Systems for Helping Veterans Comprehend Electronic Health Record Notes

帮助退伍军人理解电子健康记录笔记的系统

基本信息

项目摘要

DESCRIPTION (provided by applicant): The Veterans Health Administration (VHA) is committed to the sharing of Veteran's health information in its efforts to improve the patient-provider relationship in care delivery. The VHA has demonstrated this commitment with the initiation of MyHealtheVet (MHV) patient portal which also utilizes secure messaging between Veterans and their care teams as a way to improve communication. Clinical notes represent a key piece of patient information that could further enhance this relationship. In January 2013, the VA made Veterans' primary care provider's clinical notes available to their patients through the Blue Button feature within the MHV portal. Patient access to full text clinical notes has the potential to improve patient engagement and care. However, a recent study demonstrated that patients- especially those who are vulnerable (e.g., lower literacy, lower income)-can be perplexed by EHR notes. Inadvertently, this confusion and miscommunication may result in unintended increases in service utilization, and changes in perceptions that may disrupt patient-provider relationships. This proposal seeks to develop an innovative tool which will aid Veterans in the comprehension and effective use of their clinical notes to better their care outcomes. We will develop and evaluate NoteAid, a multi-component, intelligent natural language processing (NLP) system designed to translate medical jargon into consumer oriented concepts and provide "patient-friendly" links to related educational material from trusted resources. We expect that NoteAid will improve Veterans' comprehension of their EHR notes, which in turn will increase patient autonomy and self-management. No current HSR&D projects are evaluating this new innovation, and operational leaders are seeking guidance on how to further advance sharing of clinical information with Veterans. Our Specific Aims are to: Aim 1: Develop a comprehensive EHR health knowledge resource-NoteKnow. It will link medical concepts (e.g., myocardial infarction) to the corresponding consumer oriented concepts (e.g., heart attack), along with definitions and high-quality educational material. Aim 2: Develop, implement, and assess NoteAid, a system that will decipher EHR notes and link them to NoteKnow. NoteAid will integrate innovative NLP approaches. We will assess the NoteAid system using expert walkthrough, usability testing, and task-driven cognitive evaluation. Aim 3: Evaluate NoteAid in a randomized comparison study. We will recruit 250 Veterans from the Worcester VA outpatient clinic. The Veterans will be randomly assigned to two groups: 1.) use of standard EHR notes; 2.) use of EHR notes with NoteAid support. The Study outcomes will be guided by Self- Determination Theory, including: 1.) perceived autonomy support of NoteAid and, 2.) the effect of NoteAid on Veteran outcomes (e.g., motivation and competence). Our integrated research team will include Veterans, physicians, a health educator, informaticians, a biostatistician, and health literacy and communication scientists. We will employ Veterans as co-investigators throughout the NoteAid study to ensure our focus on the end-user. Veterans will be engaged at multiple levels, including intervention refinement (usability tests) and creation (Veteran generated content). In both Aims 1 and 2, Veterans will drive the excellence of the NoteAid system, maximizing the potential of the system to support user comprehension in Aim 3. NoteAid will be a stand-alone and open-source tool that will be made available to national health IT organizations, healthcare providers and patients at the completion of this study. The potential impact of this system is high.
描述(由申请人提供): 退伍军人健康管理局(VHA)致力于分享退伍军人的健康信息,努力改善患者与医疗服务提供者的关系。VHA通过启动MyHealtheVet(MHV)患者门户网站证明了这一承诺,该门户网站还利用退伍军人及其护理团队之间的安全消息传递作为改善沟通的一种方式。临床笔记代表了一个关键的病人信息,可以进一步加强这种关系。2013年1月,退伍军人事务部通过MHV门户网站内的蓝色按钮功能向其患者提供退伍军人初级保健提供者的临床记录。患者访问全文临床记录有可能改善患者参与和护理。然而,最近的一项研究表明,患者-特别是那些脆弱的人(例如,较低的识字率,较低的收入)-可以困惑的EHR笔记。无意中,这种混淆和误解可能会导致服务利用率的意外增加,以及可能破坏患者-提供者关系的观念变化。该提案旨在开发一种创新工具,帮助退伍军人理解和有效使用他们的临床笔记,以改善他们的护理结果。我们将开发和评估NoteAid,这是一个多组件、智能自然语言处理(NLP)系统,旨在将医疗术语翻译成面向消费者的概念,并提供来自可信资源的相关教育材料的“患者友好”链接。我们预计NoteAid将 提高退伍军人对他们的EHR笔记的理解,这反过来又会增加病人的自主权和自我管理。目前没有HSR&D项目正在评估这一新的创新,运营领导者正在寻求如何进一步推进与退伍军人共享临床信息的指导。我们的具体目标是:目标1:开发一个全面的EHR健康知识资源-NoteKnow。它将把医学概念(例如,心肌梗塞)到相应的面向消费者的概念(例如,心脏病发作),沿着定义和高质量的教育材料。目标2:开发、实施和评估NoteAid,这是一个将解读EHR笔记并将其链接到NoteKnow的系统。NoteAid将整合创新的NLP方法。我们将使用专家演练、可用性测试和任务驱动的认知评估来评估NoteAid系统。目的3:在随机比较研究中评价NoteAid。我们将从伍斯特VA门诊诊所招募250名退伍军人。将被随机分配到两个组:1。使用标准EHR注释; 2.)在NoteAid支持下使用EHR笔记。研究结果将以自我决定理论为指导,包括:1.(2)支持自主学习; NoteAid对退伍军人结果的影响(例如,动机和能力)。我们的综合研究团队将包括退伍军人,医生,健康教育家,信息学家,生物统计学家,健康素养和传播科学家。在整个NoteAid研究过程中,我们将聘请退伍军人作为共同研究者,以确保我们专注于最终用户。退伍军人将在多个层面参与,包括干预细化(可用性测试)和创建(退伍军人生成的内容)。在目标1和2中,退伍军人将推动NoteAid系统的卓越性,最大限度地发挥系统的潜力,以支持目标3中的用户理解。NoteAid将是一个独立的开源工具,将在本研究完成时提供给国家卫生IT组织、医疗保健提供者和患者。该系统的潜在影响很大。

