AI is changing the way Pharma teams work, collaborate and learn. In parts one and two of our AI in Pharma series, we shared the challenges Pharma professionals and organizations are facing in the age of AI, as well as the skill gaps it’s created.
In this final part, we’re exploring the power AI has to be the solution to these challenges.
How learning fits into the Pharma industry
As AI continues to move quickly across the Pharma industry, knowledge becomes outdated as well. This creates a strong need for continuous, targeted training that helps employees upskill to keep pace with new tools, treatments, regulations, data-driven workflows and faster decision cycles, empowering professionals to confidently apply AI responsibly and translate new skills into real-world outcomes.
Using Microlearning AI to meet training challenges in Pharma
What Pharma leaders need to concentrate on is how to leverage AI to improve training efforts. Some Pharma companies are already embracing AI for training. With 40% of Pharmaceutical firms having introduced AI-based training modules for employees and 45% of Pharma companies planning to implement AI-based upskilling programs in the near future, this shows both a real adoption and growing interest in AI for workforce development.
Qstream AI has been built to securely enhance content development by:
- Reducing production timelines to transform scientific materials into engaging microlearning
- Rapidly updating content for clinical documents that change frequently without time-intensive design efforts
- Transforming SOPs into engaging, role-specific, bite-sized learning moments
- Converting product labels, detail aids and medical decks into microlearning courses
- Generating training content from videos and recorded live sessions
- Supporting faster translation and localization while keeping regulatory meaning intact
- Scaling learning by easily creating multiple courses that automatically deliver training to learners based on their personal progress
Targeted and Personalized Training
Using AI, Pharma companies no longer need to provide generic learning courses where hundreds of employees are interacting with the same content. Instead, they can offer training that adapts to the needs of each learner.
“With AI, there’s actually an understanding of what you know, how you’re responding to the training, what topics you’re struggling with and put you through learning pathways to improve your proficiency on specific topics and also inform your managers on how to best coach you on it.”
— David Resendes, VP of Marketing at Qstream
The human versus AI debate
AI is not replacing humans, especially not in Pharma. AI is a tool that should be used to help accelerate innovation and fast-track learning.
Doctors and clinicians aren’t going to trust a machine alone; they need to clearly understand a product’s value and relevance, something that can only be done when communicating human-to-human. Doctors see firsthand how medications affect patients, which is why those human-led conversations, backed by strong evidence, remain essential when introducing new treatments.
Furthermore, AI is not going to replace L&D and training teams; it’s going to empower them. Qstream AI, for example, saves time creating microlearning courses, updating outdated training and expanding learning into pathways designed for each person — it automates tasks that would’ve previously taken hours or days but can now be done in minutes.
Adopting AI-powered microlearning helps training teams stay ahead. Rather than building training programs for today’s needs, learning and development (L&D), medical and clinical education and sales enablement teams should leverage AI to keep up with education around upcoming drug developments, regulatory changes and other emerging industry trends.
By creating microlearning courses in a matter of minutes, rather than days, teams can ensure their learners are ready the moment innovations reach the market.
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