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: GAN CORPORATION
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2021-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10025603
• 关键词: Adoption; Americas; Beds; Bluetooth; Charge; Clinical; Computer software; Data; Data Analytics; Development; Electromagnetic Fields; Emerging Technologies; Ensure; Environment; Equipment; Equipment and supply inventories; Failure; Feedback; Fraud; Frequencies; Funding; Goals; Grant; Health Care Fraud; Health Expenditures; Health Insurance; Health Personnel; Health care facility; Healthcare; Healthcare Systems; Hospitals; Human Resources; Individual; Industrialization; Intensive Care Units; Justice; Legal patent; Letters; Location; Logistics; Medical; Medical Audit; Medical center; Medicare; Medicare/Medicaid; Military Personnel; Missouri; Nuclear; Outcome; Performance; Phase; Plants; Price; Procedures; Process; Reporting; Research; Research Personnel; S Phase; Safety; Savings; Site; Small Business Innovation Research Grant; Social Security; System; Technology; Testing; Time; Training; United States Department of Veterans Affairs; United States National Center for Health Statistics; Universities; University Hospitals; Validation; base; cost; cost effective; design; health care settings; hospital bed; innovation; insurance claims; interoperability; meter; next generation; novel; operation; patient safety; payment; phase 2 study; prevent; professor; programs; success; wasting

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.

项目总结 重要意义：美国的医疗保健系统仍然受到数百亿美元的欺诈和 效率低下。丢失和被盗设备的每张病床成本约为4,000美元，当 增加了因设备摆放不当而产生的费用。此外，2017年的一份报告估计，950亿美元是 由于医疗保险和医疗补助计划中的欺诈、浪费、滥用和其他不当支付而蒙受损失。 实时定位系统(RTLS)是一项新兴技术，有望提高能见度和 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，而且 高精度的解决方案太昂贵了。例如，老牌政府斥资5.43亿美元进军 医疗RTLS被认为是“一次灾难性的失败”。问题和机遇是非常重要的。 研究员(S)：Q-Track的汉斯·G·尚茨博士拥有40多项专利，管理着1000多万美元的 Q-Track的赞助研究。密苏里大学教授Jung Hyup Kim和Laurel 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开创性的室内定位低频方法-近场电磁 测距(NFER)在最具挑战性的环境中提供亚米级精确定位结果，包括 美国三分之一的核电站、医疗保健设施、军事训练场和其他工业设施。成本有 在更广泛的市场上采用有限。这一努力的目的是将成本大幅降低两倍。 在第一阶段，Q-Track极大地展示了可行性，将定位器-接收器的零售价从 2750至600美元，同时保持40厘米或更高的精度。在进行现有的NFER RTLS部署 密苏里州哥伦比亚市密苏里大学医院重症监护室 基准，Q-Track的第一阶段成功将NFER RTLS的总体成本从2191美元/张推至1474美元/张。 阶段2建立在这一成功成果的基础上，具有亚米精度、低成本(每张床1000英镑)、RTLS使用 创新的低频方法。在第二阶段，我们将在重新设计中降低QTag位置标签的成本。我们 免费赠送亚米精确的医务人员跟踪功能，使用1-2美元的资产标签跟踪功能 蓝牙低能耗主动资产标签。我们进一步实施以用户为中心的数据分析，以了解和 描述医疗保健操作的特点。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，在重症监护病房部署一个试点。 我们的飞行员将跟踪医疗人员和资产。我们的研究评估了该系统的能力， 在真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：我们与金医生和密苏里大学大学医院重症监护室的合作 密苏里州哥伦比亚市的医疗保健确保在可操作的医疗保健环境中提供真实的反馈。