International Society for Quality of Life Research
International Society for Quality of Life Research

Plenary Sessions

Plenary 1: Digital self tracking to support patient self-management

Thursday, 25 October | 8:30 am – 10:00 am

There is increasing interest in the digital collection and use of PRO data by patients to support self-management of long term conditions. In this plenary, we will explore the opportunities and challenges of digital self-tracking from different perspectives.

Chair: Kevin Weinfurt, PhD, Duke University, Durham, NC, United States



Plenary 2: Cutting Edge Research

Thursday, 25 October  | 10:50 am – 12:05 pm

Sponsored by:




The Cutting Edge Research plenary session features some of the highest-ranked, innovative research from ISOQOL abstract submissions. In particular, these abstracts reflect research that truly “pushes the ISOQOL envelope” in providing new and different ways to look at quality of life.

Chair: Tom Willgoss, PhD, Roche Products Ltd., Welwyn Garden City, United Kingdom


  1. Yuelin Li, PhD, Memorial Sloan Kettering Cancer Center, New York, NY, United States
    Leveraging Big Data analytics in processing free-text entries of personal goals among patients undergoing bladder cancer surgery
  2. Kyle Kemp, MSc, PhD Candidate, University of Calgary, PhD Candidate, Calgary, Alberta, Canada
    Visualization of Patient-Reported Experience Measures: Opportunities for Quality and Health System Improvements
  3. I-Chan Huang, PhD, St. Jude Children's Research Hospital, Memphis, TN, United States
    Longitudinal patient-reported cumulative symptom burden as an indicator of chronic health conditions in adult survivors of childhood cancer: a follow-up study of 25 years
  4. Adrian Levitsky, PhD, Division of Innovative Care Research, Department of Learning, Informatics, Management, and Ethics (LIME); Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
    Analysis of early predictive lung cancer symptoms and sensations by orthogonal projections to latent structures (OPLS)


Plenary 3: Big data to support research and health care

Friday, 26 October | 9:00 am – 10:30 am

Sponsored by:

Digital data capture is now commonplace in everyday life – from public and patients recording health data using apps and digital tracking devices to consumer data from our online purchases. Key questions are whether and how these data can be brought together to improve health and the implications of data sharing for personal privacy and citizenship. In this plenary, we explore the opportunities and challenges that big data brings.

Chair: Claire Snyder, PhD, Johns Hopkins School of Medicine, Baltimore, MD, United States



Plenary 4: Generalizability of validity data across diseases and treatment settings: when is enough, enough?

Saturday, 27 October | 11:00 am – 12:30 pm

Sponsored by:




This past two years has seen a trend toward recognizing that a given HRQoL questionnaire that measures a common and reasonably well-defined concept can be regarded as valid, and even “fit for purpose” if it has been tested and proven valid in many settings and diseases, but not necessarily the proposed new disease. In this plenary, we consider what the use of PROs in the digital age means for the concept of validity and how we apply PROs in drug development and trials.

Chair: Madeleine King, PhD, University of Sydney, Sydney, Australia



555 East Wells Street, Suite 1100, Milwaukee, WI USA 53202
Phone: +1 (414) 918-9797; Fax: +1 (414) 276-3349

Facebook Twitter LinkedIn

Throughout the website, ISOQOL provides outside resources that may provide assistance to people interested in health-related quality of life and its assessment. It is recommended that readers conduct their own evaluation of the information outside of ISOQOL activities.


Home  |  About ISOQOL  |  Membership  |  Research & Publications  |  Education & Events  |  Special Interest Groups  |  Job Board  |  Site Map
© Copyright 2019 International Society for Quality of Life Research. All rights Reserved.