Fateme Rajabiyazdi


Postdoc


Curriculum vitae

fatemeh​.rajabiyazdi​@mail​.mcgill​.ca

Experimental Surgery


McGill University


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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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Publications


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