Providing Evidence and Developing a Toolkit to Accelerate the Adoption of Patient Photographs in Electronic Health Records

提供证据并开发工具包以加速电子健康记录中患者照片的采用

基本信息

项目摘要

Placing orders on the wrong patient in Electronic Health Records (EHRs) is one of the most significant Health Information Technology (IT) Safety challenges healthcare organizations face today. To prevent these errors, the Office of the National Coordinator for Health IT (ONC) “SAFER Guide” recommends displaying patient photographs in EHRs, but the vast majority of healthcare systems have not adopted this practice. In a national survey, respondents cited lack of evidence that photographs improve safety and implementation challenges as major barriers to adoption. The goals of this project are to provide rigorous evidence that patient photographs prevent wrong-patient errors, and to develop an AHRQ Health IT Toolkit to guide healthcare organizations through the implementation process. Successful completion of this project will provide evidence and resources to accelerate adoption of patient photographs in EHRs to prevent wrong-patient errors. Because implementation of patient photographs may vary across organizations and EHR systems, a collaborative approach has a high likelihood of success and potential for broad applicability. The proposed research will be conducted by experienced investigators at Columbia University Medical Center and Johns Hopkins Medicine, in collaboration with the ECRI Institute's Partnership for Health IT Patient Safety. This multi- stakeholder collaborative, representing large healthcare systems, researchers, patient safety organizations, EHR vendors, and patient safety experts, will produce results that are rigorous and generalizable. We will pursue the following specific aims: Aim 1) Provide rigorous evidence for the efficacy of displaying patient photographs in EHRs by conducting a multisite, cluster randomized controlled trial comparing the frequency of wrong-patient orders among providers randomized to view order screens with versus without patient photographs; Aim 1A) Conduct subanalyses to identify factors that impact the effectiveness of patient photographs on the frequency of wrong-patient orders, including characteristics of providers, patients, and order sessions; Aim 2) Demonstrate generalizability by conducting multiple before- after implementation studies using different EHR systems to evaluate the effectiveness of patient photographs for reducing the frequency of wrong-patient orders across sites and EHR systems; Aim 3) Provide implementation guidance for displaying patient photographs in EHRs by developing the first AHRQ Health IT Toolkit, “Implementing Patient Photographs in EHR Systems”; and Aim 3A) Conduct a qualitative evaluation to examine user perceptions and experience of patient photographs in the different EHR systems, including staff, providers, and patients. This proposal responds to AHRQ Special Emphasis Notice (NOT-HS-16-009), requesting applications to “conduct research on safe health IT practices specifically related to the design, implementation, usability, and safe use of health IT” that would “inform health IT certification and other forms of policy guidance.”
在电子健康记录(EHR)中对错误的患者下订单是最重要的问题之一 医疗信息技术(IT)医疗保健组织目前面临的安全挑战。防止这些 错误,国家卫生信息技术协调员办公室(ONC)“安全指南”建议显示 电子病历中的患者照片,但绝大多数医疗保健系统还没有采用这种做法。中 在一项全国性调查中,受访者指出,缺乏证据表明照片可以改善安全性和实施情况 挑战是采用的主要障碍。该项目的目标是提供严格的证据, 照片防止错误的病人错误,并开发一个AHRQ健康IT工具包,以指导医疗保健 组织在实施过程中。该项目的成功完成将提供证据 和资源,以加快采用病人的照片在电子病历,以防止错误的病人错误。 由于患者照片的实现可能因组织和EHR系统而异, 协作方法成功的可能性很大,并具有广泛适用的潜力。拟议 研究将由哥伦比亚大学医学中心和约翰斯大学的经验丰富的研究人员进行。 霍普金斯医学,与ECRI研究所的合作伙伴关系健康IT患者安全。这多- 利益相关者合作,代表大型医疗保健系统,研究人员,患者安全组织, EHR供应商和患者安全专家将产生严格和可推广的结果。 我们将追求以下具体目标:目标1)提供严格的证据, 通过进行多中心、整群随机对照试验,在EHR中显示患者照片 比较随机查看订单屏幕的提供者之间错误患者订单的频率, 与没有患者照片的情况相比;目标1A)进行子分析以识别影响 患者照片对错误患者订单频率的有效性,包括 提供者,患者和订单会话;目标2)通过进行多个之前- 实施研究后,使用不同的EHR系统,以评估患者照片的有效性 减少跨站点和EHR系统的错误患者订单的频率;目标3)提供 通过开发第一个AHRQ健康信息技术,在EHR中显示患者照片的实施指南 工具包,“在电子健康记录系统中实施患者照片”;以及目标3A)进行定性评估, 检查不同EHR系统中患者照片的用户感知和体验,包括工作人员, 提供者和患者。 本提案是对AHRQ特别强调通知(NOT-HS-16-009)的回应,要求申请 “对安全健康IT实践进行研究,特别是与设计,实施,可用性, 和安全使用卫生信息技术”,这将“为卫生信息技术认证和其他形式的政策指导提供信息”。

项目成果

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Jason Stuart Adelman其他文献

Jason Stuart Adelman的其他文献

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{{ truncateString('Jason Stuart Adelman', 18)}}的其他基金

Simulation for Attending Obstetricians to Improve Technical Skills for Managing Postpartum Hemorrhage
模拟主治产科医生提高处理产后出血的技术技能
  • 批准号:
    10650709
  • 财政年份:
    2022
  • 资助金额:
    $ 39.09万
  • 项目类别:
Simulation for Attending Obstetricians to Improve Technical Skills for Managing Postpartum Hemorrhage
模拟主治产科医生提高处理产后出血的技术技能
  • 批准号:
    10346611
  • 财政年份:
    2022
  • 资助金额:
    $ 39.09万
  • 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
  • 批准号:
    9759951
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Columbia University Patient Safety and Health Services Research Training
哥伦比亚大学患者安全与健康服务研究培训
  • 批准号:
    10187649
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
  • 批准号:
    9980442
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Patient Safety and Health Services Research Training
患者安全与健康服务研究培训
  • 批准号:
    10747777
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
  • 批准号:
    10440291
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Effectiveness of Pictographs to Prevent Wrong-Patient Errors in the NICU
象形文字可有效防止 NICU 中错误的患者错误
  • 批准号:
    10204069
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Columbia University Patient Safety and Health Services Research Training
哥伦比亚大学患者安全与健康服务研究培训
  • 批准号:
    10407968
  • 财政年份:
    2018
  • 资助金额:
    $ 39.09万
  • 项目类别:
Assess Risk of Wrong Patient Errors in an EMR that Allows Multiple Records Open
评估允许打开多条记录的 EMR 中错误患者错误的风险
  • 批准号:
    8828955
  • 财政年份:
    2014
  • 资助金额:
    $ 39.09万
  • 项目类别:

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