American healthcare has undergone a radical transformation. Reimbursements have moved from volume to value. Increasingly, single hospitals have been absorbed into larger systems. Physicians now opt for employment over private practice. And consumers, who had few healthcare choices in the past, are making informed decisions and driving their own care.
How can hospitals benefit from these fundamental changes? One answer is healthcare predictive models.
Standard analytics can tell hospitals what happened in the past. Monitoring can tell them what is happening now. But predictive analytics can provide a glimpse into what may happen in the future. In healthcare, predictive modeling adds value by identifying individuals most likely to have medical needs.
When designed and implemented using best practices, these models can empower hospitals to intelligently acquire new patients, manage populations by providing the right care at the right time, and increase alignment and loyalty from affiliated physicians. Predictive models allow hospitals to plan for the future to maximize market share, improve patient care, and manage costs.
Read "Predictive models for hospitals" now. You can also learn more about how Healthgrades predictive models help hospitals and health systems respond more effectively to consumers' health needs.