiple schemas each defining a condition as to one of the following;

patient claims history, payment claim, patient medical history;

a metrics engine programmed to compute metrics by applying the schemas to data of at least one of the following in conjunction with a patient;

patient claims history, payment claim, patient medical history, bulk data;

a baseline engine to receive metrics computed for substantially all patients in the compiled history and produce baseline data comprising a statistical analysis of the received metrics in relation to the bulk data;

scoring engine programmed to process a claim received at the interface by performing operations comprising;

receiving metrics computed for a patient specified by the received claim;

statistically analyzing the received metrics against the compiled history;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

14. A computer-driven apparatus to process payment claims for prescription medicine, comprising:

an interface receiving pending pharmacy benefits payment claims submitted for payment by a pharmacy benefits claims payor, each claim specifying a patient;

a computer-driven analysis module programmed to perform operations for each claim and its specified patient, comprising;

performing computer-driven statistical analysis of predefined aspects of one of the following in relation to a compiled history of past claims paid by one or more pharmacy benefits claims payors;

claims history for the patient, the claim, medical history of the patient;

generating an indicator of predicted legitimacy by scoring results of the statistical analysis;

providing an output of at least one of the following;

the indicator, payment advice prepared by applying predefined criteria to data including the indicator.

15. The apparatus of claim 14, where the analysis module is programmed such that the operation of performing statistical analysis comprises:

computing predetermined metrics quantitatively describing characteristics specified by predefined schemas;

comparing the computed metrics to the compiled history and producing a statistical ranking of the metrics according to the comparison.

16. The apparatus of claim 14, where the analysis module is programmed such that the schemas include at least one of:

occurrence of an unusual combination of drugs prescribed together;

occurrence of a patient visiting multiple pharmacies in the same day;

occurrence of dollars paid for a given prescribed drug;

occurrence of simultaneous prescriptions for drugs in the same therapeutic class;

occurrence of a patient having prescriptions from multiple prescribers for a single medicine;

occurrence of a patient receiving a large dollar value worth of the same or different drugs on the same day;

occurrence of a patient receiving an unusually high supply of a drug over a period of time;

occurrence of a patient taking a non-maintenance drug for an unusually long period of time.

17. The apparatus of claim 14, where the analysis module is programmed such that the schemas include all of:

rate drug use;

total expense of all medicines prescribed for a patient per day;

occurrence of prescriptions for medicines in same therapeutic class;

expense of patient'"'"'s prescription;

concurrent prescriptions for one patient involving one or more of the following;

multiple pharmacies, multiple prescribers;

excess supply of a drug over a period of time.

18. The apparatus of claim 14, where the analysis module is programmed such that the generating operation comprises one of the following:

(1) separately scoring results of the statistical analysis as to each of the one or more predefined aspects;

(2) separately scoring results of the statistical analysis as to each of the one or more predefined aspects, and computing a final store by combining the separate scores.

19. The apparatus of claim 14, where the analysis module is programmed such that the operations further comprise:

computing metrics quantitatively describing characteristics of a multiplicity of patient histories contained in the compiled history, where the characteristics are specified by predetermined schema;

generating baseline data by comparing the computed metrics to the compiled history and producing a statistical ranking of the metrics according to the comparison;

where the operation of performing computer-driven statistical analysis comprises comparing the predefined aspects in relation to the baseline data.

20. The apparatus of claim 14, where the analysis module is programmed such that the operation of providing the output comprises:

for each pharmacy benefit claims payor, queuing output records representative of the indicators and making the queued output records available for on-demand retrieval by the payor via worldwide web interface.

21. The apparatus of claim 14, the analysis module is programmed such that the operations further comprise:

combining the scored results applicable to a given entity to score for the entity, where each entity is one of the following;

prescriber, pharmacy, healthcare institution.

22. The apparatus of claim 14, the analysis module is programmed such that the payment advice comprises a recommendation as to whether to pay the claim.