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Keynote Lectures

Capitalizing on Patient Reported Outcome Measures, Wearables, and Smartphones Towards Developing New Clinical Decision Support Tools for Frequent, Remote, Longitudinal Monitoring of Chronic Disorders
Athanasios Tsanas, University of Edinburgh, United Kingdom

Available Soon
Thomas Ostermann, Universität Witten/Herdecke, Germany

 

Capitalizing on Patient Reported Outcome Measures, Wearables, and Smartphones Towards Developing New Clinical Decision Support Tools for Frequent, Remote, Longitudinal Monitoring of Chronic Disorders

Athanasios Tsanas
University of Edinburgh
United Kingdom
 

Brief Bio
Thanasis studied Engineering for his undergraduate and MSc degrees and completed a PhD in Applied Mathematics at the University of Oxford (2012). He continued working at the University of Oxford as a Research Fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016), and Lecturer in Statistical Research Methods (2016-2019); he joined the Usher InstituteEdinburgh Medical SchoolUniversity of Edinburgh in January 2017 as an Assistant/Associate Prof. in Data Science (tenure-track). He secured tenure a year early, in December 2019. Thanasis founded and leads the inter-disciplinary Data Analytics Research and Technology in Healthcare (DARTH) group (www.darth-group.com). He received the Andrew Goudie award (top PhD student across all disciplines, St. Cross, University of Oxford, 2011), the EPSRC Doctoral Prize award (2012), won the annual Physionet competition on 'Predicting mortality of ICU patients' (2012, as a key member of the Oxford biomedical engineering team) the young scientist award (MAVEBA, 2013), the EPSRC Statistics and Machine Learning award (2015), and won a ‘Best reviewer award’ from the IEEE Journal of Biomedical Health Informatics (2015). One of his research papers has been highlighted as a ‘key scientific article’ in Renewable Energy and Global Innovations, whilst some of his work has been covered in the media including Reuters. He leads the development and delivery of the 'Clinical Decision Support and Actionable Data Analytics' theme in the NHS Digital Academy, an innovative leadership programme in the UK which aims to annually train 100 CIOs and CCIOs and transform the NHS. He sits on the Editorial Boards of JMIR Mental Health and JMIR mHealth and uHealth. He is a Senior Member of IEEE, a Fellow of the Higher Education Academy, and a Fellow of the Royal Society of Medicine.


Abstract
Chronic disorders strain national health systems worldwide, and require patients’ regular longitudinal monitoring to optimize treatment and decide on optimal interventions. In this talk, I will highlight and describe approaches we have developed to process a range of data modalities including patient reported outcome measures and passively collected data such as actigraphy, heart rate, and geolocation to monitor people with bipolar disorders, borderline personality disorders, post-traumatic stress disorders, and stroke. Collectively, these findings illustrate the potential of capitalizing increasingly available sensors and data along with smart algorithmic processing tools to develop novel, affordable, easy-to-use clinical decision support tools to improve patient care.



 

 

Keynote Lecture

Thomas Ostermann
Universität Witten/Herdecke
Germany
 

Brief Bio
Available Soon


Abstract
Available Soon



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