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Medtech training for 2027

Make training a commercial advantage.

For medtech commercial and clinical education leaders. Give commercial and clinical teams a place to practice before the first case, through learning experiences grounded in your approved materials, clinical evidence, and real-world workflows.

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Featured in MedTech Dive · Sponsored content

3 ways to make medtech training a strategic advantage in 2027

Apply AI responsibly, build on the materials you already own, and give teams more opportunities to practice.

MedTech Dive · Article

Sponsored content

3 ways to make medtech training a strategic advantage in 2027

As medical device manufacturers plan for 2027, commercial and clinical education leaders face a familiar challenge: where can they invest to support growth while making better use of existing resources?

Training deserves a closer look. Medical devices and the environments in which they’re used have grown more complex, creating a need for training models that extend beyond product knowledge and content delivery.

Nitin Jain, long-time Medtech commercial operator and current Chief Commercial Officer, explained:

“Companies are understandably eager to get product information into the hands of their teams. PowerPoints and learning management systems can support that goal, but product proficiency also requires real-world context. The training strategy needs to account for different scenarios, decisions and stakeholders.”

Providing real-world context in an efficient way remains a challenge. Medtech companies need to prepare sales representatives, clinical specialists and healthcare providers to confidently sell and use their devices, even when access to physical systems, cadavers, mannequins, and in-person training is limited or costly.

When designed strategically, training can support broader commercial goals while making better use of resources. Here are three ways medtech manufacturers can make this strategic shift in 2027.

1. Apply AI responsibly

AI creates an opportunity to personalize training in an environment where people enter learning with different levels of experience and needs.

“Role-playing is a particularly exciting use case for AI-enabled training. Companies can offer the tailored, responsive learning that normally comes with quarterly sales meetings, but without the expense of frequent travel,” said Jain. “That same flexibility can also be applied to HCPs, where AI training can give them the opportunity to practice when it fits their tight schedules and specific needs.”

But using AI strategically also means accounting for risks around accuracy, hallucinations and the potential to leak proprietary information.

“AI in training is a conversation that makes marketers and professional education teams most excited. But it can also make the CIO and IT leader hesitant,” Jain said. “We are in a heavily regulated industry, and creating training using general-purpose LLMs can introduce risk that quickly outweighs the potential benefits.”

One approach is to create a protected, source-grounded environment for AI-enabled training, using trusted materials such as instructions for use (IFUs) and clinical literature.

That approach also requires cross-functional review of the source material, clearly defined use cases, and technology designed to maintain legal, regulatory, and compliance guardrails.

2. Discover opportunities to repurpose

A common misconception is that creating modern training means rebuilding everything from scratch. In truth, manufacturers likely already have much of the information they need to make improvements.

“The opportunity is to build on what you already own and add the context and practice that learners need,” Jain said. “That might mean drawing from existing product decks, clinical content, instructions for use and published evidence, then designing interactive scenarios so that every decision point traces back to a trusted source.”

But repurposing is more than transferring existing materials into a new format. Companies can spend significant time re-creating training that misses the mark or introduces new risks. That’s where a partner with medtech, software and training expertise can work alongside internal teams to identify how to bring refreshed training to life efficiently and strategically.

In one example, a medtech company came to Monarch Learning Labs with a five-year-old training PowerPoint for an upcoming product launch. A gap analysis found that the deck covered the product well, but was missing the broader commercial context, including market dynamics, users and their needs, procedures and use cases. The analysis also revealed that Monarch could use the existing material as the foundation for applied, interactive commercial training, allowing the company to move from existing content to a new digital training experience in six weeks.

3. Build confidence through real-world practice

“Product and clinical knowledge provide an essential foundation, but readiness is built when learners have opportunities to actively apply what they know,” said Jain. “Practicing in an environment that’s as close as possible to the real world is what makes simulation such a powerful tool.”

Consider a scenario involving complex cardiovascular capital equipment training. Typically, a learner has access to a product guide that explains what to check when alarms start sounding or something goes wrong. AI-enabled simulation can take that training further by giving the learner opportunities to practice making decisions. For example, they might be required to interpret what’s happening, acknowledge the alarms, check system components and determine what to do next.

