The Future of Pharma Training: Insights from the Learnexus Roundtable

Keeton Schenck
The Future of Pharma Training: Insights from the Learnexus Roundtable

The future of training for pharmaceutical companies is evolving. New technologies like AI and VR have some teams rethinking their L&D strategies, while rapid innovations in personalized medicine and biotech are pushing companies to adapt more flexible training programs.

Learnexus assembled a group of senior learning and talent leaders from Merck, AbbVie, J&J, Bristol Myers Squibb, and others to explore these trends. The group discussed how to separate the hype from reality, the ways their teams are leveraging AI, and the most challenging questions they’re facing. Here are the top insights from the call:

Understanding What Is and Isn’t AI

AI isn’t entirely new, and it’s been embedded in organizations for years. Whether it is an AI-driven calling center, notetaker app, or machine learning model used by technical team, AI

  • AI-Driven Summaries and Quizzes: AI is being used to distil lengthy and complex training materials, such as Standard Operating Procedures (SOPs), into concise summaries and quizzes, aiding in quicker comprehension and retention.
  • Corporate Adoption of AI: There’s a marked difference in how organizations embrace AI; while some pharmaceutical companies mandate the use of AI tools for their teams, others are hesitant due to compliance concerns. This disparity underscores the varied pace at which AI is being integrated into the industry.
  • Efficiency and Time Savings: AI technologies are streamlining training processes, allowing learning teams to save valuable time and focus on creating more impactful training experiences.
  • Embedded AI in Organizations: AI’s integration is often subtle yet pervasive, from AI note-takers during meetings to machine learning models that enhance technical and sales operations.

By recognizing the importance of evolving customer service techniques and embracing emerging trends, businesses can provide next-level customer service experiences that exceed customer expectations. Assess your current customer service strategy and incorporate new techniques into your training programs to ensure your team is equipped to deliver outstanding customer experiences.

Moving forward, here are some things you can do to promote the use of AI within your organization.

  1. Foster AI Adoption: Influencing an organization to adopt AI starts at the leadership level. Encouraging education about AI’s benefits and ensuring compliance with internal regulations are crucial steps toward integration.
  2. Use AI for Personalized Learning: AI can function as a personal coach across various training domains, including sales, customer success, and diversity and inclusion, offering tailored feedback and interactive scenarios for learners.
  3. Give access to the right resources: Many professionals express a keen interest in learning about AI. Providing resources and training can help demystify AI and encourage its adoption across different teams. Here’s a good one on how to make GPT-3.5 Turbo act like GPT-4.

As these technologies continue to evolve and integrate into the training landscape, they promise to enhance the effectiveness, efficiency, and engagement of pharma training programs. However, this evolution will require thoughtful implementation, ongoing evaluation, and a commitment to balancing technological advancements with the intrinsic human aspects of learning and development.t-level customer service.