Why HealthTech Adoption Still Fails Today?

Most people think healthcare is slow because it has to be.

It doesn’t.

What you just heard is what happens when someone decides to redesign the entire pathway

Not just build another tool.

Because here’s the truth most founders don’t want to admit:

👉 It’s not your technology that’s failing
👉 It’s 𝘸𝘩𝘦𝘳𝘦 and 𝘩𝘰𝘸 it shows up in the system

In this episode, 𝐃𝐫. 𝐉𝐨𝐡𝐧 𝐒𝐡𝐨𝐰𝐚𝐥𝐭𝐞𝐫, COO of Linus Health, breaks down what it actually takes to move.

From innovation to real-world adoption

Especially in a space like dementia, where timing changes everything.

From collapsing diagnosis timelines

To retraining the workforce

To tackling the stigma patients don’t talk about

This conversation goes beyond AI hype and into what actually works.

And if you’re building in healthcare right now, this is the part you can’t afford to ignore.

What You’ll Learn:

💡 Why 92% of cognitive impairment cases go undiagnosed and what that means for your business model
💡 How to reduce a 1.5-year diagnosis journey into just a few days
💡 Why speed to diagnosis is becoming the new competitive advantage in healthcare
💡 How combining AI, biomarkers, and care pathways creates true ecosystem value
💡 The real reason patients resist diagnosis and how that impacts adoption
💡 Why workforce scalability (not just product) determines your growth ceiling
💡 How to apply diffusion of innovation + behavioral psychology to drive real usage
💡 The different paths clinicians can take: builder, advisor, or investor and how to get started

Related Episodes You’ll Love

If Patients Can’t Reach You, It’s Not Innovation – This episode breaks down how access, instead of technology, is the real bottleneck in healthcare, directly aligning with John’s point that speed and entry point into care determine outcomes.

Why Your Healthcare Tech Solution Fails After Enrollment – Focuses on what happens after initial traction—why solutions fail to stick due to poor workflow integration and user behavior gaps, mirroring the adoption challenges discussed in this interview.

How to Build AI Clinicians Trust and Teams Stick – Explores how AI solutions succeed only when clinicians trust them and teams actually use them—directly tied to John’s emphasis on behavior, workforce enablement, and real-world implementation.

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