Artikel
The future of managed care: How AI can transform pharmacy operations by 2030
Explore how artificial intelligence could help managed care organizations address rising operational complexity, strengthen decision-making, and improve pharmacy workflows by 2030. Drawing on insights from AMCP 2026, it outlines key barriers to adoption, a four-phase implementation framework, and a maturity roadmap to help organizations move from early experimentation to more integrated, decision-grade AI capabilities.
Key takeaways
- Managed care is facing growing operational complexity, and AI success by 2030 will depend on disciplined implementation, strong governance, and clear strategic intent.
- While most payer organizations are aware of and have access to AI tools, the bigger challenge is building trust, validating outputs, and integrating AI into decision-making workflows.
- Organizations should follow a structured plan–deploy–monitor–scale framework to move from ad hoc AI use to decision-grade, enterprise-level capability.
- A four-level maturity roadmap can help organizations assess current progress, benchmark capabilities, and prioritize next steps toward 2030.
