2020 Fall Population Health Ethics (LU-Guest Lecture)
There is a constant tension between keeping our data private and the need to collect, store, and use private data to support health sciences decisions making. National databases like NHANES, FluView, MAUDE, and NSSP collect data on individuals' demographic data, disease states, adverse events. They collect data on emergency room visits, reported malfunctions during procedures, and symptoms consistent with influenza (influenza-like illness). To collect data like this, patients/participants accept a risk that their data will be compromised and made public—that their identity will be revealed.
The goal of Data Privacy and Security (DPS) is to reduce, to as small as possible, the chance a participant’s data becomes public knowledge.
In what follows, we’ll discuss a definition of privacy, the importance of privacy and HIPAA, the goals of data security and how to ensure your data is secured, approaches to DPS, current challenges in DPS, and a future vision.
tom mcandrew
Assistant Professor
I am a computational scientist with a methodological focus on developing ensemble forecasting algorithms and extracting statistical information from unstructured human judgment data. The areas of application that interest me most are building tools to combine forecasting and predictive models in the health sciences.