Health Informatics: Overview, Approaches, Challenges, and Applications


Health Informatics: Overview, Approaches, Challenges, and Applications

Since its emergence in the 1950s and 1960s, Health Informatics (HI) has become a hot and challenging interdisciplinary field in all three pillars of medical care, education, and research. With the advent of the Internet, supercomputers, cloud computing, smartphones, and many other technological innovations that have made their way into our everyday lives, HI has become an even more complex and multifaceted field and will only continue to grow with future advancements. Therefore, it will not only attract more health professions, but will also continue to appeal to scientists and researchers from a variety of other disciplines to make itself more enriched, with the ultimate goal of directly improving people’s quality of life in an equitable and cost-effective fashion, as well as to increase health literacy and consumer education.

On its way to reaching these objectives, HI is facing many challenges, including, but not limited to, storing and linking health data, converting health data to information and knowledge for decision support systems, data privacy and security, ethical concerns, cost of adopting technologies, lack of knowledge and education about new technologies and available tools, and many more.

In this talk, Dr. Samet will briefly go through an overview of HI, and some of its challenges, approaches, and applications, followed by a review of his previous and current research in this multidisciplinary field.

About the speaker:

Dr. Samet is a faculty member at the School of Computer Science, University of Windsor, and an adjunct professor at the e-Health Research Unit, Faculty of Medicine, Memorial University, where he was an assistant professor from 2012 to 2017. His research interests and activities are in privacy-preserving and security aspects of various applications, especially in the health sector, and health informatics. Prior to that, he was a Post-Doctoral Fellow at the e-Health Information Laboratory at the Children Hospital of Eastern Ontario Research Institute from 2010 to 2012. During his post-doc fellowship, he designed and developed several secure protocols for various health applications. He received his Ph.D. in Computer Science from the University of Ottawa in 2010 and his thesis title was "Privacy-Preserving Data Mining", in which he proposed and designed some protocols on privacy-preserving methods for standard data mining and machine learning techniques.


  Date and Time




  • 401 sunset avenue
  • Windsor, Ontario
  • Canada N9B 3P4
  • Building: CEI
  • Room Number: 3000

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