Leanna Baker Details Managed Care AI Adoption
The Cencora executive outlines strategic phases for integrating artificial intelligence into health organizations.
Updated on Oct. 28, 2026 in Artificial Intelligence
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Leanna Baker presented a roadmap for AI implementation at the Academy of Managed Care Pharmacy Nexus 2026 meeting. The session detailed how organizations can navigate ethics, governance, and administrative efficiency through structured adoption.
Why it matters
Managed care organizations must establish robust governance frameworks through simple AI tools before scaling complex systems. This structured approach helps entities manage ethical considerations and prior authorization workflows effectively.
AI adoption follows three distinct phases consisting of piloting, scaling, and optimization. Organizations move through these stages by defining clear goals, key performance indicators, and success criteria before beginning tool development.
The players
Leanna Baker
Leanna Baker is an executive at Cencora who focuses on the strategic implementation of artificial intelligence within managed care systems.
Cencora
Cencora is a healthcare organization that has progressed into the scaling phase of its artificial intelligence adoption strategy.
Academy of Managed Care Pharmacy
The Academy of Managed Care Pharmacy is a professional association that hosts the Nexus meeting to discuss developments in the managed care industry.
The details
The research session addressed critical operational areas including drug utilization review and the reduction of administrative burdens. Organizations are encouraged to prioritize governance and ethical frameworks as foundational steps for future growth.
Timeline
Leanna Baker presented her research session on October 27, 2026.
The Tech Race
The adoption of artificial intelligence at the Academy of Managed Care Pharmacy Nexus 2026 meeting signals a shift toward formalized governance in health technology. This transition replaces informal piloting with structured, enterprise-wide scaling strategies to manage clinical data.
As health organizations scale AI tools, patients may experience faster processing times for prior authorizations and drug utilization reviews. These improvements aim to reduce administrative burdens, potentially leading to more efficient healthcare delivery and fewer delays in care.
The takeaway
Organizations should focus on establishing governance and defining success metrics before attempting to scale new AI technologies. Implementing simple tools early provides a necessary foundation for navigating the ethical complexities of clinical data integration.
Further reading
Learn more about the latest developments in the field by visiting our Artificial Intelligence section.
Source note: This article includes information reported by Ajmc.
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