Puya: a method of attracting attention to relevant physical findings.

W D de Estrada, S Murphy, G O Barnett
{"title":"Puya: a method of attracting attention to relevant physical findings.","authors":"W D de Estrada,&nbsp;S Murphy,&nbsp;G O Barnett","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Puya is a method that compares the physical exam in an electronic clinical note with a set of stereotypical physical exam sentences that have been previously classified as \"normal\". The note is then displayed in a web browser with normal findings clearly delineated. The list of stereotypical sentences comes from a set of physical findings found within extensive electronic medical record. This list is then screened to select only those that represent \"normal\" findings, a process that yields 96% total agreement among 4 clinicians surveyed. This final list of stereotypical \"normal\" sentences accounts for 64% of the clinical narrative text. Sentences in the clinical note that do not match sentences in the \"normal\" list are assumed to be \"abnormal\". Puya screened 98 clinical notes consisting of 610 individual sentences. Puya achieved a sensitivity of 100%, a specificity of 63%, a positive predictive value of 44% and a negative predictive value of 100%. This leads to an application that reduces informational noise.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"509-13"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233598/pdf/procamiaafs00001-0545.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","FirstCategoryId":"1085","ListUrlMain":"","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

Puya is a method that compares the physical exam in an electronic clinical note with a set of stereotypical physical exam sentences that have been previously classified as "normal". The note is then displayed in a web browser with normal findings clearly delineated. The list of stereotypical sentences comes from a set of physical findings found within extensive electronic medical record. This list is then screened to select only those that represent "normal" findings, a process that yields 96% total agreement among 4 clinicians surveyed. This final list of stereotypical "normal" sentences accounts for 64% of the clinical narrative text. Sentences in the clinical note that do not match sentences in the "normal" list are assumed to be "abnormal". Puya screened 98 clinical notes consisting of 610 individual sentences. Puya achieved a sensitivity of 100%, a specificity of 63%, a positive predictive value of 44% and a negative predictive value of 100%. This leads to an application that reduces informational noise.

普亚:一种将注意力吸引到相关物理发现上的方法。
Puya是一种将电子临床记录中的体检结果与之前被归类为“正常”的一组常规体检句子进行比较的方法。然后,该笔记将显示在web浏览器中,并清晰地描述正常的发现。刻板印象语句列表来自大量电子病历中的一组物理发现。然后对该列表进行筛选,只选择那些代表“正常”结果的列表,这一过程在接受调查的4名临床医生中产生了96%的一致性。这个最终的“正常”句子列表占临床叙事文本的64%。临床记录中与“正常”列表中的句子不匹配的句子被认为是“异常”的。Puya筛选了98份临床记录,包括610个单独的句子。Puya的敏感性为100%,特异性为63%,阳性预测值为44%,阴性预测值为100%。这导致应用程序减少了信息噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信