• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Accuracy of data in computer-based patient records.基于计算机的患者记录中数据的准确性。
J Am Med Inform Assoc. 1997 Sep-Oct;4(5):342-55. doi: 10.1136/jamia.1997.0040342.
2
The computer-based record: patient moving from concept toward reality.基于计算机的记录:患者从概念走向现实。
Int J Biomed Comput. 1996 Jul;42(1-2):9-19. doi: 10.1016/0020-7101(96)01176-2.
3
Eyetrack (ET) vs the conventional paper record (CPR): a study comparing the accuracy and speed of data retrieval from glaucoma patient records.眼动追踪(ET)与传统纸质记录(CPR):一项比较从青光眼患者记录中检索数据的准确性和速度的研究。
Eye (Lond). 2006 Jan;20(1):80-3. doi: 10.1038/sj.eye.6701813.
4
The computerized patient record: where do we stand ?计算机化患者记录:我们目前的状况如何?
Yearb Med Inform. 2006:29-39.
5
Family practice educators' perceptions of computer-based patient records.家庭医学教育工作者对基于计算机的患者记录的看法。
Fam Med. 1995 Oct;27(9):571-5.
6
A qualitative investigation of the content of dental paper-based and computer-based patient record formats.基于纸质和计算机的牙科患者记录格式内容的定性调查。
J Am Med Inform Assoc. 2007 Jul-Aug;14(4):515-26. doi: 10.1197/jamia.M2335. Epub 2007 Apr 25.
7
Explosive growth in CPRs: evaluation criteria needed.心肺复苏术的迅猛增长:需要评估标准。
Healthc Inform. 1995 Feb;12(2):110, 112, 114.
8
Aspects of CPRs (computerized patient record) & organizational redesign.计算机化患者记录(CPRs)的相关方面及组织重新设计。
Healthc Inform. 1993 Jun;10(6):28, 30.
9
A multi-strategy approach for medical records of specialists.一种针对专科医生病历的多策略方法。
Int J Biomed Comput. 1996 Jul;42(1-2):21-6. doi: 10.1016/0020-7101(96)81525-x.
10
Delving into computer-assisted coding.深入探究计算机辅助编码。
J AHIMA. 2004 Nov-Dec;75(10):48A-48H.

引用本文的文献

1
Artificial intelligence-enhanced mapping of the international classification of functioning, disability and health via a mobile app: a randomized controlled trial.通过移动应用程序利用人工智能增强对《国际功能、残疾和健康分类》的映射:一项随机对照试验
Front Public Health. 2025 Aug 5;13:1590401. doi: 10.3389/fpubh.2025.1590401. eCollection 2025.
2
Data from Routine Primary Healthcare: Opportunities and Threats for Obesity Epidemiological Research.来自常规初级医疗保健的数据:肥胖流行病学研究的机遇与威胁
Port J Public Health. 2025 Apr 2:1-4. doi: 10.1159/000545337.
3
Streamlining data recording through optical character recognition: a prospective multi-center study in intensive care units.通过光学字符识别简化数据记录:重症监护病房的一项前瞻性多中心研究。
Crit Care. 2025 Mar 18;29(1):117. doi: 10.1186/s13054-025-05347-1.
4
Quality of registration and adherence to guidelines for blood management in CABG surgeries: a case study.冠状动脉旁路移植术(CABG)手术中血液管理的登记质量及对指南的遵循情况:一项案例研究
J Cardiothorac Surg. 2025 Jan 20;20(1):78. doi: 10.1186/s13019-024-03331-4.
5
With big data comes big responsibility: Strategies for utilizing aggregated, standardized, de-identified electronic health record data for research.大数据带来重大责任:利用汇总、标准化、去标识化电子健康记录数据进行研究的策略。
Clin Transl Sci. 2025 Jan;18(1):e70093. doi: 10.1111/cts.70093.
6
Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine.用于推进精准医学的统一临床词汇嵌入
medRxiv. 2024 Dec 10:2024.12.03.24318322. doi: 10.1101/2024.12.03.24318322.
7
Assessing the Effect of Electronic Health Record Data Quality on Identifying Patients With Type 2 Diabetes: Cross-Sectional Study.评估电子健康记录数据质量对识别2型糖尿病患者的影响:横断面研究。
JMIR Med Inform. 2024 Aug 27;12:e56734. doi: 10.2196/56734.
8
Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed.临床研究中数据处理方法的错误率:通过PubMed识别的手稿的系统评价和荟萃分析
Res Sq. 2023 Dec 21:rs.3.rs-2386986. doi: 10.21203/rs.3.rs-2386986/v2.
9
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review.电子健康记录用户界面特征与患者临床信息数据质量之间的关系:综合述评。
J Am Med Inform Assoc. 2023 Dec 22;31(1):240-255. doi: 10.1093/jamia/ocad188.
10
Establishing Trust in Pharmaceutical Data with an Independent Verification and Validation Methodology.采用独立验证和确认方法建立药物数据信任。
AMIA Annu Symp Proc. 2023 Apr 29;2022:329-338. eCollection 2022.

