Automated system and method for discounting medical bills of self-pay patients

• US 20060190334A1
• Filed: 02/22/2006
• Published: 08/24/2006
• Est. Priority Date: 02/22/2005
• Status: Abandoned Application

• Current Assignee: Stephen Smith
• Original Assignee: Stephen Smith
• Inventors: Smith, Stephen E.
• Application Number:
  US11/359,799
• Publication Number:
  US 20060190334A1
• Time in Patent Office: Days
• US Class Current: 705/14.1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

A system and method for consistently, reliably and equitably discounting medical bills of self-pay patients includes a networked discounting engine operably coupled to a plurality of databases. The discounting engine is adapted to receive patient account data from one or more patient registration systems. Based upon the patient account data received, the discounting engine accesses the plurality of databases to determine financial, asset and demographic attributes for a patient or responsible party. Based upon the patient account data received, and the determined financial, asset and demographic variable values, the discounting engine determines weights and points. Weights and points are then combined by the discounting engine to determine a weighted discount percentage to be applied against the patient'"'"'s outstanding account balance. The discounting engine then generates and sends to the patient registration system an output file containing the discount percentage and other patient information. This information along with other billing information is communicated to a patient accounting system for preparing a discounted bill.

Claims

1. A system for discounting medical bills of self-pay patients, said system comprising, a discounting engine adapted to receive patient account data for each self-pay patient, and obtain attribute data corresponding to said patient account data, said discounting engine being further adapted to compute a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient, said attribute:

data including one or more credit data.

2. A system for discounting medical bills of self-pay patients according to claim 1, wherein said attribute data further includes one or more asset data.

3. A system for discounting medical bills of self-pay patients according to claim 1, wherein said attribute data further includes one or more demographic data.

4. A system for discounting medical bills of self-pay patients according to claim 1, wherein said attribute data includes one or more attribute values from the group consisting of Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

5. A system for discounting medical bills of self-pay patients according to claim 1, wherein said attribute data includes values for Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

6. A system for discounting medical bills of self-pay patients according to claim 1, wherein said discounting engine is further adapted to assign a discount point value to each of the attribute data.

7. A system for discounting medical bills of self-pay patients according to claim 1, wherein said discounting engine is further adapted to assign a numerical weight value to each of the attribute data.

8. A system for discounting medical bills of self-pay patients according to claim 1, wherein said discounting engine is further adapted to assign a discount point value and a numerical weight value to each of the attribute data.

9. A system for discounting medical bills of self-pay patients according to claim 1, wherein said discounting engine is further adapted to assign a discount point value and a numerical weight value to each of the attribute data and said computed discount equals the sum of all discount point values divided by the sum of all numerical weight values.

10. A system for discounting medical bills of self-pay patients, said system comprising, a discounting engine adapted to receive patient account data for each self-pay patient, and obtain attribute data corresponding to said patient account data, said discounting engine being further adapted to compute a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient, said attribute data including one or more credit data, one or more asset data and one or more demographic data, and said attribute data includes one or more attribute values from the group consisting of Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

11. A system for discounting medical bills of self-pay patients according to claim 10, wherein said attribute data includes values for Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

12. A system for discounting medical bills of self-pay patients according to claim 10, wherein said discounting engine is further adapted to assign a discount point value to each of the attribute data.

13. A system for discounting medical bills of self-pay patients according to claim 10, wherein said discounting engine is further adapted to assign a numerical weight value to each of the attribute data.

14. A system for discounting medical bills of self-pay patients according to claim 10, wherein said discounting engine is further adapted to assign a discount point value and a numerical weight value to each of the attribute data.

15. A system for discounting medical bills of self-pay patients according to claim 14, wherein said discounting engine is further adapted to assign a discount point value and a numerical weight value to each of the attribute data and said computed discount equals the sum of all discount point values divided by the sum of all numerical weight values.

16. A method for discounting medical bills of self-pay patients, said method comprising, receiving patient account data for each self-pay patient, obtaining attribute data corresponding to said patient account data, and computing a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient, said attribute data including one or more credit data, one or more asset data and one or more demographic data, and said attribute data includes one or more attribute values from the group consisting of Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

17. A method for discounting medical bills of self-pay patients according to claim 16, wherein said attribute data includes values for Age, Current Balance, Work, Credit Score, Deceased, Chapter 7 Bankruptcy, Chapter 13 Bankruptcy, Number of Collection Tradelines, Sum of Available Credit, Income Estimation, Median Home Value, Mortgage Balance, Sum of Monthly Payments On Open Trades, Number of Credit Accounts Opened In Past 6 Months, and Number of Derogatory Trades.

18. A method for discounting medical bills of self-pay patients according to claim 16, wherein the step of computing a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient further includes assigning a discount point value to each of the attribute data.

19. A method for discounting medical bills of self-pay patients according to claim 16, wherein the step of computing a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient further includes assigning a numerical weight value to each of the attribute data.

20. A method for discounting medical bills of self-pay patients according to claim 16, wherein the step of computing a discount for each self-pay patient based upon the account data and attribute data corresponding to each self-pay patient further includes assigning a discount point value and a numerical weight value to each of the attribute data and said computing a discount by calculating the sum of all discount point values and dividing said sum of all discount point values by the sum of all numerical weight values.