What Actually Works in MedTech, According to Industry Leaders

Ben Trombold

Published on: April 1st, 2026

MedTech Spotlight Live MedTech Conference 2025 (1)

At last year’s MedTech Conference in San Diego, Orthogonal hosted MedTech Spotlight Live, a series of short, unscripted interviews with people on the front lines of healthcare innovation. These weren’t rehearsed demos or pitch-deck walkthroughs. They were candid conversations with founders, engineers, clinicians, and regulatory leaders sharing what they’ve learned, often the hard way, about making digital health solutions work in clinical settings.

You can view all the interviews from this series below:

Clinical Workflow Is the Battleground for Adoption

The best products don’t ask clinicians to change behavior. They meet them where they already work.

Teams are gaining traction by embedding functionality directly into imaging platforms, point-of-care systems, or PACS viewers. A recurring pattern: when a radiologist or physician pauses on an image or hesitates over a decision, these tools offer instant, actionable insights, often with just one click.

No extra logins. No new windows. No new training.

It’s not just about delivering value. It’s about delivering it in context.

Dense Data Requires New Visibility Tools

Several innovators focused on making hidden information visible, particularly in imaging scenarios such as breast, liver, and lung diagnostics, where dense tissue can obscure pathology.

These teams aren’t building new scanners. They’re using algorithms to surface information that’s already present in the image, but not reliably visible to the human eye. In one case, clinicians can verify treatment targeting immediately after delivery, rather than waiting months for tumor response. In another, mathematical overlays help radiologists distinguish subtle lesions that would otherwise blend into dense tissue.

Precision isn’t just about better tools. It’s about better timing.

AI Is Entering a Post-Hype Phase

AI came up in every interview, but not as a headline, and not for novelty’s sake.

Instead of chasing generative bells and whistles, successful teams are focused on what actually works:

Starting with deterministic algorithms for transparency and control
Using AI to improve segmentation, prediction, or longitudinal tracking
Prioritizing explainability and documentation to meet regulatory needs
Keeping the scope narrow to avoid model drift and simplify validation

AI isn’t the differentiator anymore. What matters is whether it holds up clinically, operationally, and legally.

Regulatory Success Starts Long Before Submission

Teams that are moving quickly through regulatory pathways aren’t just regulatory ready. They’re regulatory fluent.

That means:

Scoping features to match current risk classifications
Aligning early with regulators on study design and endpoints
Building traceability into development workflows from the beginning
Using real-world imaging or patient data to inform labeling strategies

Some of these choices led to early designations. Others prevented costly rework that could have added more than a year to the timeline.

Speed isn’t about skipping steps. It’s about doing them in the right order.

Narrow Scope, Fast Results

Multiple leaders described an intentional decision to focus their product narrowly, on one modality, one procedure, or one clinical segment.
This constraint wasn’t a limitation. It was a lever.

By focusing, they could:

Demonstrate clinical impact with smaller trials
Reduce software and integration complexity
Launch with minimal training or disruption

Platform thinking can come later. To achieve early-stage success, teams win by solving a single, specific clinical problem with extreme clarity.

Soft Skills, Hard Outcomes

Emotional intelligence, including how teams communicate, build trust, and manage ambiguity, came up repeatedly across the interviews.

In product design, that means centering human factors and patient experience, not just functionality. In company-building, it means hiring for curiosity, adaptability, and collaboration, not just credentials.

The ability to stay calm in times of uncertainty and solve problems collaboratively is becoming just as important as technical skills. Teams that invest in these “soft” skills are delivering harder, faster outcomes.

Final Takeaway: Execution Is the Edge

Innovation is the expectation. The edge comes from how well you execute.

Across all eight conversations, the most successful teams were:

Delivering insights inside existing clinical workflows and not around them
Treating AI as infrastructure, not identity
Building regulatory pathways into product design from day one
Choosing narrow scopes to show fast, measurable value
Putting human experience at the center of their technology and their culture

These aren’t visionary promises. They’re practical moves. And they’re what’s separating momentum from noise in MedTech right now.

Looking to accelerate your FDA-compliant digital ecosystem development by 2-3x?

For 15 years, we’ve partnered with dozens of clients, including Medtronic, Johnson & Johnson, Google, Novo Nordisk, Tandem Diabetes Care, Transmedics, Oura, Eli Lilly, and others to build SaMD and connected device solutions. This work has consistently shortened product development life cycles, improved delivery predictability, and created engaging user experiences.

Schedule Your Call Now