Predictive analytics promise better outcomes and lower costs—but they can’t deliver if the tools aren’t being fully embraced.
Getting service line leaders and physicians to use predictive analytics is sometimes more difficult than you’d think, even though the National Academy of Medicine says one-third of the U.S. healthcare system’s resources—$750 billion each year—is spent on unnecessary services and inefficient care. So what’s standing in the way of getting buy-in when it comes to the kind of tools specifically designed to reduce wasteful spending?
Meetali Kakad, Ronen Rozenblum and David Westfall Bates, writing for the Harvard Business Review, interviewed 34 key figures from leading U.S. health systems, policy makers and predictive analytics vendors to find out how to get more buy-in. Here are some of the lessons learned:
1. Engage everyone. “Success depends less on the tool itself than on getting buy-in at all levels from the start,” they wrote. This includes making sure frontline employees fully understand the value of these analytics, as well as ensuring your CEOs and top leadership are educated and fully grasp the value proposition to generate support.
2. Communicate the value. “Demonstrating the clinical impact of a predictive tool can go a long way toward engaging those who will use them,” the authors say. Giving real examples that are results-oriented is especially helpful for clinical staff who may be skeptical of “black box algorithms.”
3. Bring in the experts. The use of implementation experts to help everyone adjust gives you a marked advantage, according to the authors’ findings. These experts can work with clinicians to map workflows and spot potential challenges when introducing a new process or tool.
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