Development and validation of an electronic health record prediction tool for first-episode psychosis

首发精神病电子健康记录预测工具的开发和验证

基本信息

  • 批准号:
    10057390
  • 负责人:
  • 金额:
    $ 74.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-02-05 至 2022-11-30
  • 项目状态:
    已结题

项目摘要

Psychosis is a major public health challenge, with approximately 100,000 adolescents and young adults in the US experiencing a first episode of psychosis (FEP) every year. Early intervention following FEP is critical for achieving improved outcomes, yet treatment of FEP is often delayed between 1 and 3 years in the US due to delays in detection and referral. The World Health Organization has advocated shortening the duration of untreated psychosis (DUP) to three months or less. The goal of this study is to develop and validate a universal EHR-based screening tool for early detection of FEP across large clinical populations in diverse healthcare settings. In order to maximize the impact and generalizability of the tool across a wide range of healthcare settings, we will rely only on coded medical information collected in the course of care and thus widely available in EHRs. The tool will be developed and validated with data from three diverse health systems that cover over 8 million patients spanning a wide range of demographic, socioeconomic and ethnic backgrounds: Partners Healthcare System, Boston Children's Hospital, and Boston Medical Center. The study will be conducted by a closely collaborating interdisciplinary team of clinical specialists, psychosis researchers, and risk modeling experts based at these health systems and Harvard Medical School, with extensive experience in treating psychosis patients, and developing strategies for detecting FEP and EHR-based risk screening tools for early detection of various clinical conditions. Our preliminary studies show that EHR-based risk models can be used to sensitively and specifically detect FEP cases, on average 2 years before the first psychosis diagnosis appears in their EHR. Our specific aims include: 1. Define a robust cross-site case definition for FEP that relies only on information commonly available in EHRs and validate it through expert chart review; 2. Train and validate a predictive model for early detection of FEP based on large samples of patient data from the three sites; 3. Develop and validate FEP early detection models for key subpopulations, including patients receiving care at mental health clinics, adolescent medicine outpatient programs, and substance abuse treatment programs; and 4. Engage clinical stakeholders in the process of developing a prototype clinician-facing EHR-based risk screening tool for FEP, and release it as an open source SMART App, enabling further validation and clinical integration across a wide range of healthcare settings. Completion of these aims would provide a novel, clinically deployable, and potentially transformative tool for improving the trajectory of those affected with psychosis and reducing the burden and costs of untreated illness.
精神病是一项重大的公共卫生挑战,在美国大约有10万名青少年和青壮年

项目成果

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Ben Y Reis其他文献

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians.
利用生成式人工智能的力量进行临床总结:急诊医生的观点。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Y. Barak;Rebecca Wolf;R. Rozenblum;Jessica K. Creedon;Susan C. Lipsett;Todd W. Lyons;Kenneth A. Michelson;Kelsey A. Miller;Daniel Shapiro;Ben Y Reis;Andrew M Fine
  • 通讯作者:
    Andrew M Fine

Ben Y Reis的其他文献

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{{ truncateString('Ben Y Reis', 18)}}的其他基金

Development and validation of an electronic health record prediction tool for first-episode psychosis
首发精神病电子健康记录预测工具的开发和验证
  • 批准号:
    10305682
  • 财政年份:
    2019
  • 资助金额:
    $ 74.88万
  • 项目类别:
Improved multifactorial prediction of suicidal behavior through integration of multiple datasets
通过整合多个数据集改进自杀行为的多因素预测
  • 批准号:
    9762979
  • 财政年份:
    2018
  • 资助金额:
    $ 74.88万
  • 项目类别:
Integrative Methods for Improved Pharmacovigilance
改善药物警戒的综合方法
  • 批准号:
    8232024
  • 财政年份:
    2010
  • 资助金额:
    $ 74.88万
  • 项目类别:
Integrative Methods for Improved Pharmacovigilance
改善药物警戒的综合方法
  • 批准号:
    8055383
  • 财政年份:
    2010
  • 资助金额:
    $ 74.88万
  • 项目类别:
Integrative Methods for Improved Pharmacovigilance
改善药物警戒的综合方法
  • 批准号:
    7764278
  • 财政年份:
    2010
  • 资助金额:
    $ 74.88万
  • 项目类别:
Intelligent Histories: Detecting Personalized Risk with Longitudinal Surveillance
智能历史:通过纵向监控检测个性化风险
  • 批准号:
    8065527
  • 财政年份:
    2009
  • 资助金额:
    $ 74.88万
  • 项目类别:
Intelligent Histories: Detecting Personalized Risk with Longitudinal Surveillance
智能历史:通过纵向监控检测个性化风险
  • 批准号:
    8249941
  • 财政年份:
    2009
  • 资助金额:
    $ 74.88万
  • 项目类别:
Intelligent Histories: Detecting Personalized Risk with Longitudinal Surveillance
智能历史:通过纵向监控检测个性化风险
  • 批准号:
    8053207
  • 财政年份:
    2009
  • 资助金额:
    $ 74.88万
  • 项目类别:
Intelligent Histories: Detecting Personalized Risk with Longitudinal Surveillance
智能历史:通过纵向监控检测个性化风险
  • 批准号:
    7652734
  • 财政年份:
    2009
  • 资助金额:
    $ 74.88万
  • 项目类别:
Intelligent Histories: Detecting Personalized Risk with Longitudinal Surveillance
智能历史:通过纵向监控检测个性化风险
  • 批准号:
    7784567
  • 财政年份:
    2009
  • 资助金额:
    $ 74.88万
  • 项目类别:

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艾滋病毒/艾滋病干预青少年医学试验网络 (ATN) 科学领导中心
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