• The National Institute for Health and Care Excellence (NICE) finds HeartFlow Analysis can save NHS England as much as £391 per patient
• The digital technology is reducing reliance on unnecessary invasive diagnostic procedures and is cutting hospital waiting times
• The announcement follows NHS England’s MedTech Funding mandate, which went into effect on 01 April 2021

HeartFlow, Inc., a leader in revolutionizing precision heartcare, today announced that the National Institute of Health and Care Excellence (NICE) has renewed its support for the use of its AI-powered HeartFlow^® FFRct Analysis to fight coronary heart disease (CHD), one of the leading causes of death in the UK.

NICE has found that the HeartFlow Analysis continues to improve patient experience and reduce the need for invasive angiography, four years after its initial recommendation that the technology be used to support CHD diagnosis within the NHS. Furthermore, it has estimated that using the HeartFlow Analysis represents a cost saving of £391 per patient to NHS England, £177 higher than original calculations suggested in 2017.

The latest guidance represents a win for the use of digital technologies in the NHS and reflects its commitment to improving patient care through innovation. The HeartFlow Analysis was recently selected as one of the innovations supported by NHS England’s new MedTech Funding Mandate, which aims to provide new medical devices and digital products to patients faster.

NICE also recognises the non-invasive technology’s improved performance in recent years, including:

• Ongoing incremental software releases to address security updates, compatibility updates and user experience improvements based on clinician feedback;
• A reduced turnaround time for sharing findings of the Analysis with clinicians - from 48 hours in 2017 to six hours;
• Enhanced options for viewing the 3D model, such as via mobile platforms, integration with electronic health records and shared patient management updates.

Dr. Tim Fairbairn, Consultant Cardiologist, at Liverpool Heart & Chest Hospital and honorary senior lecturer at the University of Liverpool Hospitals says: “This latest assessment from NICE that the HeartFlow technology offers significant cost savings through avoidance of invasive investigations and streamlining treatment for patients reinforces what we have been seeing in clinical practice. In light of that, we’re pleased to continue its use within the healthcare service at Liverpool Heart and Chest Hospital where it is helping improve our care of CHD patients.”

The HeartFlow Analysis streamlines the diagnostic experience for patients – often enabling physicians to eliminate invasive diagnostic procedures for those who do not need them. It also helps physicians swiftly and accurately diagnose those who do need invasive procedures. The technology limits redundant non-invasive diagnostic testing, reduces patient time in hospital and face-to-face clinical contact, and helps ensure that hospital visits for those who do need them are streamlined, which is particularly crucial during the Covid-19 pandemic

Dr. Campbell Rogers, Executive Vice President and Chief Medical Officer, HeartFlow, says: “It’s fantastic to see the renewed guidance from NICE which continues to advocate a CTA-first approach to diagnosing CHD. The HeartFlow Analysis has been identified as a best practice, non-invasive option for patients with stable, recent onset chest pain. It helps clinicians to make a diagnosis more confidently, while reducing the time to diagnosis for patients.”

“The HeartFlow Analysis is now available in 65 NHS hospitals across England and is planned to be in 30 more by 2022. With the support of NICE and as part of NHSE’s MedTech Funding Mandate, we’re now in a position to scale and ensure that more clinicians and patients can benefit from our non-invasive technology and receive a quicker CHD diagnosis and treatment plan.”

About the HeartFlow FFRct Analysis

The HeartFlow Analysis is a non-invasive, cardiac test for stable symptomatic patients with CAD, the leading cause of death worldwide. Starting with a standard coronary CTA, the HeartFlow Analysis leverages deep learning and highly trained analysts to create a digital, personalized 3D model of the heart. The HeartFlow Analysis then uses powerful computer algorithms to solve millions of complex equations to simulate blood flow and provides FFRct values along the coronary arteries. This information helps physicians evaluate the impact a blockage may be having on blood flow and determine the optimal course of treatment for each patient. A positive FFRct value (≤0.80) indicates that a coronary blockage is impeding blood flow to the heart muscle to a degree which may warrant invasive management.

Data demonstrating the safety, efficacy and cost-effectiveness of the HeartFlow Analysis have been published in more than 425 peer-reviewed publications, including long-term data out to five years. The HeartFlow Analysis offers the highest diagnostic performance available from a non-invasive test.¹ To date, clinicians around the world have used the HeartFlow Analysis for more than 75,000 patients to aid in the diagnosis of heart disease.

About HeartFlow, Inc.

HeartFlow, Inc. is a leader in revolutionizing precision heartcare, uniquely combining human ingenuity with advanced technology. Our non-invasive HeartFlow FFRct Analysis leverages artificial intelligence to create a personalized 3D model of the heart. By using this model, clinicians can better evaluate the impact a blockage has on blood flow and determine the best treatment for patients. Our technology is reflective of our Silicon Valley roots and incorporates decades of scientific evidence with the latest advances in artificial intelligence. The HeartFlow FFRct Analysis is commercially available in the United States, Canada, Europe and Japan. For more information, visit www.heartflow.com.

1. Driessen, R., et al. Comparison of Coronary Computed Tomography Angiography, Fractional Flow Reserve, and Perfusion Imaging for Ischemia Diagnosis. J Am Coll Cardiol. 2019;73(2),161-73.

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