Leaders don’t struggle with healthcare technology adoption because the tools fall short. The real challenge shows up earlier, when disruption is treated as unavoidable, and existing systems are designed around that assumption.
I’ve spent more than two decades leading organizations through change: new operating models, technological advancements, new regulations, and new expectations. And if there’s one belief I’ve learned to challenge, it’s that modernizing healthcare operations has to come at the expense of performance, stability, or trust.
It doesn’t.
In fact, the most successful digital transformations I’ve been part of had something in common: they reduced disruption by increasing rigor.
Let me explain.
The moments that changed my thinking about "impossible" transitions
In early 2020, I was leading an organization with roughly 1,600 employees. Like many healthcare-adjacent companies at the time, we were deeply operational, heavily regulated, and built for in-person work.
Ten people had remote access.
Ten.
Within weeks, we had to move all 1,600 employees fully remote, without interrupting service to our clients, without compromising data security, and without lowering performance.
On paper, it sounded reckless, even impossible.
In practice, it turned out to be one of the least disruptive transitions we’ve ever made. It's not because we were lucky or that we were unusually tech-forward. We excelled because we had already built the habits that allow organizations to embrace new technology without destabilizing performance.
Change isn't as risky as standing still
When leaders talk about technology adoption in healthcare, the conversation often centers on risk:
- “We can’t afford downtime.”
- “We don’t have time to design a new training program and then retrain people.”
- “What if productivity drops?”
- “What if our experts resist it?”
Those fears are understandable. Healthcare operations are unforgiving. Mistakes are costly, and trust is fragile because member care depends on consistent execution.
But here’s the uncomfortable truth I’ve learned, first in healthcare and earlier in my career working with global organizations during periods of economic stagnation. The long-term risk of not modernizing is always greater than the risk of avoiding change for the sake of stability.
Organizations that delay change may think they are preserving stability, but they’re actually quietly accumulating fragility. Eventually, someone else figures out how to do the same work faster, better, or more intelligently. And that’s when disruption actually arrives.
Why most healthcare tech implementations feel disruptive
Over the years, I’ve seen plenty of technology rollouts stumble, not because the tools were bad, but because leaders misunderstood what people were reacting to.
From what I’ve seen, most resistance isn’t fear of technology, but the fear of loss, be it competence, control, or relevance in a real-world operating environment.
When leaders respond by selling a grand vision—“This will change everything!”—they unintentionally make that fear worse. After all, 41% of health plan executives cite job displacement as one of the key hesitations to adopting AI.
What works instead is something far less dramatic.
Start small. Prove it. Then scale.
Every successful transformation I’ve led started with a proof of concept so small it was almost boring. The best early pilots create internal success stories that convince skeptics before it impresses executives.
A proof of concept does three things at once:
- It makes change tangible
- It replaces promises with evidence
- It creates internal advocates
When we introduced automation into analyst workflows—work historically done entirely by hand—there was understandable concern. People worried the technology would make their roles less valuable.
So, we didn’t start with rhetoric. We focused on reducing errors and improving the parts of the workflow that created daily friction.
We automated the least interesting parts of the job, including transcription, note-taking, and repetitive system updates. Then we measured what happened. What we found surprised no one who actually does the work.
Quality improved. Accuracy improved. And analysts spent more time doing the work that required judgment, like educating members, navigating complex recovery scenarios, and improving patient engagement outcomes. They stopped fearing technology as a disruptor that would replace their jobs and saw it as something that elevated their daily practice.
Rigor beats change management theater
One of the quiet advantages we had going into a fully remote environment in 2020 was operational discipline. We already measured performance rigorously. We already held leaders accountable to outcomes. We already believed that data—not anecdotes—should drive decisions.
So, when we moved from weekly and monthly reviews to daily key performance indicators (KPIs) with our leaders, it was a natural extension of how we worked. We shifted into daily stand-ups to collaborate and communicate more effectively. Clear metrics—refreshed daily—created real time feedback loops, letting us learn quickly and scale.
This matters more than most leaders realize.
According to McKinsey, nearly 70% of digital transformations fail, often due to lack of operational alignment and insufficient follow-through, not technology limitations. Technology cannot create discipline on its own, but when operational discipline exists, it can play a pivotal role in performance improvement.
Healthcare technology adoption improved our performance
Here’s the metric leaders care about most: did performance suffer? It didn’t.
In fact, when we compared productivity before and after the transition from on-prem to fully remote, the organization performed slightly better in a fully remote environment.
The margin wasn’t dramatic, but the meaning was. It reinforced that performance and patient outcomes are driven by clarity, trust, and accountability rather than proximity.
And once people realized that leadership was measuring outcomes, not attendance, something else happened: engagement increased.
People wanted to prove the model could work. So they did.
What healthcare leaders get wrong about disruption
Too often, disruption is treated as an unavoidable side effect of progress. I think that’s backwards.
Disruption is usually a signal that leaders tried to scale belief before earning trust. Impressive pilots may wow executives, but if the boots on the ground are skeptical, it won’t go anywhere. They need to be convinced before they change what’s worked consistently for them.
The organizations that modernize smoothly tend to do a few things differently:
- They test before they tell
- They measure before they mandate
- They remove friction before adding ambition
This is especially important as healthcare enters an era saturated with AI promises.
Modernization is an operational strategy
One of the mistakes I see most often is treating modernization as a technology initiative while ignoring its role in operations.
Technology is an input, and outcomes are the output. Operations are what convert one into the other to improve efficiency.
In recovery-focused healthcare operations, for example, missing 20% of recoverable opportunities isn’t usually a data problem, as signals often already exist in electronic health records.
More often, the breakdown occurs in process, prioritization, and follow-through. Similarly, failing to maximize outcomes on identified cases is seldom about the absence of tools. It reflects gaps in expertise, timing, governance, and execution discipline.
That is why modernization is, at its core, an operational function. Technology can surface opportunities, but operations determine whether teams act on those opportunities consistently and effectively.
How to adopt new technology seamlessly
Most of the time, leaders ask “How do we adopt this technology without disruption?” It’s a fair question, as disruption in healthcare has far-reaching financial consequences and limits potential cost savings.
Instead, I encourage leaders to ask, “What discipline do we need to strengthen so this technology can actually help us?”
If the answer includes clearer metrics, faster feedback, or stronger trust reinforced through ongoing support, start there.
Technology is coming no matter what. The best way to avoid disruption is to strengthen your teams ahead of its arrival.
The paradox of change in healthcare
I’ve seen a paradox play out repeatedly. The organizations most afraid of disruption are often the ones best positioned to modernize successfully, because they already care deeply about outcomes.
When leaders respect the work, respect the people doing it, and respect the data enough to let it challenge their assumptions, change stops feeling like risk and starts feeling like progress.
And in healthcare, where complexity isn’t going away, that shift in mindset may be the most important innovation of all.
Machinify partners with healthcare payers to modernize their technology so that every claim is paid right the first time, on time, every time. To learn how to get it right the first time, follow our series.
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