Thank you to everyone who participated in the Twitter chat held on November 1, 2012. We had a very interesting and exciting discussion with our Centers for Medicare and Medicaid Services (CMS) expert, Niall Brennan, Director of Information Products and Data Analytics at CMS.
Over the course of an hour we discussed high value CMS data sets, updated data in the health data indicators warehouse, examples of applications that have been developed leveraging CMS data, how the Qualified Entity Program works and tackled some tough questions from our participants.
Important highlights from the discussion include:
- The updates to the 174 CMS health indicators, including 10 new indicators now available in the Health Indicators Warehouse. The 174 indicators have been updated with four year estimates from 2007 – 2010. More information on the indicators can be found here on HealthData.gov.
- We learned that a number of great companies have developed applications using CMS data, such as HealthGrades, the Health Communities Institute and Archimedes Inc. All of which are being used to improve health for consumers, communities and service providers.
- We learned about the Qualified Entity Program (provision 10332 of the Affordable Care Act). The program provides a fantastic opportunity in the release of Medicare claims data to qualified entities to create performance reports for providers. Qualified entities need to combine Medicare claims with claims from other payers to create comprehensive provider reports and although the Qualified Entity Program may not be for everyone, it is a huge step forward in transparency. More info on the program can be found at https://www.qemedicaredata.org/.
- We found about another new tool from CMS, the CMS Data Navigator. The Navigator allows users to find data and information products for specific CMS programs or on specific health care topics or settings-of-care.
Thank you to everyone who contributed to a great discussion. A full record of the Twitter chat can be found here. We are going to have more Twitter Chats connecting data experts with data users. Let us know what topics/type of data you would like covered in the next one!