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GHATI: Tracking QI Metrics Show Promise For Improving STEMI Care in LMIC

American College of Cardiology

Implementing and tracking quality improvement (QI) metrics may lead to improved outcomes in patient care after STEMI in low- and middle-income countries (LMIC), according to an analysis of data from the ACC's Global Heart Attack Treatment Initiative (GHATI).

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Leveraging AI-Enabled Remote Cardiac Monitoring to Improve Cardiovascular Care

DAIC

By enabling the decisive shift from a reactive to a proactive cardiology model, this technology doesnt just improve patient outcomes it is also helping keep cardiovascular care sustainable and affordable. days per patient, leading to anticipated annual savings of $55-$72 million.

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New Research Shows Potential of GHATI to Improve STEMI Care in Low-, Middle-Income Countries

American College of Cardiology

STEMI remains a major cause of morbidity, mortality, disability, and high health care costs in Latin America and the rest of the world. New data assessing the impact of ACC's Global Heart Attack Initiative (GHATI) on patient care outcomes at the CEDIMAT Cardiovascular Center in Santo Domingo, Dominican Republic.

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Bridging the Gap: Enhancing Stroke Recovery Through Digital Health Solutions

DAIC

Issues like cognitive impairment and social determinants of health (SDOH) hurdles often go unrecognized until patients are home. To improve outcomes and be in compliance with new regulations, it's crucial to better identify and address these issues during the recovery period. I had had a heart attack previously.

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Embracing Cardiac Imaging: Overcoming Barriers, Adopting In-house Solutions, and Navigating Future Advancements

DAIC

Cardiovascular CT's non-invasive nature allows patients to avoid being admitted to a hospital for imaging, which makes it more convenient and patient-friendly. Committed to advancing patient care, I introduced cardiac CT in my private practice, becoming the first private cardiologist in the region to do so.

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Study Finds AI Can Help Predict Patients With High Risk of Major Adverse Cardiac Events

DAIC

2, 2024 — Eko Health recently announced a new independent study from researchers at Imperial College London (Imperial) that demonstrated how AI can identify patients with significantly higher risk of experiencing major adverse cardiac events (MACE), including heart attacks and heart failure. Nicholas S.

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How AI and Machine Learning are Transforming Cardiology Practice Management

GEMMS

These technologies are not just reshaping but also empowering how cardiology practices manage operations, deliver care, and enhance patient outcomes. These technologies are reshaping how cardiology practices manage operations, deliver care, and enhance patient outcomes.