Method for predicting the payment of medical debt

• US 20080120133A1
• Filed: 11/21/2006
• Published: 05/22/2008
• Est. Priority Date: 11/21/2006
• Status: Abandoned Application

• Current Assignee: Arvind Krishnaswami, Christophe Conseil
• Original Assignee: Arvind Krishnaswami, Christophe Conseil
• Inventors: Conseil, Christophe, Krishnaswami, Arvind
• Application Number:
  US11/603,528
• Publication Number:
  US 20080120133A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/00 Commerce

Abstract

The present invention provides methods, systems, and computer program products that are useful for establishing contractual terms and agreements between health care providers and health care payors. For example, one embodiment of the present invention provides a method for predicting a person'"'"'s payment of a medical debt. Another embodiment of the present invention provides a method for predicting a propensity of a group of one or more health care participants to pay an actual or potential medical debt.

Claims

1. A method for predicting a person'"'"'s payment of a medical debt, the method comprising the steps of:

a. retrieving information that originated from a health care provider, wherein the information is relevant to the person'"'"'s propensity to pay the medical debt; and

b. determining a score based upon at least some of the information, wherein the score indicates the person'"'"'s propensity to pay the medical debt.

2. The method of claim 1, wherein the retrieving step comprises the step of retrieving information that originated from a health care provider and retrieving information from one or more sources, wherein the information is relevant to the person'"'"'s propensity to pay the medical debt.

3. The method of claim 2, wherein a source is at least one of an insurance provider, credit provider, consumer credit bureau, or financial institution.

4. The method of claim 1, wherein the information is at least one of demographic information, credit information, financial information, or a credit score.

5. The method of claim 2, wherein the information is at least one of demographic information, credit information, financial information, or a credit score.

6. The method of claim 2, wherein at least one source is a database external to the health care provider.

7. The method of claim 1, further comprising the step of using the score to predict the person'"'"'s payment of the medical debt.

8. The method of claim 1, further comprising the step of using the score to predict the person'"'"'s payment of a potential medical debt.

9. The method of claim 1, further comprising the step of using the score to quantify a payment risk to a health care provider.

10. The method of claim 1, further comprising the step of using the score to determine a health insurance premium for the person.

11. The method of claim 1, further comprising the step of using the score to design a health care plan for the person.

12. The method of claim 1, wherein the determining step comprises applying an algorithm to at least some of the information to determine a score, wherein the score indicates the person'"'"'s propensity to pay the medical debt.

13. The method of claim 12, further comprising the step of updating the algorithm based on the person'"'"'s payment of the medical debt.

14. The method of claim 12, wherein the algorithm is at least one of a neural network or a statistical model.

15. The method of claim 1, further comprising the step of determining the person'"'"'s eligibility for a health care plan based on the score.

16. The method of claim 1, further comprising repeating steps (a) through (b) for a group of persons;

and then determining a group score for the group of persons based on the score of each person in the group, wherein the group score indicates a propensity of the group of persons to pay a medical debt of one or more persons in the group.

17. The method of claim 16, wherein each person in the group of persons is participating in the same health care plan.

18. The method of claim 16, further comprising the step of using the group score to predict payment of the medical debt of one or more persons in the group.

19. The method of claim 1, further comprising the step of using the score by a health care provider to negotiate a contract with a health care payor.

20. The method of claim 1, further comprising the step of using the score by a health care payor to negotiate a contract with a health care provider.

21. The method of claim 1, further comprising the step of using the score by a health care provider to negotiate a contract with a collections company.

22. The method of claim 1, further comprising the step of using the score by a collections company to negotiate a contract with a health care provider.

23. A method for predicting a propensity of a group of one or more health care participants to pay an actual or potential medical debt, the method comprising the steps of:

a. for each participant in the group, retrieving information from one or more sources, wherein the information is relevant to the participant'"'"'s propensity to pay an individual medical debt; and

b. determining a group score based upon at least some of the information retrieved for one or more participants, wherein the group score indicates the propensity of the group to pay the medical debt.

24. The method of claim 23, wherein a source is at least one of a health care provider, insurance provider, credit provider, consumer credit bureau, or financial institution.

25. The method of claim 23, wherein the information is at least one of demographic information, credit information, financial information, or a credit score.

26. The method of claim 23, wherein the medical debt is a medical debt of one or more participants in the group.

27. The method of claim 23, further comprising the step of using the group score to quantify a payment risk to a health care provider.

28. The method of claim 23, further comprising the step of using the group score by a health care provider to negotiate a contract with a health care payor.

29. The method of claim 23, further comprising the step of using the group score by a health care payor to negotiate a contract with a health care provider.

30. The method of claim 23, further comprising the step of using the group score by a health care provider to negotiate a contract with a collections company.

31. The method of claim 23, further comprising the step of using the group score by a collections company to negotiate a contract with a health care provider.

32. The method of claim 23, further comprising the step of using the group score to predict payment of at least one participant'"'"'s medical debt.

33. The method of claim 23, further comprising the step of using the group score to predict the payment of another actual or potential medical debt.

34. The method of claim 23, further comprising the step of using the group score to determine a health insurance premium for one or more participants in the group.

35. The method of claim 23, further comprising the step of using the group score to design a health care plan for one or more participants in the group.

36. The method of claim 23, wherein the determining step comprises inputting at least some of the information retrieved for one or more participants into an algorithm to determine a group score, wherein the group score indicates the propensity of the group to pay the medical debt.

37. The method of claim 36, wherein the algorithm is at least one of a neural network or a statistical model.

38. The method of claim 23, wherein at least one source is a database external to a health care provider.

39. The method of claim 23, wherein each participant in the group is participating in the same collection portfolio.

40. The method of claim 23, further comprising the step of using the group score to quantify a payment risk to a health care provider.

41. The method of claim 23, further comprising the steps of:

a. for each participant in the group, using at least some of the retrieved information to determine an individual score for the participant, wherein the individual score indicates the participant'"'"'s propensity to pay an actual or potential individual medical debt; and

b. adjusting the group score based on the individual score of one of more of the participants.

42. A computer program product encoded in a computer readable medium, the program product for predicting a propensity of a group of one or more health care participants to pay an actual or potential medical debt, the program product encoded to perform the steps of:

a. for each participant in the group, retrieving information that originated from a health care provider and retrieving information from one or more sources, wherein a source is at least one of an insurance provider, credit provider, consumer credit bureau, or financial institution, and wherein the information is relevant to the participant'"'"'s propensity to pay an individual medical debt; and

b. determining a group score based upon at least some of the information retrieved for one or more participants, wherein the group score indicates the propensity of the group to pay the medical debt.