Design representation of pain visualization coding

Yirui Wang; Xiaoling Wu; Li Tang; Yingjie Fei; Hengyu Guo; Yujun Wang; Wei Zhao; Siqian Zheng; Bowen Sun; Xia Wang

doi:10.1016/j.ipha.2024.11.001

Design representation of pain visualization coding

Yirui Wang
, Xiaoling Wu
, Li Tang
, Yingjie Fei
, Hengyu Guo
, Yujun Wang
, Wei Zhao
, Siqian Zheng
, Bowen Sun^*
, Xia Wang^*

^*Corresponding author for this work

School of Arts and Design

Beijing Institute of Technology
Lanzhou University
Technical University of Munich
Guangzhou Medical College
Zhuhai People's Hospital
Tsinghua University

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	304-307
Number of pages	4
Journal	Intelligent Pharmacy
Volume	3
Issue number	4
DOIs	https://doi.org/10.1016/j.ipha.2024.11.001
Publication status	Published - Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Information visualization design
Intelligent healthcare
Pain translation

Access to Document

10.1016/j.ipha.2024.11.001

Cite this

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title = "Design representation of pain visualization coding",

abstract = "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.",

keywords = "Information visualization design, Intelligent healthcare, Pain translation",

author = "Yirui Wang and Xiaoling Wu and Li Tang and Yingjie Fei and Hengyu Guo and Yujun Wang and Wei Zhao and Siqian Zheng and Bowen Sun and Xia Wang",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2025",

month = aug,

doi = "10.1016/j.ipha.2024.11.001",

language = "English",

volume = "3",

pages = "304--307",

journal = "Intelligent Pharmacy",

issn = "2949-866X",

publisher = "KeAi Publishing Communications Ltd.",

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}

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

PY - 2025/8

Y1 - 2025/8

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 - https://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

VL - 3

SP - 304

EP - 307

JO - Intelligent Pharmacy

JF - Intelligent Pharmacy

IS - 4

ER -

Design representation of pain visualization coding

Abstract

UN SDGs

Keywords

Access to Document

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