Yirui Wang , Xiaoling Wu , Li Tang , Yingjie Fei , Hengyu Guo , Yujun Wang , Wei Zhao , Siqian Zheng , Bowen Sun , Xia Wang
{"title":"Design representation of pain visualization coding","authors":"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","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":100682,"journal":{"name":"Intelligent Pharmacy","volume":"3 4","pages":"Pages 304-307"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949866X24001175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.