跳至主要内容
临床试验/NCT04933890
NCT04933890已完成不适用

Real-World Evaluation of the Performance of Eko's Heart Murmur Detection Algorithm When Used by Front-line Healthcare Providers on Geriatric Patients

Eko Devices, Inc.1 个研究点 分布在 1 个国家目标入组 68 人开始时间: 2021年6月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
68
试验地点
1
主要终点
Single-lead ECG based algorithm development

研究概览

简要总结

The purpose of this study is to evaluate how Eko AI performs in the real world, front-line setting where the availability of sophisticated, expensive diagnostic tools is limited, and where there is a premium on detecting VHD early in its course.

详细描述

Echocardiography is the state of the art for diagnosing VHD. However, without an effective pre-screening tool, many echocardiograms ("echos") are being ordered unnecessarily. A recent study found that greater than 66% of all echos performed in the United States do not alter clinical management, while an additional 4% may be deemed inappropriate altogether.

Because of this, echos now make up a disproportionately large segment of healthcare expenditure. Each year, 1 in 5 Medicare enrollees receives an echo at a total cost of $1.2 billion, or 11% of total Medicare spending on imaging services. This is compounded by the fact that an estimated 35 million Americans live in medically underserved areas, where patients must travel an average of 56 miles to see a specialist and receive an echo. This does not encourage compliance, and only adds to cost, lost working hours, and inconvenience.

There is therefore a growing, unmet need for better VHD screening tools. Tools that will consistently, reliably, quickly, and cheaply identify VHD when it is early and asymptomatic, when patients can be managed early and appropriately, and when they are at the lowest risk from an intervention. Such a tool will have a positive impact on the cost of care, patient and provider experience, and healthcare outcomes.

The FDA-cleared Eko CORE and Eko DUO electronic stethoscopes offer clinicians a familiar and inexpensive tool that is widely accepted by patients and providers, while at the same time offer sensors and artificial intelligence technology that can improve screening and detection of medical conditions such as VHD. Both the CORE and the DUO feature sound amplification during auscultation - the CORE also offers active noise cancellation - which improves the ability of the clinician to detect nuanced changes in heart sounds.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • English-speaking adults who are 18 years and older
  • Able and willing to provide informed consent
  • Complete a clinical echocardiogram within 7 days before or after study procedures

排除标准

  • Unwilling or unable to provide informed consent
  • Patients who are hospitalized

结局指标

主要结局

Single-lead ECG based algorithm development

时间窗: Within two minutes of device use

Evaluate performance of single-lead ECG based algorithm to identify individuals with reduced ejection fraction.

Single-lead ECG based algorithm Performance

时间窗: Within two minutes of device use

To demonstrate that Eko's murmur detection algorithm outperforms front-line healthcare providers in detecting heart murmurs in real-world use. Collecting data in a point-of-care setting will demonstrate how accurately the algorithm detects murmurs in comparison to an unassisted clinical examination. Algorithm output and clinical determination will be confirmed by echocardiographic ground truth, with the results being blinded until the end of the study

次要结局

未报告次要终点

研究者

申办方类型
Industry
责任方
Sponsor

研究点 (1)

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