Building Data Registries with Privacy and Confidentiality for Patient-Centered Outcomes Research (PCOR) [Methods Study], 2020

Researchers can use patient health data to compare treatments. But these data may include information, like names or social security numbers, that could identify patients. Researchers use different methods to remove such information and protect patients' privacy. Some methods work well to protect privacy but may make data less useful for research. Other methods don't protect privacy well enough.
Current methods for protecting privacy don't work well when:

The number of patients in the data set is smaller than the number of data fields, such as patient traits or health conditions, and data are updated many times
Patients' health and treatments are measured at more than one point in time
Data are displayed as a graph to better capture some types of content

In this study, the research team created three new methods. The team wanted to see if the new methods better protect patient privacy but also make sure data remain useful for research.
To access the methods and software, please visit the AIMS Group at Emory University.