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SCH: INT: Collaborative Research: Smart Alarms 2.0: Foundations for Caregiver-in-the-loop Suppression of Non-Informative Alarms

SCH: INT: Collaborative Research: Smart Alarms 2.0: Foundations for Caregiver-in-the-loop Suppression of Non-Informative Alarms
SCH:INT:协作研究:智能警报 2.0:护理人员实时抑制非信息性警报的基础
批准号:
1915398
负责人:
Insup Lee
金额:
$98.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-15 至 2024-07-31

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中文摘要
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英文摘要
Systems used to continuously monitor vital signs in hospitals and home settings generate alarms intended to warn caregivers, clinicians in the hospital, or parents at home of conditions that warrant their immediate attention. However, less than 1% of these alarms are considered actionable or informative, which has led to clinical alarm fatigue being ranged as one of the Top 10 Health Technology Hazards. While there have been advances in human factors, operational factors, and technical factors independently, their interdependencies have yet to be collectively considered. Consequently, current alarm suppression systems aimed at addressing clinical alarm fatigue are generally not extensible, suffer from low adoption rates, and/or have poor performance in practice.This proposal aims to develop foundations for the design of next generation smart alarms. Smart Alarms 2.0 will utilize caregiver-in-the-loop alarm suppression systems to reduce the frequency of non-informative alarms in-clinic and at home. Realizing an effective caregiver-in-the-loop alarm suppression system requires fundamental advances in robust alarm suppression design methodologies and caregiver-in-the-loop modeling and analysis. The potential impact of the proposed design and analysis techniques is evaluated in medical scenarios for alarm suppression applications, spanning pediatric wards and at-home monitoring of Bronchopulmonary dysplasia (BPD) patients. This project will lay the foundations for designing caregiver-in-the-loop alarm systems in which physicians, nurses, and parents monitor the right children, at the right times, using optimal alarm settings to maximize informativeness.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Evaluating Alarm Classifiers with High-confidence Data Programming
使用高置信度数据编程评估警报分类器
DOI: 10.1145/3549942
发表时间: 2022
期刊: ACM Transactions on Computing for Healthcare
影响因子: --
作者: [Pugh, Sydney, Ruchkin, Ivan, Bonafide, Christopher, Demauro, Sara, Sokolsky, Oleg, Lee, Insup, Weimer, James]
通讯作者: Weimer, James
Raproto: an open source platform for rapid prototyping of wearable medical devices
Raproto:用于可穿戴医疗设备快速原型设计的开源平台
DOI: 10.1145/3446913.3460315
发表时间: 2021
期刊: Medical Cyber-Physical Systems Workshop
影响因子: --
作者: [Watson, Amanda, Choi, Hyonyoung, Lee, Insup, Weimer, James]
通讯作者: Weimer, James
DOI: --
发表时间: 2020-11
期刊:
影响因子: --
作者: [Sooyong Jang;Insup Lee;James Weimer]
通讯作者: Sooyong Jang;Insup Lee;James Weimer
Collaborative Research: CPS: Medium: Sensor Attack Detection and Recovery in Cyber-Physical Systems
  • 批准号:
    2143274
  • 项目类别:
    Standard Grant
  • 资助金额:
    $69.2万
  • 财政年份:
    2022
  • 负责人:
    Insup Lee
  • 依托单位:
SCC-IRG JST: Active sensing and personalized interventions for pandemic-induced social isolation
  • 批准号:
    2125561
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    Continuing Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2021
  • 负责人:
    Insup Lee
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Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
  • 批准号:
    1505799
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $112.5万
  • 财政年份:
    2015
  • 负责人:
    Insup Lee
  • 依托单位:
CPS: Synergy: Collaborative Research: Trustworthy Composition of Dynamic App-Centric Architectures for Medical Application Platforms
  • 批准号:
    1239324
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.0万
  • 财政年份:
    2012
  • 负责人:
    Insup Lee
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