How Tulsa Is Preserving Privacy and Sharing Data for Social Good
Author(s): Bean, A., Jaynes, J., Sexton, TJ.
Published by AISP
From the author(s): Data sharing between organizations addressing social risk factors has the potential to amplify impact by increasing direct service capacity and efficiency. Unfortunately, the risks of and restrictions on sharing personal data often limit this potential, and adherence to regulations such as HIPAA and FERPA can make data sharing a significant challenge. Through the development of new technologies such as secure multi-party computation (MPC), communities have an opportunity to share individual-level data without exposing personally identifiable information (PII). In this white paper, we describe the process of using MPC technology to answer questions that can aid service providers in exploring the barriers that underserved populations may be facing. The first question we asked: what is the overlap of populations served by two distinct organizations? The results of the overlap analysis confirmed that a significant opportunity exists to increase access to services for a subset of individuals through better outreach.
Bean, A., Jaynes, J., Sexton, TJ. (2019). How Tulsa is Preserving Privacy and Sharing Data for Social Good. https://dashconnect.org/wp-content/uploads/2019/08/2019.07.15-_-DASH-CIC-START-Final-White-Paper.pdf