Brigham Hyde, PhD
President, Data and Analytics
EVERSANA
Brigham Hyde, PhD
Brigham is a highly regarded speaker and thought leader on the value of data and analytics across the life sciences, pharma, and overall healthcare sector. His background is in data science and artificial intelligence (AI) and he excels at building best-in-class data software technologies to empower executives to make informed choices.
Prior to joining EVERSANA, Brigham was the co-founder and President of Concerto Health AI and Healthcare Partner at Symphony AI. Concerto developed the definitive data set for real-world data and was a leader in AI solutions for precision oncology. He also served as the Chief Data Officer at Decision Resource Group, and was responsible for building the company’s overall data and analytics platform. Brigham is a member of Forbes Technology Council, an exclusive group of senior-level technology executives who discuss how emerging technologies can change the way we live. He is an adjunct professor of pharmacology and experimental therapeutics at Tufts University and Research Faculty at MIT Media Lab.
Brigham holds a PhD in Pharmacology and Experimental Therapeutics from Tufts University School of Medicine, and a bachelor’s degree in chemistry from Northeastern University.
Expertise:
Articles by Brigham Hyde, PhD
Methodology for Predicting Switching Behaviors in Patients
Patient and hub services represent a significant and often ineffective spend surrounding overall patient support. How can we use data and analytics to build better patient services programs that predict next best actions and achieve improved patient engagement and outcomes across the treatment journey? As the industry continues its shift to value-based care, this challenge […]
Sharpening The Value And Definitions Of Digital And RWD: An Exchange Between Two Industry Leaders
The following is a exchange between Brigham Hyde and Ed Cox, two health tech experts and coworkers on a quest to educate each other and their teams. Note: An inquiry from a colleague who interchanged terminology initiated this exchange. Download the PDF Version
A Predictive Analytics and Machine Learning Approach to Improving Hub Performance and Patient Outcomes
Today we have access to more data, from more sources than we could ever dream possible. Living in a digital world, we increasingly need the ability to efficiently and effectively process this data for insights and actions in order to be competitive. The life sciences industry can leverage this data using analytic tools and machine learning to rapidly identify patient behaviors and patterns – allowing us to predict “next best actions” in our quest to improve patient outcomes.
PharmaVOICE Connected Health Showcase
IF I COULD ONLY ASK TWO QUESTIONS, THE FIRST WOULD BE: What is your data integration and analytics platform strategy? As the industry continues its shift to a patient-centric, value-based model of care, it is critical that the next generation of patient services programs integrate data and analytics into their care models to track the […]
What is Your Data Integration and Analytics Platform Strategy?
If I Could Only Ask Two Questions, the First One Would Be: What is Your Data Integration and Analytics Platform Strategy? It’s really simple, data analytics drives decisions. In the healthcare industry, we use data to better understand the complexity of disease, improve forecasting and communications with patients, design more effective clinical trials, predict trends, […]