Unravel the intricate process of bridging the AI chasm, a crucial step that connects the fear of the unknown with healthcare AI with real-world implementation. Understand how AI innovations can be translated into clinical settings, gain insights into practical applications and deployment in healthcare, and bridge the gap between innovation and implementation.

In this session, we will shed light on innovative applications of Generative AI in medical research, diagnostics, treatment planning, and healthcare management and explore the challenges, breakthroughs, and ethical considerations associated with employing Generative AI in healthcare.

Learning Objectives
1. Evaluate the Role of AI in Healthcare: Participants will gain a comprehensive understanding of the role and potential of AI in healthcare, including its applications in diagnosis, treatment, and patient care. They will explore how AI can improve operational efficiency, patient safety, and quality of care.

2. Identify AI Innovations in Patient Care: Participants will delve into the ways AI can enhance patient care, such as through personalized treatments, predictive modeling, and improving patient experiences. They will also discuss the ethical considerations and potential risks associated with AI in healthcare.

3. Analyze Operational Efficiency as a Result of AI: Participants will learn how AI can be leveraged to improve operational efficiency in healthcare settings. This includes automating repetitive tasks, reducing waste, and optimizing resource utilization. They will also examine case studies where AI has successfully improved operational efficiency.

4. Outline AI in Healthcare Settings: Participants will understand the practical challenges and strategies for implementing AI in healthcare. They will learn about the importance of interdisciplinary collaboration, the process of forming and managing data science teams, and the steps to ensure successful AI implementation.

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Staffing resources needlessly burden your contracting organization due to the scope and magnitude of contracting. Mistakes can be made in the contracting process and fulfillment of the contracts costing your IDN millions. 

Discover the transformative potential of artificial intelligence as it relates to interpreting and fulfilling contracts. Hear from representatives of Cleveland Clinic as they discuss the impact of AI on their organization and what implementation means for the contracting process. In this session, explore the innovative technologies that, when utilized, may bolster and reshape all facets of the supply chain.

Learning Objectives
1. Investigate success stories from Cleveland Clinic to see what implementing AI changed in their day-to-day operations.

2. Identify ways in which AI offers to optimize operational processes within your organization.

3. Construct actionable strategies for implementing artificial intelligence in contract fulfillment.

4. Define success in healthcare supply chain contracting by implementing artificial intelligence in the process.

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Healthcare organizations continue to invest heavily in functional areas that will advance strategies tied to digitization, consumerism, data analytics and growth of new and different services. Significant resources have been expended in optimizing digital platforms and clinical systems. Supply chains are evolving to incorporate the use of digital assets to align with the mission of the IDN in delivering optimal patient care.

This session will dive into how organizations have moved to a more mature digital-first strategy building a more resilient supply chain for your IDN. Huron thought leaders will also discuss how utilizing technology platforms (ERP and EHR) to better align with clinical systems can improve inventory management, better manage distributor relationships, mitigate risk, and reduce supply chain expenses.

Learning Objectives
1. Identify what technologies and innovations your organization can utilize to improve organization operations.

2. Formulate communication channels and collaboration techniques are required to successfully digitize your supply chain.

3. Evaluate what successful initiatives digital-first IDNs are launching to mitigate risk in their supply chain.

4. Analyze the future of the digital supply chain and what opportunities will be available to your organization.

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