Gesture Based Medication Adherence Confirmation for Clinical Trials

描述（由申请人提供）：Ai Cure Technologies LLC成立于2009年，致力于为移动设备和其他计算平台开发网络摄像头软件解决方案，以自动化和降低监测患者行为和药物依从性的成本。服药依从性差是医疗保健系统面临的最大挑战之一。由于这个问题，每年发生200多万起严重不良事件和大约10万人死亡。美国药物相关疾病（包括不良依从性）的总医疗成本估计为每年2900亿美元。在临床试验中，慢性病患者的依从性水平从43%到78%不等，临床试验的高成本部分归因于依从性差造成的效率低下。随着临床试验的规模越来越大，越来越多的临床试验转移到美国以外，跟踪患者的行为变得越来越困难，FDA监督这些地点的负担也越来越重。传统的监测方法，如药片计数、病人面谈和血液检查已被证明是不可靠的。事实上，最近一项采用这些传统监测方法的临床试验被证实因药物依从性差而失败。智能吸塑包装和MEMS瓶盖等产品价格昂贵，并且不能确认是否服用了药物。直接观察治疗对确认药物依从性有效；但这是一种劳动密集型、病人侵入性和昂贵的手术。Ai Cure Technologies将为临床试验发起人提供网络摄像头软件解决方案，以自动直接观察药物管理，并提供药物依从性的审计跟踪。该解决方案将为研究界和决策者提供可靠的数据，以改善总体卫生结果并控制飙升的成本。该解决方案还将作为FDA在药品上市前更好地监管试验的工具。

DESCRIPTION (provided by applicant): Ai Cure Technologies LLC, was established in 2009 to develop webcam software solutions for mobile devices and other computing platforms that automate and reduce the cost of monitoring patient behavior and medication adherence. Poor medication adherence is one of the healthcare system's greatest challenges. More than two million serious adverse events and about 100,000 deaths occur annually due to this problem. Total US healthcare costs of drug-related morbidity, including poor adherence, are estimated at $290 billion per year. In clinical trials, adherence levels for populations with chronic conditions range from 43% to 78%, the high cost of clinical trials being partly attributable to inefficiencies created by poor adherence. As clinical trials become larger, and more move outside the US, tracking patient behavior becomes more difficult, as does the burden on the FDA to monitor these sites. Traditional monitoring methods such as pill counting, patient interviews, and blood work have proven unreliable. Indeed, a recent clinical trial employing these traditional monitoring methods was confirmed to have failed for poor medication adherence. Products such as smart blister packs and MEMS caps are costly and do not confirm medication has been taken. Direct observation therapy is effective to confirm medication adherence; but is labor-intensive, patient intrusive, and expensive. Ai Cure Technologies will provide a webcam software solution for distribution by clinical trial sponsors to automate direct observation of medication administration and provide an audit trail of medication adherence. The solution will provide reliable data to the research community and policy-makers to improve overall health outcomes and rein in soaring costs. The solution will also act as a tool for the FDA to better regulate trials before drugs come to market. PUBLIC HEALTH RELEVANCE: In clinical trials, whether or not participants take their prescribed medication and to what degree is neither well understood nor reliably monitored through existing and antiquated methods such as pill counting or patient interviews. This means that it is difficult to provide an accurate assessment on drug efficacy or safety within a prescribed regimen and over the course of a clinical trial. AiView will provide a system for automatically determining medication adherence of clinical trial patients, and allow access to this data by clinical trial managers.