Information Consent Best Practice

information consent best practice

Information Consent Best Practice

Data-driven healthcare will result in a “tsunami” of information from existing and new data sources including patient-generated data from genetic testing, consumer devices such as wearable fitness apps, and social media. How can clinicians and researchers utilise this data to help consumers achieve better health outcomes? How can consumers control who has access to their data? This research project examines legal and regulatory requirements around the consent to use health-related data in New Zealand, Australia, the European Union and the United States of America, and recommends changes and enhancements to existing practices.



PI: Muhammad Rizwan Asghar – Senior Lecturer in the Department of Computer Science at The University of Auckland Mirza Mansoor Baig – Research Team, Orion Health Giovanni Russello – Cyber Security Foundry, The University of Auckland TzeHowe Lee – Cyber Security Foundry, The University of Auckland Ehsan Ullah – Clinical Quality and Safety Service, Auckland District Health Board Gillian Dobbie – Cyber Security Foundry, The University of Auckland