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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.
Managing the Workforce with AI
Join this thought-provoking discussion led by a panel of clinical and technology experts with demonstrated success in assessing, implementing, integrating and adopting AI workforce management capabilities. Our presenters will share case studies, success stories and best practices to guide your health care organization.
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
Join this panel discussion to learn how AI technology solutions can help provider organizations overcome staffing challenges in critical revenue cycle management (RCM) areas to respond more efficiently and effectively to payer denials.
Integrating Cybersecurity & Board Governance
Session III concentrates on board governance and the importance of integrating cybersecurity into organizational strategies.
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.
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.