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

SCH：INT：协作研究：护理人员在循环中抑制非信息性警报的基础

• 批准号: 1915063
• 负责人: Christopher Bonafide
• 金额: $ 21.78万
• 依托单位: The Children's Hospital of Philadelphia
• 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
• 起止时间: 2019-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1915063&HistoricalAwards=false
• 关键词: SCH; INT; Collaborative; Research; Foundations

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.

用于在医院和家庭环境中不断监视生命体征的系统产生警报，旨在警告护理人员，医院的临床医生或家中父母的状况，以保持其立即关注。但是，这些警报中只有不到1％被认为是可起诉或信息丰富的，这导致临床警报疲劳被视为十大卫生技术危害之一。尽管人为因素，运营因素和技术因素已经取得了进步，但它们的相互依存关系尚未集体考虑。因此，目前旨在解决临床警报疲劳的警报抑制系统通常不可扩展，采用率低和/或在实践中的性能较差。该提案旨在为设计下一代智能警报的设计开发基础。 Smart Alarms 2.0将利用Caregiver-In-the-liop警报抑制系统来降低非信息性警报内和家里的频率。实现有效的护理人员在循环警报抑制系统中，需要在强大的警报抑制设计方法和护理人员建模和分析方面取得基本进步。在医疗场景中评估了拟议的设计和分析技术的潜在影响，用于警报抑制应用，跨越小儿病房以及对支气管肺发育不良（BPD）患者的家庭监测。该项目将奠定用于设计循环警报系统的基础，在该系统中，医师，护士和父母在适当的时间使用最佳的警报设置来监视合适的孩子，以最大程度地提高信息性。该奖项反映了NSF的法定任务，并通过评估该基金会的知识绩效和广泛的影响来评估NSF的法定任务，并被认为是值得的。

项目成果

High-Confidence Data Programming for Evaluating Suppression of Physiological Alarms

• DOI: 10.1109/chase52844.2021.00015
• 发表时间: 2021-12
• 期刊: 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
• 作者: Sydney Pugh;I. Ruchkin;Christopher P. Bonafide;S. Demauro;O. Sokolsky;Insup Lee;James Weimer