Patient-Generated Data Visualization Designs


F. Rajabiyazdi, C. Perin , L. Oehlberg, S. Carpendale. Exploring the Design of Patient-Generated Data Visualizations, To appear in the Proceedings of Graphics Interface, May 2020, ACM. * Invited to submit an extended version to IEEE TVCG PDF
F. Rajabiyazdi. Exploring the Design of Visualizations to Facilitate Patient-Provider Communication, PhD Thesis, University of Calgary, December 2018, Link
F. Rajabiyazdi, C. Perin, L. Oehlberg, S. Carpendale. Personal Patient-Generated Data Visualizations for Diabetes Patients, Presented at the IEEE Information Visualization Conference, VIS'18, Berlin, Germany, 2018. PDF


Patients with chronic conditions are usually advised or are self-motivated to track their health data at home and present this data to the healthcare providers during clinical visits. However, often these patient-generated data collections are large, complex and individual. It makes it challenging and time-consuming for providers to understand this data during a short clinical visit. We interviewed four diabetes patients and obtained a sample of their data collections to understand their personal lifestyle and perspectives on the process of tracking, recording, and presenting their data. Based on the information we gathered from patients in our study, we designed various personal visualizations tailored to the patients.