TDWI Best Practices Award
Centerstone utilizes a cutting edge data warehousing and business intelligence platform developed by CRI. This incorporates data-driven systems, with the DW at its core, to inform staff and management on a daily basis about productivity, quality, revenue, etc. Prior to the data warehouse implementation, there were numerous disparate goals and measures, now they are all tied together mathematically and based on evidence available down to the individual front-line staff level. That transparency has been key.
The system helped produce a $12-15 million increase in annual revenue (30% increase) in one year without appreciable increases in cost. As shown in the attached figures, staff productivity rose 30% and time spent providing clinical service rose 10% for each staff, suggesting a reduction in administrative time waste. The quality of services provided also increased, as seen by a 25% rise in treatment plan completion, improvements in clinical consistency such as a 20% rise in case rate eligibility, and similar improvements in compliance issues and outcomes collection. In addition, access time, defined as the time lapsing between the date of referral to the date of first service, fell to historic lows at the agency.
The Data Warehouse also serves as the backbone for various research efforts around clinical decision support, data mining/predictive modeling, and artificial intelligence, and serves as the backbone for “adaptive” clinical decision support systems driven by live data based on the actual population.
The platform has won the rarely given “Exemplary” recognition from CARF as well as the 2010 TDWI Best Practices Award for Data Warehousing/Business Intelligence . Previous winners of the TDWI award include: Cisco, Boeing, Lawrence Livermore National Laboratory, Memorial Sloan-Kettering Cancer Center, eBay, IBM, National Basketball Association, Louisiana Pacific Corporation, and Capital One. Centerstone is only the third healthcare organization to win the award, and the first behavioral healthcare provider.
Future directions focus on moving the data warehousing/business intelligence platform beyond the walls of Centerstone through CRI’s Knowledge Network research collaborative and the integration of genetic data into the existing clinical data warehouse in an ongoing basis.