Advances in artificial intelligence and data management have spurred much success in the healthcare system. Machine-learning technology has provided ways to automate tasks to improve patient monitoring, create the next generation of innovative smart devices, improve the accuracy of treatment decisions, and many more.
What if we have a technology that can identify the most at-risk members of the population? That way, they can proactively take care of themselves, reduce the impact of the foreseen health deterioration, and mitigate costs.
Prealize Health is precisely doing that -— enabling organizations to move from reactive to proactive healthcare through AI technology.
I recently talked to Linda Health in the Outcomes Rocket podcast. Linda is the CEO of Prealize and brings 35 years of experience to her role as CEO, emphasizing organizational leadership, product development, solutions delivery, and go-to-market strategies across a diverse portfolio of industries.
Linda’s explanation for proactive healthcare is on point. She said, “Proactive healthcare doesn’t wait. It attempts to preserve and improve health. It requires the ability to peek around the corner to understand the shape, the length, the depth of risk in front of a population all the way down to a member level.“
While writing this article and looking at the vast differences between reactive and proactive care, I remember an article in the news that says the U.S. healthcare spent about $3.6 trillion in 2018, nearly twice as that of other developed countries. Despite that enormous amount, our country’s healthcare outcome is not what we hoped that it would be, and it is mostly due to the reactive approach. Currently, health teams all over the country are running themselves ragged trying to help patients ravaged by Covid19. Reactive healthcare does not cut it anymore.
“Being proactive means having enough actionable insights so that a business can decide what to do about it, whether that’s a financial choice, thinking about optimizing programs, or proactive care management. Prealize enables organizations with actionable insights all the way down to the member level.” Linda explains.
For an organization to be proactive, it needs sufficient information and insights to make effective actions. Prealize partners with organizations — employers, payers, providers — anyone taking risks and bearing risk and who would like to understand what that risk looks like. By using its advanced healthcare analytics packed with millions of clinically informed machine learning features trained on specific data sets, organizations can accelerate the transition from reactive to proactive care.
As an innovative health solution, Prealize offers several advantages.
“The machine can pick up patterns, especially when trained across a large population that you and I cannot see. We are predicting events six to 12 months in advance of any of those rules-based systems. The machine is picking up on it and giving a timeline so you can actually know how long you have to actually impact that.” Linda added.
With the help of the machine learning engine, Prealize can provide better insights, increase accuracy, and boost the productivity of organizations.
For more thought-provoking insights from Linda, listen to our full conversation here: https://outcomesrocket.health/prealize/2020/05/
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