What’s Really Driving Long Patient Support Calls?

For one pharmaceutical brand, rising call times within their patient support program were raising concerns. What initially appeared to be an operational issue, with increasing average handle times, strained agent capacity, and rising costs, pointed to something more significant.

The brand team suspected the conversations themselves were revealing deeper friction in the patient experience.

In pharma, long calls don’t just affect contact center performance. They often signal deeper barriers to therapy access, delays in treatment initiation, and breakdowns in the patient journey.

The issue wasn’t call length. It was what longer calls were revealing about access, communication, and the patient experience.

The Approach: Looking Beyond Call Center Metrics

Traditional reporting could quantify the problem, but not explain it.

To get a clearer picture, the team analyzed thousands of patient support and hub calls using AI-powered conversation analysis.

Rather than relying on high-level categories, they looked at how patients actually described their experiences, where processes were breaking down, and when conversations became more complex or emotionally charged.

This made it possible to understand what was happening inside the interaction, not just how long it lasted.

What They Found: Long Calls Were a Symptom of Access Friction

The analysis revealed a consistent pattern. Extended call times were being driven by upstream barriers that directly affected therapy initiation and adherence.

1. Access Confusion Was Driving Repeat Conversations

Many patients came into calls without a clear understanding of coverage, costs, or next steps.

Agents were left to explain complex access pathways in real time, often more than once per patient. What should have been resolved earlier in the journey was being deferred to the contact center.

When patients rely on support teams to interpret access, it is a sign that key information is not reaching them when it should.

2. Gaps Across Hubs and Field Teams Slowed Progress

A significant portion of calls centered on status checks, missing information, or unclear next steps.

Patients, providers, and support teams were not always aligned. As a result, agents spent valuable time tracking down answers, clarifying inconsistencies, and moving processes forward.

These issues were not isolated. They reflected broader friction across the patient support ecosystem, and the contact center was where it became visible.

3. Emotional Friction Signaled Adherence Risk

Longer calls often included moments of frustration, anxiety, or uncertainty.

In these interactions, agents were doing more than answering questions. They were rebuilding trust, providing reassurance, and helping patients stay on track.

These were not simply longer conversations. They were moments that could influence whether a patient starts or abandons therapy. Emotional cues in these calls pointed to potential adherence risk much earlier than traditional metrics could.

The Insight: Call Length Alone Doesn’t Tell the Story

By analyzing conversations instead of dashboards alone, the brand uncovered an important distinction.

Some long calls were necessary. They reflected the time required to support patients through complex or high-stakes situations.

Others were preventable. They were driven by gaps in access, communication, and coordination.

Without this level of visibility, both were treated the same. That made it harder to identify where to improve and where to preserve high-value interactions.

The Impact: From Call Reduction to Barrier Removal

With a clearer understanding of what was driving call time, the brand shifted its focus.

Instead of trying to shorten calls across the board, they worked to remove the friction behind them. This included improving how access and affordability information was communicated, addressing breakdowns across hub and field coordination, and better supporting teams handling complex or emotional interactions.

Just as important, teams across brand, market access, and patient services aligned around a shared view of the patient experience grounded in real conversations.

Why It Matters for Pharma

Every patient conversation contains signals about how access is working in practice.

It shows where patients are getting stuck, what is causing delays, and what may put therapy initiation or adherence at risk.

Too often, those signals are buried in unstructured data and go unused.

Authenticx helps pharma teams make sense of those conversations at scale. With that visibility, teams can move faster to reduce friction, support patients more effectively, and make better decisions across the brand.

Stop Managing Call Time. Start Understanding What It’s Telling You.

Long calls are not the problem. They are a signal.

The opportunity is understanding what is behind them and acting on it.

Learn how Authenticx helps you turn patient conversations into insights that improve access, adherence, and performance.