Delivering quality care digitally means having the platforms and tools that can sift through enormous volumes of data to rapidly identify issues.
Digital healthcare is undergoing a revolution. And it has a problem many other industries only wish they had. The issue can be summarized by the following:
Doctor to patient: “I see the problem. You’re generating too much data.”
That funny-but-true line was delivered by Dr. Daniel Kraft, founder of the Exponential Medicine Conference and a professor at Singularity University, in a recent discussion with CXOTalk’s Michael Krigsman. The challenge, Kraft points out, is there is no shortage of data available to healthcare practitioners, but not enough context. The ideal digital healthcare platform, he says, should “learn from the clinician experience around the world, and synthesize the data into its actionable components,” he explains. “No one wants to see the raw EKG data, blood pressure, or other elements. What does it mean in context and even normalized to that individual? There are lots of layers to it. We’re starting to see the dots connect.”
Kraft was joined by Dr. John Halamka, president of Mayo Clinic Platform, who pointed to the need to align health systems and data in real time to deliver the best outcomes. He pointed to radiation oncology or radiotherapy, in which therapy needs to aligned with a linear accelerator “that needs to be programmed by a physicist and an expert radiation oncologist. It takes six-plus hours of human time to review the films of the tumor and then program the linear accelerator.”
With real-time systems and data alignment, much of this delay could be eliminated, Halamka continued. “What if one developed a cloud-hosted mechanism to ingest images of tumors, AI algorithms that would be able to review those and, in literally near real-time, recommended the safest, lowest dose, most effective mechanism of delivering the radiation therapy to the patient and then auto-programmed a linear accelerator thousands of miles away without a radiation oncologist or a physicist nearby?”
Work is underway on that problem, introducing platforms that are “connecting incoming data and algorithms, delivering something of value back and, ultimately, improving patient care,” Halamka continues. “Broadly, platforms are connecting producers and consumers and building value.”
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