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Viz.ai Announces Expansion Into Outpatient Ambulatory Centers to Accelerate Clinical Trial Recruitment in Heart Failure

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, 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.

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“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.”

“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.”

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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.”

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