Program didn't provide strong enough incentives for participation, CMS deputy administrator testifies.
The Health and Human Services Department missed its 2010 deadline to roll all Medicare and Medicaid claims information into a single, integrated data repository because of limited cooperation and a mishmash of data forms at the state level, officials told lawmakers Tuesday.
The integrated data repository, which was launched in 2006, was designed to be an easily searchable database that would help Medicare and Medicaid workers quickly spot suspicious claims and claw back about $21 billion in improper payments by 2016.
Five years in, it includes most data about Medicare claims but almost no data on Medicaid claims, according to a Government Accountability Office report released in connection with Tuesday's hearing of the Senate Homeland Security and Governmental Affairs panel on financial management.
That's because the federal government didn't give states a strong enough incentive to cooperate with the data storage program and states were unwilling to commit their own dwindling budgets to it, Centers for Medicare and Medicaid Services Deputy Administrator Peter Budetti told lawmakers.
"They also had their data in many different formats and systems so the integration of all those data into one place was complicated," he said.
Medicare is managed by the federal government and primarily funds hospital visits and prescription drug costs for elderly people. Medicaid is managed by state agencies and mostly funds medical costs for people with low incomes.
The two programs together made about $70 billion in improper payments during fiscal 2010, either to outright fraudsters or to genuine program recipients who should not have been reimbursed for that specific claim.
Budetti told lawmakers he expects to have Medicaid data integrated into the repository by the end of 2014. Joel Willemssen, the Government Accountability Office's managing director for information technology issues, applauded that overall goal but urged senators to impose stricter deadlines along the way.
"I'm a little bit concerned with the change of going from an incremental approach to state Medicaid data to now saying they'll do all 50 states in 2014," Willemssen said. "In our experience doing things in an incremental fashion is a prudent, risks-based approach . . . I think you've got to hold the agency's feet to the fire and the best way is by setting specific deadlines about when things are going to get done."
GAO also faulted CMS for having trained only 41 people to use the online portal developed to access repository data, as of October 2010. The center had planned to have more than 600 people trained in the system by that point, GAO said.
CMS has trained an additional 55 people to use the system and expects to finish teaching all eligible staff and contractors by the end this year, Budetti said. The 639 figure is several years out of date, he said, and the total number of people trained in the system is unlikely to be that high.
During Tuesday's hearing, Budetti also plugged a predictive modeling tool CMS implemented July 1 that assigns a risk score to new Medicare claims based on factors such as suspicious billing patterns or a great distance between the hospital where treatment occurred and the claimant's home address.
Once CMS has gathered enough data to ensure its predictive modeling is accurate, it will begin halting and investigating suspicious payments before they go out instead of investigating them once they're already been paid, Budetti said.
Medicare is required by law to pay claims quickly, usually within 14 to 30 days, he said, which, in the past, has prevented the center from stopping improper payments before they go out.
Medicare pays out about $1 billion from roughly 4.5 million claims every workday, according to Budetti's prepared testimony.
The predictive modeling tool was developed by Northrop Grumman Corp. with a $77 million contract, Budetti told lawmakers, and is based on a modeling tool that Verizon has used to detect fraud in credit card payments.