KeySTATS Quality Data Resources

KeySTATS Quality Data Resources is a service that enables hospitals to quickly access their quality data, including selected patient outcomes and patient-specific information, using the hospital’s Agency for Healthcare Research and Quality (AHRQ) Quality Indicator (QI) rates.

Using KeySTATS Quality Data Resources, hospitals are able to run their own properly formatted, facility-specific patient data through the AHRQ QI software application, enabling them to calculate rates for all quality indicators and to view the individual cases that contribute to a specific rate.

The AHRQ QI software enables hospitals to monitor their quality data faster and more closely—which can be critical in today’s fast-changing quality management and reporting environment. Using the AHRQ QI software enables hospitals to position themselves and prepare for the public release of AHRQ QI rates.

However, until now, many hospitals have not had the preparation or expertise to successfully install the AHRQ software application, or the ability to format their Statewide Planning and Research Cooperative System (SPARCS) data to meet AHRQ software specifications. These two functions are required to derive patient-level information from the AHRQ QI software.

How This Service Works:

It begins with an evaluation of your hospital’s host personal computer for hardware specifications and operating system readiness;
You receive personal guidance through the successful installation of the three components of the AHRQ QI software application;
Your hospital receives assistance in retrieving previously submitted SPARCS data via the Health Provider Network;
These data are reformatted to “input ready” state for the AHRQ QI software;
Your hospital is then ready to generate reports.

This Service Enables You to:

identify the performance measures of particular interest from the list of QIs;
stay ahead of third-party publication of your hospital’s data;
uncover quality “hot spots” as they develop; and
monitor clinical outcomes and associated processes in more depth, and modify processes as warranted for those QI rates that suggest potential for improvement.