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Updated: May 26, 2025

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
Published on: July 12, 2024
PRIMARY-HF: Heart Failure Screening in Primary Care using Point-of-Care
Jonathan Dos Santos1, João Pedro Nobre2, João Pedro Ferreira3
1General and Family Medicine Unit. Hospital Lusíadas Paços de Ferreira. Paços de Ferreira. Portugal; Centro de Investigação em Tecnologias e Serviços de Saúde (CINTESIS). Porto. Portugal; Department of Medical Sciences. Universidade de Aveiro. Aveiro. Portugal.
Introduction:
Heart failure is a major health challenge with high morbidity and socioeconomic burden, especially when diagnosis is delayed. In primary care, HF detection can be challenging due to symptoms overlapping with other conditions, limited access to diagnostic tools, and resource constraints. This study explores the use of natriuretic peptides (NT-proBNP) and point-of-care ultrasound (POCUS) with artificial intelligence integration as tools to improve HF screening and management in primary care. This study aims to determine whether NT-proBNP testing alone or combined with cardiac POCUS improves heart failure diagnosis and management in primary care settings, and to evaluate the cost-effectiveness of this approach.
Methods:
This randomized controlled trial will involve patients aged 50 or older with suspected HF or cardiovascular risk factors, recruited across four primary care centers. Participants will be randomly assigned to one of four groups: standard of care (SoC), SoC with NT-proBNP, SoC with NT-proBNP and POCUS, and SoC with POCUS. Primary outcomes include new HF diagnosis, initiation of guideline-directed medical therapy, and improvement in health-related quality of life. Secondary outcomes include cost-effectiveness and the quality assessment of POCUS performed by trained primary care physicians. The integration of NT-proBNP and POCUS in primary care may enhance early heart failure diagnosis, optimize therapy, improve patient quality of life, and reduce healthcare costs associated with heart failure misdiagnosis and delayed treatment. This study could support the broader adoption of accessible diagnostic tools to improve heart failure management in primary care.
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