Real-World Evaluation of Eko Murmur Analysis Software in a Point of Care Setting

June 20, 2023 updated by: Eko Devices, Inc.
The purpose of this research is to evaluate the impact of Eko AI plus EMAS (Eko Murmur Analysis Software) on a clinician's referral decision in a real-world primary care setting. There is an additional objective of understanding patient outcomes when patients are referred for cardiology follow-up and/or echocardiogram.

Study Overview

Detailed Description

Eko has developed a platform to aid in screening for cardiac conditions using a digital stethoscope and machine-learning algorithms to detect the presence or absence of heart conditions such as heart murmurs and atrial fibrillation. In June 2022, the US Food and Drug Administration (FDA) granted Eko a 510(k) clearance for the marketing of "Eko Murmur Analysis Software" (EMAS), a set of machine learning algorithms that are able to screen signal quality and identify fundamental heart sounds, distinguish structural murmurs from absent or innocent murmurs, and provide a structural murmur's timing in the cardiac cycle.

This study sets out to evaluate the impact of EMAS on a clinician's referral decision in a real-world primary care setting, with the additional objective of understanding patient outcomes when patients are referred for cardiology follow-up and/or echocardiogram. Providers will receive access to the EMAS screening tool, called the SENSORA™ Disease Detection Platform, which features the FDA cleared 3M™ Littmann® CORE stethoscope paired with the FDA cleared SENSORA™ enterprise application and EMAS AI running on an iPad, which is mounted on a Tryten stand. SENSORA™ will be used by medical assistants or equivalent as part of the initial patient intake process (e.g., during vitals acquisition).

EMAS influence on individual providers will be assessed by reviewing each provider's number of referrals to cardiology and number of echocardiogram orders for the 6 months preceding study start. These values will be compared to cardiac referral and order rates at the end of the study. Patient outcomes data (e.g., cardiology appointment notes, echocardiogram findings, follow up visits scheduled) will be pulled 6 months after the patient is seen by their primary care provider. Secondary objectives include the continued assessment of algorithm performance on a point-of-care population.

Study Type

Observational

Enrollment (Estimated)

1200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • District of Columbia
      • Washington, District of Columbia, United States, 20010
        • Recruiting
        • MedStar Washington Hospital Center
        • Contact:
          • Theresa Moriarty, MSN, RN
        • Principal Investigator:
          • Arrel Olano, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

55 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Potential research subjects will be screened by MedStar study personnel for eligibility from the onsite primary, internal medicine, and geriatric clinics at MedStar. If a patient meets all of the inclusion criteria, and none of the exclusion criteria, they will be approached for participation.

Description

Inclusion Criteria:

  • Patient verbally consents to participation
  • Patient is willing to have heart sounds recorded with an electronic stethoscope
  • Patient is age 50 years or older

Exclusion Criteria:

  • Patient is unwilling or unable to give verbal informed consent
  • Patients experiencing a known or suspected acute cardiac event
  • Patient is under the age of 50 years old

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Prospective cohort
Patients who are at least 50 years of age during their primary care exam will undergo SENSORA™ screening if they provide consent.
Recording of heart sounds using electronic stethoscope
Retrospective cohort
Patients who saw participating providers in the 6 months prior to study start date, and who were referred to echocardiogram and/or cardiology, will be included as provider self-control for patient outcomes and referral rates.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Impact of EMAS on echocardiogram order rates
Time Frame: 01/17/2022 - 11/30/2023
Echocardiogram order rates before and after SENSORA implementation, for individual providers and aggregated for the site as a whole
01/17/2022 - 11/30/2023
Impact of EMAS on cardiologist consult order rates
Time Frame: 01/17/2022 - 11/30/2023
Cardiology consultation referral rates before and after SENSORA implementation, for individual providers and aggregated for the site as a whole
01/17/2022 - 11/30/2023
Impact of EMAS on provider decision-making
Time Frame: 01/17/2022 - 11/30/2023
Impact of EMAS on provider decision to refer to echocardiogram, cardiologist, or other workup related to cardiac murmur. Measured via a survey administered to each provider after each patient is screened, which asks if SENSORA AI influenced their decision to refer or not to refer. Measured for individual providers and aggregated for the site as a whole.
01/17/2022 - 11/30/2023

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Impact of EMAS on patient outcomes
Time Frame: 01/17/2022 - 11/30/2023
VHD discovery rates before and after SENSORA platform implementation, for individual providers and aggregated for the site as a whole
01/17/2022 - 11/30/2023
Sensitivity and specificity
Time Frame: 01/17/2022 - 11/30/2023
EMAS' accuracy (sensitivity and specificity) in detecting structural murmur, compared to an annotator panel
01/17/2022 - 11/30/2023

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 11, 2022

Primary Completion (Estimated)

November 1, 2023

Study Completion (Estimated)

November 1, 2023

Study Registration Dates

First Submitted

December 15, 2021

First Submitted That Met QC Criteria

December 15, 2021

First Posted (Actual)

January 4, 2022

Study Record Updates

Last Update Posted (Actual)

June 22, 2023

Last Update Submitted That Met QC Criteria

June 20, 2023

Last Verified

June 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

All participant data will be de-identified. Data will only be shared with Eko Devices, and not shared with any other researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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