Inappropriate Access detection using Machine Learning

Detecting Inappropriate Access to Personal Health Information

While PHIPA has served Ontarians well over the last decade, rapid changes in technology and communications are demanding that we keep pace. With the growing use of electronic health records, the province needs a legislative framework that addresses the rights of individuals and the duties and obligations of health care providers in an electronic environment. Modernizing PHIPA will pave the way for a smooth and seamless transition toward 21st century health care while protecting our privacy.”   – Brian Beamish, Information and Privacy Commissioner of Ontario

 

Event:  2016 PHIPA Connections Summit www.phipasummit.ca

Using Machine Learning Healthcare to detect healthcare snoopers

Talk By Dr. Wael Hassan and Dr. Daniel Fabbri

Open Electronic Medical Record (EMR) access environments trade clinician efficiency for patient privacy. Monitoring EMR accesses for inappropriate use is challenging due to access volumes and hospital dynamics. This talk presents the Explanation-Based Auditing System, which uses machine learning to quickly identify suspicious accesses, improving compliance officer efficiency and patient privacy.

 

Featuring:

Daniel Fabbri
PhD. Assistant Professor of Biomedical Informatics and Computer Science, Vanderbilt University,
Maize Analytics
Daniel Fabbri, Ph.D., is an Assistant Professor of Biomedical Informatics in the School of Medicine at Vanderbilt University. He is also an Assistant Professor of Computer Science in the School of Engineering. His research focuses on database systems and machine learning applied to electronic medical records and clinical data. He developed the Explanation-Based Auditing System, which uses data mining techniques to help hospital compliance officers monitor accesses to electronic medical records in order to identify inappropriate use. He received a National Science Foundation Innovation Corps award to commercialize this auditing technology at Maize Analytics. Beyond research, he has participated in the A World In Motion program, which teaches elementary and middle school children physics through weekly interactive experiments such as building toy cars powered by balloons. He received his doctorate in computer science from the University of Michigan, Ann Arbor and a bachelor of science in computer science and engineering from the University of California, Los Angeles. Prior to joining Vanderbilt, he interned at Google, Microsoft Research, Goldman Sachs, Lockheed Martin and Yahoo. Students interested in research topics on machine learning, data management and the security of electronic medical records and clinical data? Please consider applying to the Vanderbilt Biomedical Informatics or Computer Science graduate programs. Selected Invited Talks: • The Open Web Application Security Project, Chicago, 2014. • Safeguarding Health Information: Building Assurance through HIPAA Security, U.S. Health and Human Services Department, Washington D.C., 2013. • Archimedes Workshop on Medical Device Security, University of Michigan, Ann Arbor, 2013.
Wael Hassan
Founder: Big Data, Privacy and Risk,
Ki Design Magazine
Dr. Waël Hassan is one of North Americas leading advisors on privacy and cyber security innovation. He serves as an advisor for both the political and industry organizations to help them better understand privacy and cyber security technology & adoption. He has in-depth knowledge of privacy laws across Canada, EU, and the US, along with, holds the first Canadian PhD in Validation of Legal Compliance. In his role Waël advances his clients’ interests on a range of issues, including internet freedom, cyber security, surveillance, disaster response, product certification, and risk metrics. Dr. Hasan founded KI DESIGN Magazine, http://magazine.kidesign.net, where he writes a regular column. Waël’s highly anticipated book, Privacy in Design: A practical guide for corporate compliance will be released in Spring 2017.

Digital Hospital of the Future

Dr. Hassan spoke at the digital conference of the future:

  • The state of health care data protection
  • Mobile health services and applications affected patient privacy
  • Steps needed to protect your business’ data from cyber threats?

About Digital Hospital of the Future, Canada 2016

Digital Hospital of the Future, Canada 2016 brings to the forefront future challenges in healthcare, discuss emerging trends and reveal best practices in the digital landscape that have the potential to revolutionize how hospitals function and their healthcare capabilities.

Hear from healthcare thought leaders on a wide variety of topics including leading technology solutions such as mobile health, digital health, health informatics systems and big data strategies, reinforcing cyber security, conquering eHealth silos and interoperability in healthcare. Besides gaining expert perspectives on significant healthcare trends and practices, network with fellow healthcare professionals to exchange insights and engage in meaningful debate on digital health issues.

It’s time for a digital revolution – take your organization’s healthcare capabilities to the next level and be equipped to overcome the healthcare challenges of the future at the Digital Hospital of the Future, Canada 2016. Learn from healthcare leaders on how technology has transformed care delivery and drive your organization in the digital direction.