Today, healthcare is challenged by increasing complexity, rising costs and a workforce that is struggling to meet the needs of its patients. Healthcare spending, which is already high, simply cannot keep up. For most payers, this means they find ways to reduce spending while maintaining or ideally, improving care experience and outcomes.
It has been predicted that AI applications can cut annual US healthcare costs by USD 150 billion in 2026. While this is true, AI adoption has been a struggle for most healthcare payers.
Heavy reliance on rules-based technology and AI that is generic, blackbox and disconnected is slowing their AI adoption.
The emergence of decision intelligence and its ability to plug financial leakage, maximize cost avoidance, and uncover new streams of recoverable losses is playing a crucial role in reviving payer enthusiasm for AI adoption.
IDC’s new report examines the rise of healthcare decision intelligence and the transformational strategic, financial, and operational outcomes it’s delivering for payers.
What’s in the report:
- Why the application of AI as Decision Intelligence (DI) is gaining popularity
- Five essential steps to create decision intelligence (DI) applications
- The four big benefits decision intelligence (DI) applications enable
- Decision intelligence (DI) use cases that are popular among payers
- Who and what to consider when implementing DI for you