Automated medication workflows call for structured, AI-ready intelligence

In an environment of rising clinical complexity and persistent burnout, healthcare organizations can’t afford medication workflows that are fragmented or inconsistent. They are looking to automate workflows, from medication reconciliation to drug screening and cost checks. AI agents represent an opportunity to streamline and automate.

The next era of medication intelligence begins now.

Medi-Span Expert AI delivers medication intelligence for the AI-driven workflows your teams are developing. Built on decades of Medi-Span® expertise, Medi-Span Expert AI delivers Medi-Span medication content in a way that helps AI more easily understand. Medi-Span Expert AI powering your agentic AI solutions delivers:

  • Structured, evidence-based medication intelligence designed for AI use.
  • Logic and tools that help guide how AI interprets and applies medication intelligence.
  • Clear visibility into the medication content AI systems leverage to inform tasks.
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How Model Context Protocol supports the future of agentic healthcare
Agentic AI should be grounded in evidence-based content to support decision logic within clinical workflows. Without medication intelligence, agents rely on generic large language models, which can introduce variability and the potential for inaccurate guidance.

Ready to advance medication workflows with reliable, AI-ready intelligence?

Speak to a specialist to explore how Medi-Span Expert AI can help cut development timelines and provide an intelligent and reliable foundation for medication workflows.
  • Why choose Medi-Span

  • Why medication intelligence AI matters

What customers are saying about Medi-Span evidence-based drug data

Healthcare doesn’t need more AI – it needs evidence-based AI

New data from Wolters Kluwer highlights a growing risk: 17% of healthcare staff use unauthorized AI tools.

Challenge #1 – General-purpose AI solutions continue to struggle with basic medication safety tasks1:

  • Drug formulation matching: 49% accuracy with 1.14 hallucinations per medication
  • Drug–drug interaction ID: 54.7% accuracy
  • Medication-order generation: 34% error rate

Challenge #2 – Even consumer-grade health AI tools struggle2:

  • Failure to provide appropriate triage recommendations for 35% of non-urgent presentations
  • Under-triaging 52% of emergencies

When general-purpose LLMs fall short, Medi-Span Expert AI integrates advanced AI with evidence-based drug data to deliver the rigor required in environments where patient safety is nonnegotiable.

Speak with a Medi-Span expert

With the rapid growth of agentic AI in healthcare, we’d welcome the opportunity to speak with you about your development and innovation needs. Let’s start a conversation to explore:

  • The role that AI agents can play in your tech innovation.
  • How MCP provides efficiency and confidence in your agentic AI builds.
  • The difference that credible and reliable drug data will have on powering your solutions and healthcare workflows.
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