Using Electronic Health Record Data for Clinical Analyses: Early Learnings

Friday, November 2, 2018 - 1:25pm - 2:25pm
Lind 409
Joao Montero (Medtronic)
Medtronic is a global leader in medical technology, services, and solutions. Within Medtronic a statistician/data scientist can contribute in various departments: research & development, clinical trials, quality control, etc. I work in a department responsible for finding alternative data sources, where currently we are exploring the use of electronic health records (EHR) data to obtain relevant and reliable clinical evidence reflective of a patient’s full care continuum and a medical device’s total lifecycle. To understand the strengths and limitations of using EHR data for clinical analyses, we have partnered with a healthcare system in the Midwestern United States. In this talk, I will share some early learnings from this partnership.

Joao Monteiro is a principal data scientist at Medtronic in the Corporate Biostatistics group. He joined Medtronic in 2014, and prior to that he was a statistical consultant at NAMSA and a postdoctoral researcher at Duke University. He has worked on numerous clinical trials and currently he performs a variety of statistical analyses using electronic health records (EHR), medical claims and implantable device data. He is interested in Bayesian statistics, machine learning, and big data analytics.