项目成果

期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds.
在没有人类反应模式的情况下学习潜在参数:人工人群的项目反应理论。
Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients.
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HONG YU其他文献

HONG YU的其他文献

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{{ truncateString('HONG YU', 18)}}的其他基金

Social and behavioral determinants of health and Alzheimer’s Disease: Cohort study of the US military veteran population
健康和阿尔茨海默病的社会和行为决定因素:美国退伍军人群体的队列研究
  • 批准号:
    10591049
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
使用 NLP 提取的健康社会决定因素改善自杀预测
  • 批准号:
    10656321
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
使用 NLP 提取的健康社会决定因素改善自杀预测
  • 批准号:
    10428629
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
使用 NLP 提取的健康社会决定因素改善自杀预测
  • 批准号:
    10251336
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Improving Suicide Prediction using NLP-Extracted Social Determinants of Health
使用 NLP 提取的健康社会决定因素改善自杀预测
  • 批准号:
    10100989
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Resource Curation and Evaluation for EHR Note Comprehension
EHR 笔记理解的资源管理和评估
  • 批准号:
    9925807
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Resource Curation and Evaluation for EHR Note Comprehension
EHR 笔记理解的资源管理和评估
  • 批准号:
    9794757
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Systems for Helping Veterans Comprehend Electronic Health Record Notes
帮助退伍军人理解电子健康记录笔记的系统
  • 批准号:
    9768225
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
EHR Anticoagulants Pharmacovigilance
EHR 抗凝剂药物警戒
  • 批准号:
    9190384
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
EMR Adverse Drug Event Detection for Pharmacovigilance
用于药物警戒的 EMR 药物不良事件检测
  • 批准号:
    9123554
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
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