Wolters Kluwer Health is expanding its push into agentic AI by building foundational tools to support medication workflows and prescription automation. The company has launched Medi-Span Expert AI, offering “AI-ready,” expert-curated drug intelligence designed for digital health developers building AI-driven clinical tools. Central to the rollout is a new Model Context Protocol (MCP) server, which connects third-party AI agents and applications directly to Medi-Span’s structured, evidence-based medication content.
Medi-Span’s drug databases are widely used across healthcare—from hospitals and pharmacies to insurers and pharmacy benefit managers—to support medication safety, formulary management, claims processing, and pricing decisions. With the MCP server, Wolters Kluwer aims to provide a standardized integration layer that allows AI agents to access validated medication intelligence in real time. The company describes MCP as a “universal translator” that bridges AI systems and trusted clinical data, addressing limitations in traditional APIs and flat-file integrations that are not optimized for agentic workflows.
Initial applications include medication lookup and reconciliation, drug interaction screening, duplicate therapy detection, order validation, and patient-specific medication guidance. The platform also has potential uses in formulary management, pricing, and supply chain optimization. According to company leaders, grounding AI in clinically governed, machine-readable drug content is essential to ensuring accuracy and safety at scale, especially as AI adoption in healthcare accelerates.
The MCP server is currently available to select innovation partners developing AI-powered medication management and clinical decision support solutions. Wolters Kluwer says future releases will expand logic sets and automation capabilities. The initiative builds on the company’s broader AI strategy, including its generative AI-powered UpToDate Expert AI, as it seeks to embed reliable, evidence-based intelligence into next-generation healthcare workflows.
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