Health Figures: An Open Source JavaScript Library for Health Data Visualization
Andres Ledesma, Mohammed Al-Musawi, Hannu Nieminen

TL;DR
This paper introduces hFigures, an open source JavaScript library for visualizing health data evolution, validated through user evaluations showing high usability and aiding health data understanding.
Contribution
The paper presents hFigures, an improved health data visualization library inspired by hGraph, with features for comparing multiple measurements over time.
Findings
High usability scores from user evaluations
Effective in helping users understand health data
Supports comparison of health measurements over time
Abstract
The way we look at data has a great impact on how we can understand it, particularly when the data is related to health and wellness. Due to the increased use of self-tracking devices and the ongoing shift towards preventive medicine, better understanding of our health data is an important part of improving the general welfare of the citizens. Electronic Health Records, self-tracking devices and mobile applications provide a rich variety of data but it often becomes difficult to understand. We implemented the hFigures library inspired on the hGraph visualization with additional improvements. The purpose of the library is to provide a visual representation of the evolution of health measurements in a complete and useful manner. We researched the usefulness and usability of the library by building an application for health data visualization in a health coaching program. We performed a…
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