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.

Learn from 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.