本文引用的文献

1
The accuracy of medication data in an outpatient electronic medical record.门诊电子病历中用药数据的准确性。
J Am Med Inform Assoc. 1996 May-Jun;3(3):234-44. doi: 10.1136/jamia.1996.96310637.
2
Using belief networks to enhance sharing of medical knowledge between sites with variations in data accuracy.利用信念网络加强数据准确性存在差异的各站点之间的医学知识共享。
Proc Annu Symp Comput Appl Med Care. 1995:218-22.
3
Development and validation of an immunization tracking system in a large health maintenance organization.大型健康维护组织中免疫接种追踪系统的开发与验证
Am J Prev Med. 1993 Mar-Apr;9(2):96-100.
4
Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records.计算机化患者麻醉记录:比手工制作的麻醉记录耗时更少且质量更高。
J Clin Anesth. 1993 Jul-Aug;5(4):275-83. doi: 10.1016/0952-8180(93)90118-x.
5
Markers of data quality in computer audit: the Manchester Orthopaedic Database.计算机审计中的数据质量指标:曼彻斯特骨科数据库
Ann R Coll Surg Engl. 1993 Nov;75(6):393-6.
6
Evaluating the accuracy of transcribed computer-stored immunization data.评估转录的计算机存储免疫数据的准确性。
Pediatrics. 1994 Dec;94(6 Pt 1):902-6.
7
Quality assurance for interventions in clinical trials. Multicenter data monitoring, data management, and analysis.临床试验干预措施的质量保证。多中心数据监测、数据管理与分析。
Cancer. 1994 Nov 1;74(9 Suppl):2647-52. doi: 10.1002/1097-0142(19941101)74:9+<2647::aid-cncr2820741811>3.0.co;2-x.
8
Computer-prompted diagnostic codes.计算机提示的诊断代码。
J Fam Pract. 1995 Mar;40(3):257-62.
9
Systems analysis of adverse drug events. ADE Prevention Study Group.药物不良事件的系统分析。药物不良事件预防研究小组。
JAMA. 1995 Jul 5;274(1):35-43.
10
An assessment of data quality in the Vermont-Oxford Trials Network database.佛蒙特-牛津试验网络数据库中的数据质量评估。
Control Clin Trials. 1995 Feb;16(1):51-61. doi: 10.1016/0197-2456(94)00019-y.

基于计算机的患者记录中数据的准确性。

Accuracy of data in computer-based patient records.

作者信息

Hogan W R, Wagner M M

机构信息

Center for Biomedical Informatics, University of Pittsburgh, PA, USA. wrh3+@pitt.edu

出版信息

J Am Med Inform Assoc. 1997 Sep-Oct;4(5):342-55. doi: 10.1136/jamia.1997.0040342.

DOI:10.1136/jamia.1997.0040342
PMID:9292840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC61252/
Abstract

Data in computer-based patient records (CPRs) have many uses beyond their primary role in patient care, including research and health-system management. Although the accuracy of CPR data directly affects these applications, there has been only sporadic interest in, and no previous review of, data accuracy in CPRs. This paper reviews the published studies of data accuracy in CPRs. These studies report highly variable levels of accuracy. This variability stems from differences in study design, in types of data studied, and in the CPRs themselves. These differences confound interpretation of this literature. We conclude that our knowledge of data accuracy in CPRs is not commensurate with its importance and further studies are needed. We propose methodological guidelines for studying accuracy that address shortcomings of the current literature. As CPR data are used increasingly for research, methods used in research databases to continuously monitor and improve accuracy should be applied to CPRs.

摘要

基于计算机的患者记录(CPR)中的数据除了在患者护理中发挥主要作用外,还有许多其他用途,包括研究和卫生系统管理。尽管CPR数据的准确性直接影响这些应用,但人们对CPR数据准确性的关注只是零星的,之前也没有对其进行过综述。本文回顾了已发表的关于CPR数据准确性的研究。这些研究报告的准确性水平差异很大。这种变异性源于研究设计、所研究数据类型以及CPR本身的差异。这些差异混淆了对该文献的解读。我们得出结论,我们对CPR数据准确性的了解与其重要性不相称,需要进一步研究。我们提出了研究准确性的方法指南,以解决当前文献的不足之处。随着CPR数据越来越多地用于研究,研究数据库中用于持续监测和提高准确性的方法应应用于CPR。