If there’s one thing that the healthcare system has learned since the beginning of the EHR adoption tidal wave, it’s that big data isn’t always better data.
When deployed effectively, big data analytics can deliver staggeringly complex and meaningful insights, helping providers improve everything from population health management to adverse event rates to financial returns.
But most of the data used to perform these innovative calculations does not spontaneously generate itself. Clinicians must learn how to use their electronic health records to collect the right information and report it to half a dozen different quality programs and measurement groups.
Physicians have been particularly hard-hit by the increase in quality reporting requirements, and they have not been hesitant to voice their complaints about how the convoluted processes can sap their time, energy, and ability to provide top-shelf patient care.
But big data doesn’t have to do more harm than good, argues L. Gordon Moore, MD, Senior Medical Director of Population and Payment Solutions at 3M Healthcare. With the right strategies, the right attitude, and a few tweaks to the system, providers could learn to love their jobs again.
Moore sat down with HealthITAnalytics.com at the 2016 HIMSS Conference and Exhibition to discuss why physicians feel as if they’re losing their autonomy and how big data analytics can help to reinvigorate the patient-provider relationship that is central to clinician satisfaction.
Digging down to the root of the problem
It all starts with data normalization.
“The basic question that we are all trying to answer is how we can use all the resources at hand to achieve brilliance and outcomes for the people that we serve,” he said. “It starts with simply by knowing what is wrong with the person, and how we can understand it. If we’re going to use machines to help us with that, we need to turn these things into numbers.
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