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AI In Healthcare Use Case #23: Springbuk

  • 12 July 2019
  • Sam Mire

This interview is part of our new AI in Healthcare series, where we interview the world's top thought leaders on the front lines of the intersections between AI and healthcare.

In this interview, we speak with Rod Reasen, co-founder and CEO of Springbuk, to understand how his company is using AI to transform healthcare, and what the future of the industry holds.

1. What’s the story behind your company? Why and how did you begin?

RR:  Springbuk, which launched in 2015 as an employer-facing health analytics software, was born from the Healthiest Employers awards, a program that started in Indiana in 2009 to recognize leaders in corporate wellness. Today, the regional designation is conducted in over 45 U.S. cities with 10,000 participating employers, including 72 percent of Fortune 100 companies.

With a front-seat to employer wellness, I identified a common thread: employers lacked the information and data to make and measure key decisions in the health of their population. As a result, I launched Springbuk, a Health Intelligence platform that helps consultants and employers uncover steps to decrease costs and improve population health.

Today, Springbuk has over 1.3 million lives and 2,500 employers on the platform. The technology is helping employers forecast workers at high risk for diabetes, stroke and other conditions using AI-driven predictive models and employee health data. Once at-risk employees are identified, employers then get actionable information including appropriate treatment, disease management resources and risk mitigation strategies.

2. Please describe your use case and how Sprinkbuk artificial intelligence:

RR: With healthcare costs in the United States increasing dramatically, and employers bearing a large portion of that burden, the ability to utilize advanced techniques to glean insights from healthcare data is no longer a luxury but a necessity. Springbuk uses methods from AI to help employers identify patients at risk for disease, predict financial costs, and establish focus groups with the goal of not only improving healthcare outcomes, but improving population health itself.

Combining key breakthroughs from information theory, graph theory, and deep learning we parse and interpret healthcare data to help execute our mission of “Preventing Disease with Data”.  At the same time, we are judicious in our application of these technologies to ensure transparency and actionability of the results. Using our algorithms,  clients build new and more targeted health programs with a goal of reducing costs and improving both productivity and population health across their employees and dependents.

3. Could you share a specific customer/user that benefits from what you offer? What has Springbuk done for them?

RR: Springbuk recently launched a round of enhancements to its platform that combine data analytics with data science to help employers better manage healthcare and benefits costs, better realize the value of their most valuable resource, and improve population health.

Through Springbuk’s Health Intelligence platform employers have the ability to forecast employees that are at risk of thyroid disease, stroke, and diabetes based on a Springbuk proprietary event detection algorithm. Springbuk’s Health Intelligence helps you protect your most valuable asset—your people—by navigating opportunities and helping you meaningfully direct your resources for the highest impact.

About Sam Mire

Sam is a Market Research Analyst at Disruptor Daily. He's a trained journalist with experience in the field of disruptive technology. He’s versed in the impact that blockchain technology is having on industries of today, from healthcare to cannabis. He’s written extensively on the individuals and companies shaping the future of tech, working directly with many of them to advance their vision. Sam is known for writing work that brings value to industry professionals and the generally curious – as well as an occasional smile to the face.

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