Reinventing the way revenue cycle collections is done.

1. Improve Fiscal PerformanceUtilizing Self Pay Modeling June 21, 2011

3. Collection data validation

4. Patient historical data

5. Zip+4 census dataPage 2

7. Provides current credit header address, phone number, employer

8. Updated data returned to hospital eliminating mail returns

9. Equifax and First Search databases updated in real time

10. Charity Validation

11. Customized to meet hospital’s charity guidelines

12. Specialized Medically Indigent module

13. Consistent system takes the subjectivity out of the process

14. Reduces FTE administrative costs by over 50%

15. Payment Analysis by Segment

16. Segmentation of accounts by predictability of payment

17. Payment predictor based on household’s financial profile

18. Empirical collectability benchmarks for each segment based on workflow modificationsiSolutions IQ Platform

20. Analyzes patient’s financial profile providing recommended threshold for payment

21. Accurate estimate of what the patient “really” can afford

22. Eliminates guesswork of high/low balance collection strategy

23. Fraud Alert

24. Immediately identifies fraudulent use of PHI

25. Provides systematic process supporting compliance of “Red Flag Rule”

26. Behavioral Analysis – Customized Modeling

27. 360 degree financial analysis of entire household

28. Cascading algorithm delivers most accurate results

29. Custom set up based on geo-demographic multivariate statistical analysisiSolutions IQ Platform

31. Segmentation analysis performed utilizing a four step validation process

32. Household income and dependant estimation evaluated for charity determination

33. Accounts are prioritized by charity designation and propensity of payment catagories

34. Automatically calculates sliding scale and financial assistance discountsIntegration Real Time HL7 Batch Placement Secure FTP 15 Million Accounts Zip+4 Census Credit Report Demographics Analysis Med. Ability Propensity High Ability Propensity Charity Validation Low Ability Propensity Needs More Data Unlikely Propensity Estimate Household Maximum Payment Estimate Income Estimator

36. Income verification factors include:

37. monthly obligations, mortgage amount, available credit, credit card balances, auto loans, revolving credit, average cost for rental, food cost, utilities cost, transportation cost, communication costSelf Pay Scoring Medicaid Eligibility Revenue Cycle Outsourcing Payer Search Bad Debt

39. Utilizes stated or estimated income

40. Estimated income is based on Zip+4 census data plus validation factoring against the patient’s credit file*Reduce the risk of collecting from charity qualified patients

41. Work Flow Optimization Qualify & Process Maximum Resources Modified Work Flow Accelerate to Bad debt Skip Trace & Process Page 8

43. Estimated Income Baseline from Zip+4 Census Bureau Report

44. Validated via Credit Report

45. Estimation of Assets via Credit History

46. Open Lines of Credit Available

47. Estimated Cost of Living in Geo-Demographic Area

49. Page 11 Reporting ? ? ?

50. Page 12 Thank You ? Do You Have Any Questions? ? ? Phil C. SolomonChief ROI OfficeriSolutions IQ psolomon@isolutionsiq.com404-849-8065