This Special Track at IEEE CBMS 2021 invites contributions that address the issues of Privacy and Informed Consent, in healthcare, particularly in the context of current regulations on Privacy in Healthcare, such as the European General Data Protection Regulations (GDPR).
Privacy and Informed consent are particularly relevant in healthcare in the context of current interests in the valuable insights that can be inferred from the analysis of data generated and collected from a variety of devices and applications, and the implementation of the European General Data Protection Regulations (GDPR). The personal data that are gathered, processed, analysed and interpreted in healthcare are highly sensitive, directly impact an individual’s life and can increase the risk to their right to privacy.
Healthcare organisations and vendors are obliged to adopt privacy enhancing technologies (PETs) that protect data to ensure their clients’ privacy, and also allow data to be processed while keeping them meaningful, useful, and safe. Furthermore, data needs to be accessible for emergency situations and collaboration among healthcare staff. This Special Track provides a platform for research that aims in particular, to address the privacy concerns when data analytics tasks are performed by untrusted third-party data processors.
Topics
The topics include, but are not limited to:
- The design and development of cryptographic tools for privacy protection
- Privacy preservation in Machine Learning
- Usability studies of privacy protection in clinical settings
- Obtaining patient’s informed consent for data processing
- Utilising technology to validate a patient’s informed consent
- Methods of appraising patients of foreseeable risks
- Privacy and consent in Urgent and Emergency healthcare
- Methods for learning privacy-preserving features for machine learning, specially on time based signals (speech, video, accelerometer, and physiological data)
- Qualitative analysis of user concerns with regard to consent and maintaining privacy in healthcare contexts
- Privacy engineering to ensure privacy by design in health systems, particularly in mHealth and uHealth applications
Paper submission
- Prospective authors are invited to submit papers in any of the topics listed above.
- Instructions for preparing the manuscript (in Word and Latex formats) are available at: Call for Papers (main track)
- Please also check the Guidelines.
- Papers must be submitted electronically via the web-based submission system.
Organizers
- Bridget Kane, Karlstad University, Sweden
- Ala Sarah Alaqra, Karlstad University, Sweden
- Simone Fischer-Hubner, Karlstad University, Sweden
- John Soren Petterson, Karlstad University, Sweden
Program Committee
- Ala Sarah Alaqra, Karlstad University, Sweden
- Simone Fischer-Hubner, Karlstad University, Sweden
- Fasih Haider, University of Edinburgh, UK
- Leonardo Iwaya, University of Adelaide, Australia
- Bridget Kane, Karlstad University, Sweden
- Saturnino Luz, University of Edinburgh, UK
- John Soren Petterson, Karlstad University, Sweden
- Melek Onen, EURECOM, France
More Information
Easychair platform for submissions: https://easychair.org/conferences/?conf=cbms2021