Oakland, California-based Eko designed Sensora with AI that objectively identifies structural murmurs — signs of valvular heart disease. The system features Care Pathway Analytics software that provides downstream visibility and metrics of the patient journey, too.
Sensora combines machine learning with a stethoscope. It captures and analyzes heart sounds and electrical signals through this digital technology. Eko said in a news release that it designed this detection platform to expand as the company develops new applications.
“Our vision for Sensora is to make cardiovascular disease detection simple and accurate in frontline care settings like primary care and urgent care,” said Connor Landgraf, co-founder and CEO of Eko. “During a routine physical exam, patients can now have access to advanced structural murmur detection and arrhythmia assessment by their primary care physician in seconds, making early intervention possible for millions of patients with silent cardiovascular disease. We are making the world’s most universal medical exam objective and accurate.”
About the Eko Sensora platform
Eko designed the Sensora structural murmur detection technology to identify valvular heart disease (VHD) during routine visits. A primary care physician using Sensora more than doubles the likelihood of detecting significant VHD, according to the company.
Sensora’s Care Pathway Analytics follows patients with identified structural murmurs through the care continuum. It provides downstream visibility into patient flows, clinical outcomes and patient economics. Eko designed it to identify care gaps that physicians can transform into improved operational efficiencies. These include reduced delays in care delivery, length of stay and readmission rates.
“We know from clinical evidence that detection rates are low,” said Dr. John Chorba, assistant professor in residence, Division of Cardiology, Zuckerberg San Francisco General Hospital and Department of Medicine, University of California San Francisco. “The Sensora platform promises to better serve patients by increasing the accuracy and consistency of structural murmur identification and improving patients’ lives by getting them into treatment earlier.”
