The International Conference on Artificial Intelligence for Health and Healthcare is scheduled for December 02-03, 2024, in Sydney, Australia. Organized by the International Research Conference, this event is part of a federated organization committed to uniting diverse scholarly events within the conference program. The conference's duration depends on the number and length of presentations, providing exceptional value to students, academics, and industry researchers. Aimed at bringing together leading academic scientists and researchers, the conference serves as a premier interdisciplinary platform to exchange experiences and research results on all aspects of Artificial Intelligence for Health and Healthcare. Discussions will cover recent innovations, trends, concerns, and practical challenges in these fields.

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Join us to learn data conversion strategies that will reduce manual data reconciliation effort through the use of AI and benefit clinicians upon go-live of an EHR transition.

Learning Objectives

• Recognize common challenges faced during EHR transitions
• Identify strategies to reduce the risk for adverse drug events
• Understand how AI can enhance data reconciliation and reduce EHR user fatigue

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Avalues smart healthcare solution not only improves the quality of care, but also enhances the communication between healthcare professionals and patients. Join our Healthcare Webinar, we will provide the new AI technologies and products, which is aimed at the utilization and allocation of resources and optimization of hospital management and efficiency.

Healthcare organizations face significant challenges in terms of staffing (on-shore or off-shore), productivity, throughput, and/or quality. Autonomous coding solutions powered by artificial intelligence can help address these challenges, but not all autonomous coding solutions are created the same.

During this webinar, we discuss the differences in artificial intelligence technologies and the real-world impact they have. We will examine a case study across multiple health systems to show how AI-powered autonomous coding solutions can achieve high automation rates at a high quality. The case study will also show how AI-powered autonomous coding solutions can significantly alleviate staffing pressure, eliminate physician burden, increase throughput, decrease time to bill and reduce denials.