Training has always been essential in the pharmaceutical industry. However, with the rapid advancements in AI, the evolving nature of regulations and changing product portfolios, the need for ongoing training is more critical than ever. Professionals need to be constantly trained to limit risk and effectively provide treatment to patients.
“Training can be very demanding and expensive. Field-based teams are often out meeting with healthcare providers. On top of that, these sales reps, medical science liaisons, site monitors all have to know so much scientific information.”
– David Resendes, VP of Marketing
In the first part of our AI in Pharma series, we’re sharing the top industry training challenges Pharma companies and professionals are facing in the AI era. Let’s get into it.
Rapid technological transformation
The adoption of automation, digital labs and AI platforms has redefined Pharma workflows. With these technologies, Pharma employees are constantly adopting tools that make it possible to do their jobs more efficiently.
More specifically, many Pharma professionals interact with a variety of systems, including regulatory information management software, quality management systems, electronic health records, laboratory information management systems, clinical trials systems and research portals.
As a result, employees need continuous training to remain proficient with these systems, as the booming amount of AI tools, to keep pace with innovation and new concepts.
Complex product and research knowledge
Various roles in Pharma must understand the constant change in new clinical advances and protocols. Without quick access to training, employees perform research independently using AI that could potentially pull information from unreliable, inaccurate sources. Education needs to come from employers to ensure professionals have access to accurate information.
In addition, Pharma organizations often struggle to identify if certain employees are ready to support new drugs and innovations. Because training needs evolve so quickly in the age of AI, Pharma organizations not only need to deliver the required training but also identify who has not received the education that will enable them to successfully know what the product does, their value and how to communicate and educate HCPs to prescribe them.
Cross-functional collaboration requirements in a high-risk industry
Effective drug development and commercialization depend on seamless collaboration between research and development (R&D), clinical operations, quality, manufacturing and commercial teams. Misalignment across teams can lead to failed therapies and medicines that do not succeed in the market.
Inconsistent or inaccurate information sharing compounds these risks significantly. When pharmaceutical representatives educate healthcare professionals (HCPs), for example, precision and consistency are non-negotiable — every rep must speak the same language to ensure accurate, compliant product representation. Qstream addresses this challenge directly, ensuring that the right information reaches the right stakeholders at the right time, reducing knowledge gaps and reinforcing consistent messaging across the entire organization.
The stakes could not be higher. In an industry where missteps — or even a failure to innovate — can result in significant financial losses, compliance breaches and ultimately poor patient outcomes, organizations cannot afford to leave knowledge transfer to chance.
High regulatory burden
Training needs to adhere to appropriate and effective procedures. Training employees on good practices helps them learn to carry out responsibilities safely, ethically and effectively.
Organizations must quickly adapt to changing compliance requirements, which means embedded communications regarding changes, as well as support for employees within their tasks and workflows, need to be delivered.
Additionally, Pharma companies must comply with evolving global standards from various regulatory bodies, and at the same time, demonstrating compliance shouldn’t come at the expense of timely knowledge sharing that helps learning professionals keep pace with innovation.
With many changes to regulations, products and protocols, training in Pharma needs to be timely. That’s where AI comes in. While a contributor to training challenges, it’s also the solution.
Dive deeper into the specific challenges and greater impact AI is having on the industry and learning in the second part of this series.
