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)

基本信息

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
项目类别：
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

项目摘要

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.

项目摘要意义：美国的医疗保健系统仍受到数万美元的欺诈和效率低下。丢失和被盗的设备每张医院床的费用约为4,000美元，升至8,000美元添加了从地位设备产生的费用。此外，2017年的一份报告估计950亿美元是在医疗保险和医疗补助计划中损失了欺诈，浪费，虐待和其他不当付款。实时位置系统（RTLS）是一项新兴技术，有望提高可见性和临床工作流程的效率。没有明确的市场领导者。低成本解决方案的精度较差，并且高准确解决方案太昂贵了。例如，资深政府的5.43亿美元企图医疗RTL被认为“灾难性的失败”。问题和机会非常重要。研究人员：Q-Track的Hans G. Schantz博士拥有40多个专利，并管理了超过1000万美元 Q-Track的赞助研究。密苏里大学的Jung Hyup Kim和Laurel Despins教授将根据临床最终用户需求评估和优化所提出的创新。创新：Q-Track的开创性低频方法到室内位置 - 近场电子范围（NFER）提供了一个次级准确位置，在最挑战的环境中导致美国核电站的三分之一，卫生保健设施，军事培训地点和其他工业设施。费用有对更广阔市场的采用有限。这项努力旨在使成本的根本降低两倍。在第1阶段，Q轨道显着证明了可行性，从而降低了定位者的零售价 $ 2750至600美元，同时保持40厘米或更高的准确性。在现有的NFER RTLS部署密苏里州哥伦比亚市密苏里大学医疗保健大学医院重症监护病房基线，Q-Track的第1阶段成功将整体NFER RTLS的成本从$ 2191/床到$ 1474/床。第2阶段以次级准确，低成本（<$ 1000/床）为基础，RTL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。我们使用资产标签跟踪功能$ 1- $ 2 蓝牙低能活性资产标签。我们进一步实施以用户为中心的数据分析以理解和特征医疗保健行动。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飞行员。我们的飞行员将跟踪医务人员和资产。我们的研究评估了系统表征的能力，在现实世界中优化并验证医疗保健操作，以检测欺诈并实现效率。环境：密苏里大学大学医院与Kim博士和ICU的合作关系密苏里州哥伦比亚的医疗保健确保在运营医疗保健环境中的现实反馈。