Net Health Data Scientist for Wound Care Honored With OnConferences Top 100 Data & Analytics Professional Award

Matt Berezo, Data Scientist at Net Health, was recently honored with the 2021 OnConferences Top 100 Data & Analytics Professional Award. This peer-reviewed award recognizes the top-leading data and analytics professionals across the world.

Nominated by peers everywhere, the OnCon Top 100 Data & Analytics Professional Award looks at individuals who have made a strong contribution to their professional community through thought leadership and innovation.

“I really appreciate the individuals who voted for me,” said Matt upon being notified of the award. “I’m looking forward to all that we’ll accomplish with our analytics initiative at Net Health.”

An Eye for Predictive Outcomes 

While Matt has only been at Net Health since 2020, his professional experience with data and analytics stems back to his early years at IBM, when he was a predictive analytics consultant. His career path then led him to the University of Pittsburgh Medical Center where he worked as a Data Scientist in the Clinical Analytics division.  In addition, Matt worked as an Adjunct Professor for Data Science at the University of Pittsburgh’s School of Information Sciences and Katz Graduate School of Business from January 2019 – January 2021.

Currently, his role focuses on predictive modeling across all of Net Health’s products.  More recently, he has been focused on wound care and therapy, specifically as it pertains to predicting patient outcomes – such as wound healing time – while also observing operational models as well.

Looking to the Future of Data and Analytics 

When we asked Matt about the direction he sees data and analytics heading in the future, he emphasized how, as we move forward with innovation and technological developments, predictive analytics has the capacity to provide an array of sophisticated insights, from both a clinical and operational standpoint.

“With the wealth of data that Net Health has, we can develop highly accurate predictive models and embed their predictions and insights directly into our products,” noted Matt. “Giving clinicians accurate foresight can give them the opportunity to use their subject matter expertise in real-time to make more timely interventions that will hopefully change patient outcomes for the better, or improve operational efficiency.”