Description
We conducted a systematic review to evaluate the state of the science of patient-facing visualizations of their personal health data. Overall, we found limited evidence about specific visualization types and components related to comprehension, in part due to wide variations in methodologies and outcome measures. The informatics community and others engaged in this work would benefit from efforts to standardize best practices for the design, development, and evaluation of patient-facing visualizations.
Learning Objective: To understand the state of the science regarding patient-facing visualizations of their own health data.
Authors:
Annie Myers (Presenter)
Weill Cornell Medical College Health Policy and Research
Samuel Isaac, Weill Cornell Medical College Health Policy and Research
Ruth Creber, Weill Cornell Medical College Health Policy and Research
Meghan Reading Turchioe, Weill Cornell Medical College Health Policy and Research
Presentation Materials: