Lab Data Insights Unlock Predictive Power to Improve Patient Care and Healthcare Efficiency with Bradley Bostic hc1

Bradley Bostic, CEO of hc1, uses advanced data science, AI, and natural language processing to identify optimal patient testing, better predict disease development, and provide insights that can help prevent disease progression. The use of lab data is crucial for making diagnostic decisions, yet the potential of leveraging data is not being realized. Using technology to address issues like over-utilization of testing and data silos that prevent clinicians from seeing the complete story, hc1 is building a diagnostic insight network that unifies the provider and pharmacists to improve the patient journey and improve outcomes.

Bradley explains, "We are transforming laboratories into strategic assets that improve patient care and boost the bottom line for healthcare systems. And really, the way that I came about this was having been in the healthcare industry for quite a while, most of my career, I started seeing this common fact that data was important. The largest component of the data that was used to make diagnostic decisions and diagnose patients was lab data. It's like 80% of all diagnostic decisions at least are informed by lab data. Yet, of everybody I saw out there looking to leverage data, there wasn't anybody that I saw who was hyper-specialized in how you can leverage signals from lab data to make patients healthier. I decided there was a void in the market and that we could be the best in the world. So that's what we've been working on here at hc1."

"What we've been able to do is use these advanced data science capabilities, use artificial intelligence, use natural language understanding to not only be able to identify the optimal testing for patients at any given time to get to the best diagnosis faster. But also to become predictive - to identify those people in that constellation of signals who, for example, are trending toward developing chronic kidney disease or those people who are trending toward developing diabetes or any number of different disease states. We have created an artificial intelligence model that can identify individuals who are highly predisposed to developing cognitive decline well into the future without any sort of a specialized test, but just using routine test values all analyzed in this constellation." 

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