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A Next Generation, Low Cost Tracking System for Healthcare Process Validation (2)

A Next Generation, Low Cost Tracking System for Healthcare Process Validation (2)
用于医疗流程验证的下一代低成本跟踪系统 (2)
批准号:
10025603
负责人:
Hans Gregory Schantz
金额:
$30.61万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-01 至 2021-10-31

项目摘要

项目成果

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中文摘要
翻译
项目摘要 重要性:美国的医疗保健系统仍然受到数百亿美元欺诈的挑战, 效率低下丢失和被盗的设备费用约为每张病床4,000美元, 增加了因设备不到位而产生的费用。此外,2017年的一份报告估计, 在医疗保险和医疗补助计划中因欺诈、浪费、滥用和其他不当支付而损失。 真实的时间定位系统(RTLS)是一种新兴的技术,其承诺增加可视性, 临床工作流程的效率。没有明确的市场领导者。低成本解决方案的准确性较差, 高精度解决方案太昂贵。例如,退伍军人管理局的5.43亿美元进军 医疗RTLS被认为是“灾难性的失败”。问题和机会都很重要。 研究者:Dr. Hans G. Q-Track的Schantz拥有40多项专利,管理着超过1000万美元的资产。 赞助了一项研究密苏里州大学的教授Jung Hyup Kim和月桂Despins 将根据临床最终用户需求评估和优化拟议的创新。 创新:Q-Track开创性的低频室内定位方法-近场电磁波 测距(NFER)在最具挑战性的环境中提供亚米级的精确定位结果,包括 美国三分之一的核电站、医疗设施、军事训练基地和其他工业设施。成本 在更广阔的市场上采用有限。这一努力的目的是将成本大幅降低两倍。 在第一阶段,Q-Track极大地展示了其可行性,将定位接收器的零售价格从 2750美元至600美元,同时保持40厘米或更高的精度。以现有的NFER RTLS部署为例, 位于密苏里州哥伦比亚市的密苏里州卫生保健大学医院重症监护室, 基线,Q-Track的第1阶段成功将整体NFER RTLS成本从2191美元/床提高到1474美元/床。 第2阶段建立在这一成功成果的基础上,具有亚米精度,低成本(<1000美元/床),RTLS使用 创新的低频方法。在第2阶段,我们在重新设计中降低了QTag位置标签的成本。我们 使用1 - 2美元的资产标签跟踪功能,实现亚米级精确的医疗人员跟踪 蓝牙低功耗有源资产标签。我们进一步实施以用户为中心的数据分析, 卫生保健业务的特点。美国专利8,326,451进一步描述了Q-Track的创新方法。 方法:最后,我们将与学术研究人员合作,在重症监护室部署试点。 我们的飞行员会追踪医务人员和资产。我们的研究评估了系统的能力, 在现实环境中优化和验证医疗保健运营,以检测欺诈并提高效率。 环境:我们与密苏里州大学医院Kim博士和ICU的合作伙伴关系 密苏里州哥伦比亚的医疗保健确保了医疗保健环境中的真实反馈。
英文摘要
PROJECT SUMMARY Significance: America's health care system remains challenged by tens of billions of dollars of fraud and inefficiencies. Lost and stolen equipment cost about $4,000 per hospital bed, increasing to $8,000 when expenses incurred from out-of-place equipment are added. In addition, a 2017 report estimates $95 billion was lost to fraud, waste, abuse, and other improper payments in the Medicare and Medicaid programs. Real Time Location Systems (RTLS) are an emerging technology that promises to increase the visibility and efficiency of clinical workflows. There is no clear market leader. Low-cost solutions have poor accuracy, and high-accuracy solutions are too expensive. For instance, The Veteran Administration's $543 million foray into medical RTLS has been deemed “a catastrophic failure.” The problem and opportunity are highly significant. Investigator(s): Dr. Hans G. Schantz of Q-Track has more than forty patents and managed over $10 million in sponsored research at Q-Track. Professors Jung Hyup Kim and Laurel Despins at the University of Missouri will evaluate and optimize the proposed innovations with respect to clinical end-user needs. Innovation: Q-Track's pioneering low-frequency approach to indoor location – Near-Field Electromagnetic Ranging (NFER) provides sub-meter accurate location results in the most challenging environments including a third of U.S. nuclear plants, health care facilities, military training sites, and other industrial facilities. Cost has limited adoption to broader markets. This effort aimed to achieve a radical reduction in cost by a factor of two. In Phase 1, Q-Track dramatically demonstrated feasibility, lowering the retail price of a Locator-Receiver from $2750 to $600, while maintaining 40 cm or better accuracy. Taking an existing NFER RTLS deployment at the Intensive Care Unit at the University Hospital, University of Missouri Health Care in Columbia, Missouri as a baseline, Q-Track's Phase 1 success drives the overall NFER RTLS cost from $2191/bed to $1474/bed. Phase 2 builds on this successful outcome with sub-meter accurate, low cost (<$1000/bed), RTLS using an innovative low-frequency approach. In Phase 2, we lower the cost of the QTag location tag in a redesign. We compliment sub-meter accurate medical personnel tracking with Asset Tag Tracking capability using $1-$2 Bluetooth Low Energy active asset tags. We further implement user-centric data analytics to understand and characterize health care operations. U.S. Patent 8,326,451 further describes Q-Track's innovative approach. Approach: Finally, we will collaborate with academic researchers to deploy a pilot at an Intensive Care Unit. Our pilot will track medical personnel and assets. Our study assesses the ability of the system to characterize, optimize, and validate health care operation in real-world settings to detect fraud and achieve efficiencies. Environment: Our partnership with Dr. Kim and the ICU at the University Hospital, University of Missouri Health Care in Columbia, Missouri ensures real-world feedback in an operational health care setting.
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Correctional Officer Distress Alarm Phase II
  • 批准号:
    9326858
  • 项目类别:
  • 资助金额:
    $25.17万
  • 财政年份:
    2016
  • 负责人:
    Hans Gregory Schantz
  • 依托单位:
Correctional Officer Distress Alarm Phase II
  • 批准号:
    8977746
  • 项目类别:
  • 资助金额:
    $47.42万
  • 财政年份:
    2016
  • 负责人:
    Hans Gregory Schantz
  • 依托单位:
Realistic Accurate Dosimulation (RAD)
  • 批准号:
    8517424
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    2013
  • 负责人:
    Hans Gregory Schantz
  • 依托单位:
Realistic Accurate Dosimulation
  • 批准号:
    9066148
  • 项目类别:
  • 资助金额:
    $19.48万
  • 财政年份:
    2013
  • 负责人:
    Hans Gregory Schantz
  • 依托单位:
海外基金