Ethical AI in Value-Based Care: Balancing Innovation with Trust and Transparency
As the healthcare landscape shifts toward value-based care, the pressure to improve outcomes, control costs, and enhance care quality has never been greater. With increased scrutiny on reimbursement accuracy and declining quality payments, organizations must turn to scalable AI-powered solutions to keep up. However, the path to widespread AI adoption requires trust and transparency.
Join our industry experts as they explore strategies to accelerate ethical AI adoption and discuss the importance of transparency in building trust with leaders, users, and regulators.
Gain valuable insights into:
- How AI can enhance value-based care by improving outcomes, managing costs, and ensuring care quality.
- The importance of transparency in driving trust for widespread AI adoption in healthcare.
- Best practices for developing ethical AI models that ensure reliability, security, and auditability.
- Strategies to improve clinical review and data management with AI-driven tools.
- How to leverage AI solutions that comply with healthcare standards like MEAT and TAMPR.
Don’t miss this opportunity to discover key lessons learned and best practices for accelerating AI adoption in healthcare by building trust with ethical AI.
Topics at a Glance
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The growing role of AI in value-based care and its impact on quality improvement.
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Key strategies for developing and deploying ethical and transparent AI models.
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Ensuring trust and transparency in AI-driven processes across healthcare organizations.
Who Should Attend
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VP, Director, and Managers of Quality Improvement
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VP, Director, and Managers of Patient Experience
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VP, Director, and Managers of Healthcare Analytics
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VP, Director, and Managers of Clinical Effectiveness
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VP, Director, and Managers of Population Health
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VP, Director, and Managers of Value-Based Care Programs
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VP, Director, and Managers of Risk Adjustment
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VP, Director, and Managers of Clinical Informatics
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VP, Director, and Managers of Accountable Care Organization (ACO)
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VP, Director, and Managers of Clinical Operations
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VP, Director, and Managers of Medical Affairs
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VP, Director, and Managers of Quality and Patient Safety
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VP, Director, and Managers of Care Management
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VP, Director, and Managers of Clinical Integration
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VP, Director, and Managers of Health Plan Operations
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VP, Director, and Managers of Provider Relations
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VP, Director, and Managers of Government Affairs
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VP, Director, and Managers of Regulatory Affairs
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VP, Director, and Managers of Business Development
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VP, Director, and Managers of Strategy
Top Reasons to Attend
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Learn how AI can help your organization succeed in value-based care by enhancing outcomes and reducing costs.
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Gain insights into ethical AI practices that foster trust and transparency among stakeholders.
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Discover best practices for creating scalable AI-powered solutions that unify diverse healthcare data.
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Understand the importance of building a clear audit trail and ensuring AI security.
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Get ahead of the curve by learning how to adopt AI solutions that comply with evolving regulatory standards.