Introduction

For decades, Medical Information (MI) has been an essential function within pharma, but largely a reactive one. This is especially true in medical information contact centers, which serve as the first line of support for HCPs and patients. When someone has a question about a product, they reach out, receive an answer, and the interaction is considered complete.

But was it ever this simple? And what does that model look like in a digital environment where AI in medical information is reshaping how answers are delivered?

Who Do Customers Interact with on the MI Side?

MI contact center teams are typically made up of professionals trained on the company’s products. They work with approved labeling and scientific response documents and follow clear escalation paths when additional expertise is required.

That doesn’t mean they have every answer at hand.

In the pharma world, oncology products, biologics, cell and gene therapies, and medical devices are increasingly complex and often used in highly specific patient populations. Not every question can be anticipated, and answers aren’t always immediately available. As personalized medicine expands, medical information teams must adapt accordingly.

When an answer isn’t readily available, teams rely on established escalation paths while maintaining a consistent, high-quality customer experience. Even in complex scenarios, MI professionals are responsible for setting clear expectations and upholding a high standard of interaction.

This creates a core challenge: deliver accurate information when possible, escalate efficiently when needed, and manage each interaction with clarity and professionalism.

The Global Challenge for Medical Information Contact Centers

This is already a complex challenge. But for global organizations, it becomes even more demanding.

Many pharma companies operate across multiple countries, and medical information contact center teams must support inquiries in multiple languages. This often means responding to a caller in Italian or Swedish while working from scientific response documents written in English.

In practice, this requires teams to listen with empathy, identify the appropriate response, manage expectations when answers aren’t readily available, and navigate language differences at the same time.

The linguistic challenge is only one layer.

The Complexity of Evolving Regulations in Medical Information

The complexity doesn’t stop there. In pharma, interactions are governed by strict regulatory requirements due to their direct impact on patient health. During any customer interaction, an adverse event may be mentioned.

For example, a caller may ask whether a medication can be taken after a meal while noting occasional nausea. From that moment, the clock starts. The adverse event must be reported immediately to the Safety team, then processed through an internally approved workflow before submission to health authorities.

Adverse events are only part of the picture. Product complaints—such as a damaged package or unexpected change in a product’s appearance—must also be reported promptly to Quality and handled according to established procedures.

All interactions must be documented, including:

• Customer details (within the boundaries of the privacy law)
• The inquiry
• The response
• Any escalation
• Adverse events, if present
• Product complaints, if present
• Final resolution

At the same time, inquiries now arrive through multiple channels, including phone, email, webforms, live chat, and chatbots. Medical information contact center teams must manage these touchpoints while maintaining quality, consistency, and timely responses.

The question now becomes: how can teams deliver the expected level of service under this level of complexity?

AI and Digital Touchpoints in Medical Information

This is where technology—particularly AI in medical information—can support teams. By automating routine tasks, these tools allow teams to focus more on customer interaction and delivering a high-quality experience.

In practice, this takes the form of targeted interventions rather than a complete technology overhaul:

• AI-powered triage: Classifies and routes inquiries based on urgency, topic, and caller type. This is particularly helpful when multiple channels are in use or when specialized agents are required (for example, oncology-focused teams).
• Chatbots: Automate responses to common questions and handle after-hours interactions, with the option to escalate to live agents when needed.
• Agent assist: Helps agents quickly find accurate, up-to-date, approved responses during live interactions, reducing the need to search across multiple systems.
• Speech-to-text and text analytics: Enables real-time transcription and analysis of conversations, supporting more efficient documentation, quality monitoring, and insight generation.
• Predictive analytics: Anticipates inquiry trends, staffing needs, and potential safety signals.
• Automated documentation: Supports accurate, compliant, and efficient call logging and reporting.

Considerations When Implementing Digital Tools in Medical Information

One of the most common concerns is that introducing new technologies also introduces risks and requires time to implement. These concerns are valid. A structured approach can help address them:

• Analyze existing processes and workflows to identify critical points and bottlenecks
• Start with pilot projects focused on high-impact use cases
• Bring key stakeholders on board, including IT, compliance, and end users
• Define success metrics and monitor performance

When implementing AI-powered tools, the most effective approach is to treat them as a partner that augments—rather than replaces—skilled MI professionals. These tools can improve efficiency and consistency, while the human element remains essential for delivering accurate, empathetic support.

What It Takes to Move from Reactive to Strategic

Making the shift requires both operational discipline and the right digital tools.

Medical information teams already manage a demanding role that continues to expand—with more channels, evolving regulatory requirements, and increasingly complex inquiries. What makes that role more manageable is how well teams are equipped to respond.

Implementing AI and automation tools is not about adopting technology for its own sake. It’s about using the right tools to deliver faster, more accurate, and more consistent support without losing the human judgment and empathy that define effective MI service.

With a clear strategy, medical information contact centers can move from reactive to strategic, strengthening their role in patient care and safety while building the flexibility to adapt to what comes next.