A surgical planning digital product twin offers another example of what practice can look like. In one Monarch Learning Labs project, more than 2,000 surgeons trained through a browser-based digital product twin, allowing them to practice the product workflow without waiting for access to the physical device.

Together, the examples demonstrate two different benefits of interactive, practice-based training. The cardiovascular scenario shows the depth and breadth of decision-making learners can practice, while the surgical planning digital product twin demonstrates how training can expand access while making practice repeatable and scalable.

Make training part of the 2027 commercial strategy

“One thing that I believe is so important with training is not to see it as something that is a requirement for what you need to do, but actually a core part of your commercialization or go-to-market strategy,” said Jain.

That shift means treating product knowledge as the starting point and giving sales representatives, field teams and healthcare providers opportunities to apply what they know. By connecting approved evidence and existing training materials with interactive, real-world practice, manufacturers can build readiness while making better use of every training dollar and hour.

As you plan for 2027, consider bringing Monarch Learning Labs one training challenge to see where incorporating active practice could strengthen your results.

Learn more about modernizing your approach to medtech training with Monarch Learning Labs.

Discuss your 2027 plan

2,000+ surgeons trained through a browser-based digital product twin

Monarch recreated a medical device company’s surgical planning workflow in a browser-based learning experience. Surgeons and clinical teams could practice without waiting for access to the physical system.

Three questions for your 2027 plan.

  1. 01

    Where would AI help your team practice?

    A conversation your team would rather not have cold, run as many times as they need. AI plays the clinician and coaches the reply, grounded in approved company materials, IFUs, and clinical literature.

  2. 02

    Which training materials can you reuse?

    The decks, IFUs, and published studies you already own become something a learner works inside. Here a clinician questions a claim, and the answer has to stay within what the trial actually supports.

  3. 03

    Will your team know what to do in the field?

    A digital product twin puts setup, sequence, and troubleshooting in front of the learner in a browser. An alarm sounds, and they decide what to do about it, as often as it takes.

monarch — simulations
Objection Handling
First Meeting 2 Probe 3 Apply
Dr. David Miller · Interventional Cardiologist Karen Osgood, RN · Charge Nurse, CT-ICU
Objective — Understand barriers to adoption
We've been using our current system for years. It's reliable, and my team is comfortable with it.
Choose your approach
Ask about workflow
Address concern directly
Probe setup efficiency
Type your response...
Coaching
Practice run 3 Not recorded
GoodYou showed empathy and professionalism.
Missed OpportunityDid not explore workflow bottlenecks. No differentiator offered.
Coaching is private to the learner. AI-generated responses may be incomplete — verify clinically before acting.

Built from what you already have.

Monarch adds the practice layer on top of your existing training, rather than asking you to start the library again. AI is one of the ways that practice runs — it is not the substance of it.

Your approved materials

Decks, IFUs, training guides, and internal curricula, used as the source rather than replaced.

Your clinical evidence

Published studies and claims, so practice stays inside what the data supports.

Your device workflows

The real sequence, the real interface, and the decisions that sit between the two.

Two clinical professionals reviewing medical images and device interfaces across multiple screens

Surgical education case study

Practice surgical planning before entering the OR.

How the digital twin was embedded across the curriculum, what changed for residents, experienced surgeons, and OR teams, and how the planning workflow became browser-based practice.

Read the full case study

Built by people who know MedTech.

Monarch combines learning technology with firsthand experience across medical device commercialization, clinical education, regulatory strategy, and sales enablement. That means less time explaining the realities of MedTech and more time building training that works within them.

  • Jeremy Kimmel, PhDChief Executive OfficerLinkedIn
  • Brent Wilburn, PhDChief Technology OfficerLinkedIn
  • Alison GerlachChief Commercial OfficerLinkedIn
  • Seth ZimmermanChief Financial OfficerLinkedIn

Plan with Monarch

What are you planning for 2027?

Bring one training challenge. We’ll discuss what you already have and where applied practice could help.

Prefer email? Write to hello@monarchlearninglabs.com and we’ll pick it up from there.

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