This article was published on December 14, 2016

Eko is a smartphone-compatible stethoscope for the 21st century


Eko is a smartphone-compatible stethoscope for the 21st century

Go to any hospital or urgent care center, and draped around the neck of every doctor will be a stethoscope. These devices, used by physicians to listen to the heart and the lungs, were first invented 200 years ago by Frenchman Rene Laennec, and the fundamentals of them havenā€™t really changed all that much ever since. Theyā€™re stuck in the analog ages.

Tried-and-tested tech, certainly. But thereā€™s a lot of room for improvement, thinks Jason Bellet, founder and COO of Eko Devices. Thereā€™s no high-tech guiding hand to help clinicians diagnose patients.

ā€œFor the vast majority of clinicians, differentiating between normal and pathologic heart sounds is a major challenge. As many as 80% of internal medicine residents misdiagnose common murmurs with their stethoscope,ā€ he explained. 

This shortcoming lead Bellet to imagine how the humble stethescope could be dragged into the 21st century. ā€œWe had an idea to build a ā€˜smart stethoscopeā€™ that would assist clinicians in the decision process.ā€

From here, the idea for Eko was born. This $300 stethoscope amplifies heart and lung sounds forty-fold, and can make recordings, making it easier for doctors to collaborate. It also includes both a digital and analog mode, allowing doctors to switch between the two as required.

ā€œWe set out to build a digital stethoscope that not only amplified sounds (there had been a few out there that did that), but actually make it possible for clinicians to securely record, save, annotate, and share sounds with experts for a second opinion,ā€ Bellet explained. 

Once a recording is made, it can be shared with a paired smartphone running iOS or Android, and uploaded to a secure cloud platform.

ā€œSecurity is important,ā€ Bellet said. ā€œWeā€™ve created a HIPAA-compliant mobile app and web dashboard, and weā€™ve deployed the same medical-grade encryption and security protocols as electronic health record (EHR) platforms.ā€

ā€œAll patient info, whether recorded by the device or entered into the app is encrypted and stored in Ekoā€™s secure Amazon AWS cloud database.ā€

So far, there are 3,200 clinicians using Eko to record patientā€™s heartbeats and lung sounds across an impressive 400 institutions.

Itā€™s used in departments as diverse as pediatrics, cardiology, pulmonology, and chronic-disease management, and the device has been certified by the FDA (Food and Drug Administration) and Health Canada, and plans to expand into the European Union in 2017.

ā€œIt took us eighteen months to get our class 2 device certification from the FDA,ā€ Bellet explained.

ā€œNow that weā€™ve got the digital stethoscope and software platform cleared, weā€™re now working on software thatā€™ll let us diagnose conditions using machine learning.ā€ he said. ā€œThink of it as being like ā€˜Shazam for Heartbeats'ā€

ā€œThe vision is to be able to characterize for the clinician what it is theyā€™re listening to to take much of the uncertainty out of the equation. Essentially, it would be putting a the ears of a cardiologist in the stethoscope of any clinician.ā€

I wanted to know how this would work in the real world. Bellet gave the example of a nurse who is listening to a patient, hears a murmur, but is unsure of whether itā€™s pathologic. He or she could run it against the algorithm and learn that itā€™s a mid-systolic murmur indicative of aortic stenosis, and is thus pathologic and requires a referral.

He was keen to emphasis that this, despite incredibly cool, is no replacement for the real thing.

ā€œThis will be classified as ā€˜decision supportā€™ and not diagnostic given it still relies on the clinicianā€™s expertise. But the goal is that it improves their sensitivity and specificity for catching and distinguishing difficult heart sounds at the point of careā€

Eko Devices plans to roll out its first algorithm to the Eko platform in early 2018. ā€œWeā€™ve built the foundation of our algorithm development and are in the process of expanding our annotated dataset. Weā€™ll then go into a clinical validation phase before submitting to the FDA and CE.ā€

But donā€™t expect it any time soon. Validation and approval is a long and arduous process.

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