TY - JOUR
T1 - Design representation of pain visualization coding
AU - Wang, Yirui
AU - Wu, Xiaoling
AU - Tang, Li
AU - Fei, Yingjie
AU - Guo, Hengyu
AU - Wang, Yujun
AU - Zhao, Wei
AU - Zheng, Siqian
AU - Sun, Bowen
AU - Wang, Xia
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2025
Y1 - 2025
N2 - This paper proposes an innovative method for visualizing pain by transforming complex pain metrics into intuitive visual codes, making pain expression more precise and easier to understand and empathize with. The system categorizes pain by type, source, intensity, and range, employing creative visual elements to vividly represent these categories. This design not only enhances the clarity and accuracy of pain communication but also bridges the gap between patient experience and medical interpretation, providing a more human-centered solution in the healthcare field.
AB - This paper proposes an innovative method for visualizing pain by transforming complex pain metrics into intuitive visual codes, making pain expression more precise and easier to understand and empathize with. The system categorizes pain by type, source, intensity, and range, employing creative visual elements to vividly represent these categories. This design not only enhances the clarity and accuracy of pain communication but also bridges the gap between patient experience and medical interpretation, providing a more human-centered solution in the healthcare field.
KW - Information visualization design
KW - Intelligent healthcare
KW - Pain translation
UR - http://www.scopus.com/pages/publications/105010676448
U2 - 10.1016/j.ipha.2024.11.001
DO - 10.1016/j.ipha.2024.11.001
M3 - Article
AN - SCOPUS:105010676448
SN - 2949-866X
JO - Intelligent Pharmacy
JF - Intelligent Pharmacy
ER -
