This is the complete 4-part series demonstrating real-world examples of the power of data mining in healthcare. Effective data mining requires a three-system approach: the analytics system (including an EDW), the content system (and systematically applying evidence-based best practices to care delivery), and the deployment system (driving change management throughout the organization and implementing a dedicated team structure). Here, we also show organizations with successful data-mining-application in critical areas such as: tracking fee-for-service and value-based payer contracts, population health management initiatives involving primary care reporting, and reducing hospital readmissions. Having the data and tools to use data mining and predict trends is giving these health systems a big advantage.
9. Participating in Shared-risk
Contracts
9
The IDN is an accountable care
organization (ACO) with shared-risk
contracts that cover tens of
thousands of patients. While bringing
referrals into the hospital, they are
optimizing care to keep their at-risk
population out of the hospital. They
are using the EDW to help ensure
patients in this population are being
treated in the most appropriate,
lowest-cost setting.
Analytics enables the team to monitor
care is delivered in the appropriate
setting, identify at-risk patients within
the population, and ensure that those
patients have a care manager.