TY - JOUR
T1 - Communicating Patient Health Data
T2 - A Wicked Problem
AU - Rajabiyazdi, Fateme
AU - Perin, Charles
AU - Oehlberg, Lora
AU - Carpendale, Sheelagh
AU - Tory, Melanie
AU - Keefe, Daniel
N1 - Publisher Copyright:
© 1981-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - Designing patient-collected health data visualizations to support communicating patient data during clinical visits is a challenging problem due to the heterogeneity of the parties involved: patients, healthcare providers, and healthcare systems. Designers must ensure that all parties' needs are met. This complexity makes it challenging to find a definitive solution that can work for every individual. We have approached this research problem-communicating patient data during clinical visits-as a wicked problem. In this article, we outline how wicked problem characteristics apply to our research problem. We then describe the research methodologies we employed to explore the design space of individualized patient data visualization solutions. Lastly, we reflect on the insights and experiences we gained through this exploratory design process. We conclude with a call to action for researchers and visualization designers to consider patients' and healthcare providers' individualities when designing patient data visualizations.
AB - Designing patient-collected health data visualizations to support communicating patient data during clinical visits is a challenging problem due to the heterogeneity of the parties involved: patients, healthcare providers, and healthcare systems. Designers must ensure that all parties' needs are met. This complexity makes it challenging to find a definitive solution that can work for every individual. We have approached this research problem-communicating patient data during clinical visits-as a wicked problem. In this article, we outline how wicked problem characteristics apply to our research problem. We then describe the research methodologies we employed to explore the design space of individualized patient data visualization solutions. Lastly, we reflect on the insights and experiences we gained through this exploratory design process. We conclude with a call to action for researchers and visualization designers to consider patients' and healthcare providers' individualities when designing patient data visualizations.
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U2 - 10.1109/MCG.2021.3112845
DO - 10.1109/MCG.2021.3112845
M3 - Article
C2 - 34890317
AN - SCOPUS:85121665372
SN - 0272-1716
VL - 41
SP - 179
EP - 186
JO - IEEE Computer Graphics and Applications
JF - IEEE Computer Graphics and Applications
IS - 6
ER -