Privacy, Ethics & Trust in Connected Healthcare
Join us for the Privacy, Ethics & Trust in Connected Healthcare Workshop cosponsored by IEEE and the Northeast Big Data Innovation Hub on April 28th, 2021 from 11am to 2pm ET. Our keynote panel includes Dr. Julia Stoyanovich, Assistant Professor, Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science, New York University, Shaneel Pathak, CEO & Co-Founder of Zoe Insights, Dr. Jeannette Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University, Dipak Kalra, MD, President of The European Institute for Innovation through Health Data, and Deborah C. Peel, MD, Founder and President of Patient Privacy and Rights and Creator of The International Summits on the Future of Health Privacy. The panel will be moderated by Maria Palombini, Director of the IEEE SA Healthcare & Life Sciences Practice.
This workshop will convene stakeholders from healthcare providers, medical device manufacturers, research, patient advocates, regulators and payors involved in the design and development of connected health systems. Workshop participants will explore the latest technologies, challenges, and regulations regarding privacy, ethics and trust for connected health IoT systems, and make recommendations for the future. The learning outcomes and topics for discussion will include but are not limited to:
– Identifying data protection and privacy consideration when designing and developing new devices and connections to legacy systems and devices, to improve trust among people using IoT devices and systems, and trust in device to device connections.
– Identification of the ethical issues that need to be addressed with connected health IoT. E.g Individual rights; autonomy, privacy and confidentiality; ownership of the data; necessity and proportionality; beneficence and nonmaleficence. How do we satisfy these ethical requirements in designing and developing connected health IoT solutions?
– Identification of frameworks, standards and legal regulations related to privacy in connected health IoT based system.
– Examples of good practices, lessons learned, successful products, projects, services, and pertinent stories related to connected healthcare privacy, ethics and trust.
Learn more about the Global Connected Healthcare Cybersecurity Virtual 2021 Workshop Series:
This is the second in the Global Connected Healthcare Cybersecurity Virtual 2021 Workshop Series presented by the IEEE Standards Association, IEEE P2933™ Working Group, and the Northeast Big Data Innovation Hub headquartered at Columbia University.
Workshop 1: 24 February 2021 – Global Connected Healthcare Cybersecurity Risks and Roadmap
Workshop 2: 28 April 2021 – Privacy, Ethics & Trust in Connected Healthcare
Workshop 3: 16 June 2021 – Data & Device Identity, Validation & Interoperability in Connected Healthcare
Workshop 4: 22 September 2021 – Connected Healthcare Integrated Systems Design
Workshop 5: 17 November 2021 – Connected Healthcare Technology and Policy Considerations
Participants will include healthcare, technology, data science, research, and policy experts in the connected healthcare ecosystem. Professionals and students are welcome to attend.
This series will convene a global community of leaders in healthcare, technology, and policy to develop mutual understanding and recommendations for standards to improve connected healthcare cybersecurity. The workshop series will delve into challenges and opportunities in connected healthcare cybersecurity, privacy, ethics, trust, and identity, including data and device validation and interoperability. Resulting recommendations will include an Integrated Systems Design approach, leveraging the TIPPSS framework being developed by IEEE working groups to enhance Trust, Identity, Privacy, Protection, Safety, and Security of clinical IoT and connected healthcare systems globally. Learnings will include:
– Understanding the risks and threat vectors in connected healthcare and IoT systems
– Advanced technologies which may be leveraged to address the risks, such as artificial intelligence, machine learning, and hardware/firmware/software security advances
– Standards efforts and related technology and policy opportunities to address the risks