Privacy and security rules of Health Insurance Portability and Accountability Act (HIPAA) protect the privacy of individually identifiable health information and set national standards for the security of electronically protected health information.
Similarly, Patient Safety and Quality Improvement Act (PSQIA) protects identifiable information being used to analyze patient safety events and improve patient safety. For compliance, the researchers and practitioners in the medical and pharmaceutical fields employ different techniques to protect sensitive patient information while conducting their research. Widely used approaches include removing sensitive demographics information from the datasets and using aggregated data.
This webinar compared several popular statistical tools and machine learning techniques used for such medical research and examines the limitations of those techniques in terms of their ability to protect sensitive healthcare data in the cloud.
Dr. Ibrahim Mescioglu is an Assistant Professor of Management Information Systems at Lewis University. His research interests are recommendation systems, e-collaboration, and segmentation/clustering technologies. He received his Master's and Ph.D. degrees in Management Information Systems from the University of Texas at Dallas. He has worked as a software consultant and systems analyst.
This event was presented by Lewis University’s Institute for Information Assurance and the Graduate School of Management.