Expansion brings AI-powered care coordination to underserved communities for clinical trial recruitment
Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced the expansion into outpatient ambulatory centers to accelerate clinical trial recruitment. Amavita Heart and Vascular Health™, with facilities spanning four locations in Miami-Dade County, has taken a pioneering step by integrating Viz.ai technology into their outpatient ambulatory centers to screen and recruit patients in a clinical study on heart failure, sponsored by a leading, global biopharma company.
“We pride ourselves on research and the impact that it can have on new discoveries,” said Pedro Martinez-Clark, MD, founder of Amavita Heart and Vascular Health™. “Having an AI-powered platform that integrates with our EMR system will allow us to save valuable time and resources often involved with manual chart reviews for research studies.”
Viz.ai’s expansion into outpatient clinics allows both ambulatory and hospital-based research sites to access the artificial intelligence (AI)-powered platform, Viz RECRUIT, to aid with patient identification and patient recruitment for clinical research. With 80% of clinical studies failing to meet their enrollment timeline target1, reducing time in patient screening and identification can help get novel therapies to patients sooner. Viz RECRUIT integrates with healthcare IT systems of record (e.g., electronic health records, core labs) to simplify the screening process. The AI-powered solution identifies eligible clinical trial candidates and connects the research team to accelerate clinical trial enrollment in a secure, compliant mobile application.
“Heart failure patients who may be eligible for clinical trials are seen across a number of different healthcare settings,” said Jayme Strauss, chief clinical officer at Viz.ai. “By deploying Viz.ai in outpatient clinics, we are not only reducing the manual burden of patient identification on research staff but also reaching underserved and diverse clinical trial populations.”
Outpatient care for heart failure has increased.2 In 2016, there were 1,932,000 office visits and 414,000 emergency department visits with a primary diagnosis of heart failure.2 By 2030, it is estimated that more than 8 million individuals in the United States (U.S.) will have heart failure for a prevalence rate of 1 in every 33 individuals.2 The annual cost of caring for a patient with heart failure is near $30,000 in the U.S., with U.S. heart failure costs expected to reach at least $70 billion per year by 2030 ($244 per every U.S. adult) with the total cost of caring for patients with heart failure reaching $160 billion.2 Most of this cost comes from inpatient care. By identifying patients in the outpatient setting before a patient is hospitalized, Viz.ai is aiding access to early treatment and potentially helping to reduce overall costs for heart failure.
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