Fateme Rajabiyazdi


Curriculum vitae


Experimental Surgery

McGill University

Patient-Generated Data Visualization Designs

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.

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The Challenges of Individuality to Technology Approaches to Personally Collected Health Data

Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale

PervasiveHealth '17, Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, ACM, New York, NY, USA, 2017, pp. 448--451

Exploring the Design of Patient-Generated Data Visualizations

Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale

Graphics Interface, ACM, Toronto, Canada, https://openreview.net/pdf?id=B4wNq9Rx8F, 2020 May 20