@inproceedings{3837606af4394f85a1e68f381d59fce6,
title = "Supporting collaborative use of self-tracking data in the context of healthcare and chronic conditions",
abstract = "Recent growth in the use of consumer self-tracking technologies has attracted attention from patients and healthcare providers alike, while researchers have begun to explore its value in the context of chronic health conditions. Sensemaking challenges faced by patients and clinicians have shifted the focus of self-tracking studies towards co-interpretation. Yet workflow constraints and conflicting interests remain barriers to the integration of self-tracking data into clinical conversations. My research aims to address these issues with designs of interactive systems that support the collaborative use of patient self-tracking data.",
keywords = "Ankylosing spondylitis, Chronic conditions, Personal informatics, Self-tracking",
author = "William Hue",
year = "2019",
month = jun,
day = "18",
doi = "10.1145/3301019.3324877",
language = "English",
series = "DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference",
publisher = "Association for Computing Machinery",
pages = "93--96",
booktitle = "DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference",
address = "USA United States",
note = "2019 ACM Conference on Designing Interactive Systems, DIS 2019 ; Conference date: 23-06-2019 Through 28-06-2019",
}