What is the target for predictive analytics tools in health care?
Chopra started his discussion with Yoder by asking her what she thinks the target for analytic tools in health care should be.
Yoder responded that there two pillars that are important for standing up analytics in health care: “Measuring outcomes and aligning incentives with those outcomes.”
Both are required, Yoder said.
“If you focus just on outcomes without aligning incentives across patient, provider, and payer, you have a utopia that doesn’t scale,” she said. “If you focus just on aligning incentives without the focus on outcomes, I can you guarantee you skipped over the incentive of the patient.”
‘What inning are we in?’
Chopra followed up his initial question by asking if the goal is being able to measure outcomes and align them with incentives, using a baseball analogy, “what inning are we in?”
Yoder drew laughter from the audience at the Top of Mind 2019 Summit by answering, “little league,” before moving on to explain that there’s much more work to do before health care is able to build analytic tools that are generalizable, unbiased, trusted, and adopted.
“You have to gather data from around the world, across different patient types, and test it in many different settings. We’re not doing that yet,” Yoder said.
“Second, even if you can solve that problem, if you don’t think about integrating it in a clinical workflow in a way that makes the clinician’s job easier, more efficient, then it almost doesn’t matter how good the analysis is,” she said.
“We haven’t even gotten the basics right to begin playing the game around analytics yet.”
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