An App to Detect Heart Attacks and Strokes - and Save Lives

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests.

The ECHAS app (Emergency Call for Heart Attack and Stroke) is being developed by experts at UVA Health, Harvard, Northeastern and other leading institutions. It is designed to help people recognize the signs of cardiac and neurological emergencies so that they get care as quickly as possible, for the best possible outcomes.

Put to the test in an initial clinical study with more than 200 real-life emergency-room patients, the app proved effective at identifying people suffering strokes or heart attacks. It had a "high sensitivity" the researchers report, for detecting people who needed emergency care and was rated "highly usable," suggesting it could be an easy and effective resource for people untrained to recognize the signs of a potentially devastating health emergency.

"Heart attack and stroke are two leading causes of death in Virginia and the U.S. Our study found that the ECHAS app could accurately identify patients with heart attack, stroke and other emergency brain or heart problems who needed evaluation in the emergency room or admission to the hospital," said UVA Health neurologist Jonathan R. Crowe, MD, MPH, one of the study's authors. "We hope ECHAS could help save lives by reducing delay and helping patients get the heart attack and stroke care they need."

When it comes to strokes and heart attacks, time is of the essence. Doctors consider the first 60 minutes after a stroke or heart attack the "golden hour" because that is when medical treatments are the most effective. Waiting can have grave, long-term consequences - more than half of stroke deaths, for example, occur before patients even reach the hospital. And those who do survive can be left with life-changing disabilities. Yet many people hesitate to seek care because they are uncertain if they're really suffering a medical emergency.

That's where ECHAS would come in. The app is based on the same questions doctors ask when patients arrive at the emergency room; it also includes a finger-tapping test that can detect weakness on one side of the body. After users complete their virtual exam, the app calculates a risk score and advises whether to call 911, call a medical hotline or contact their doctor or other care provider.

In the app's initial clinical trial, 202 emergency room patients were asked to use the app after they had been seen and stabilized. Of these patients, 57 were suffering stroke symptoms and 145 were suffering heart attack symptoms. The average age of the participants was 62; most were white and 126 were men.

The app proved 100% effective at identifying patients who would ultimately be admitted to the hospital after their emergency evaluation. The app was also fast, detecting strokes in less than two minutes and heart attacks in only one. "In heart attack and stroke care, time can make the difference between life and death," said Crowe, who is also part of the University of Virginia School of Medicine's Department of Public Health Sciences. "We need solutions like ECHAS that are accurate, fast and easy to use."

The app is not yet available, and the researchers say further testing in larger trials is needed. But they are pleased about the promise their app has displayed in its first test-run.

"At UVA, we have partnered with UVA’s Center for Telehealth to apply for a grant to study ECHAS here in Virginia," Crowe said. "We want people in Virginia and around the world to be able to use their smartphones and tablets to reduce delay and help them get the care they need, especially in medical emergencies."

Dhand A, Mangipudi R, Varshney AS, Crowe JR, Ford AL, Sweitzer NK, Shin M, Tate S, Haddad H, Kelly ME, Muller J, Shavadia JS.
Assessment of the Sensitivity of a Smartphone App to Assist Patients in the Identification of Stroke and Myocardial Infarction: Cross-Sectional Study.
JMIR Form Res. 2025 Mar 3;9:e60465. doi: 10.2196/60465

Most Popular Now

Study Finds One-Year Change on CT Scans …

Researchers at National Jewish Health have shown that subtle increases in lung scarring, detected by an artificial intelligence-based tool on CT scans taken one year apart, are associated with disease...

Yousif's Story with Sectra and The …

Embarking on healthcare technology career after leaving his home as a refugee during his teenage years, Yousif is passionate about making a difference. He reflects on an apprenticeship in which...

New AI Tools Help Scientists Track How D…

Artificial intelligence (AI) can solve problems at remarkable speed, but it’s the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists...

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

New Antibiotic Targets IBD - and AI Pred…

Researchers at McMaster University and the Massachusetts Institute of Technology (MIT) have made two scientific breakthroughs at once: they not only discovered a brand-new antibiotic that targets inflammatory bowel diseases...

Highland to Help Companies Seize 'N…

Health tech growth partner Highland has today revealed its new identity - reflecting a sharper focus as it helps health tech companies to find market opportunities, convince target audiences, and...