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Member

FY 2025 Inpatient Prospective Payment System Proposed Rule Member Webinar

In this webinar, AHA Policy staff Shannon Wu, Tammy Love, Stephen Hughes, and Akin Demehin delved into the key provisions outlined in the 

Shifts In Digital Care Delivery & Implications To Patient Safety

In Session I, we explored the implications of digital transformation in health care delivery models.

Revolutionizing Revenue Cycle Management Efficiency with Artificial Intelligence

AHA Leadership Scan: A Series of Virtual Panel Discussions

Knock Out the Noise on Artificial Intelligence

The global state of artificial intelligence (AI) in health care is moving toward systemic reinvention, not just innovation. At the same time, health care finds itself in an unprecedented moment of strain. Enterprises are excited to experiment and transform, but they face serious risk of taking action without discipline or focus on measurable value. Join us as we take a deep dive on these topics with our panel of executive, clinical and administrative leaders who will talk about best practices, challenges and how we can usher in the future of health care together.

Cybersecurity In Health Care | AHA Affinity Forum

Join the AHA and Censinet for a 3-part series of interactive virtual panel discussions on key aspects of cybersecurity in health care.

SHSMD Webinar | Beyond the Buzz: What Health Care Marketers Need to Know About AI

Join us for a session aimed at understanding the impact of AI in health care marketing and beyond.

Integrating Cybersecurity & Board Governance

Session III concentrates on board governance and the importance of integrating cybersecurity into organizational strategies.

Evaluating the Impact of AI in Health Care Cybersecurity

In Session II, we delve into cyber transformation in the age of AI, evaluate both the benefits and the risk of the use of generative AI.

How Artificial Intelligence Can Support Precision Heart Care

This Leadership Scan episode will examine one AI-powered system developed from 10 million images of patients’ hearts gathered over a 15-year period from over 40,000 patients in landmark, multicenter clinical trials. Panelists will explore applications and benefits of machine learning, deep learning, natural language processing and coronary computed tomography angiography (CCTA) analysis in aiding personalized coronary artery disease care.