Eric Just

Senior Vice President and General Manager, Product Development

Eric Just is the Senior Vice President and General Manager of the Application Suite Business at Health Catalyst. His team is responsible for a broad portfolio of applications including a patient registry platform, patient safety decision support, and incorporating new technologies like machine learning and natural language processing. Eric has spent the majority of his career innovating technology to improve healthcare and health sciences. During the early part of his career, he built a genomics data resource to support a global research community at Northwestern University Feinberg School of Medicine. Then Eric transitioned to the clinical data warehouse team at Northwestern as one of the principal architects and ensuring the data warehouse was effectively leveraged to power outcomes research, care improvement, and recruitment of patients into research studies. Since joining Health Catalyst in 2011 as the fifth employee, Eric has enjoyed a variety of roles within the company. Outside of work, he is a dedicated husband and dad and is involved in school, sports, and enjoying outdoor life in his adopted hometown of Salt Lake City.

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Succeeding in Population Health Management: Why the Right Tools Matter

The U.S. healthcare market projects that by 2022 90 million Americans will be in an ACO. The upward trend in population health management (PHM) makes the move towards risk-based contracts increasingly urgent for health systems. The industry has been largely unprepared for the shift, as it hasn’t established a clear definition of population health or solid guidelines on transitioning from volume to value. Organizations can, however, prepare for the demands of PHM by adopting a solution that manages comprehensive population health data, provides advanced analytics from new and complex challenges, and connects them with the deep expertise to thrive in a value-based landscape.

Machine Learning in Healthcare: What C-Suite Executives Must Know to Use it Effectively in Their Organizations

Machine learning (ML) is gaining in popularity throughout healthcare. ML’s far-reaching benefits, from automating routine clinical tasks to providing visibility into which appointments are likely to no-show, make it a must-have in an industry that’s hyper focused on improving patient and operational outcomes.

This executive report—co-written by Microsoft Worldwide Health and Health Catalyst—is a basic guide to training machine learning algorithms and applying machine learning models to clinical and operational use case. This report shares practical, proven techniques healthcare organizations can use to improve their performance on a range of issues.

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