The future of work in healthcare: How AI Agents are redefining roles, not replacing them

Across every industry, AI Agents are increasingly transforming how work gets done. While no job can be fully automated today, every job—whether in software companies or hospital systems—is filled with tasks that can be. These task-level automations are already driving a step change in productivity, and healthcare is no exception.

Take Notable, for example. Within our own company, we’re seeing massive productivity gains. Our engineers use automated coding tools. Our marketing team writes and edits faster, combs through hours of customer conversations to surface insights, and accelerates market research. Sales uses AI to simulate calls, train more effectively, and research customer accounts in greater depth. Our customer success team can pull out of meeting transcripts a crystal-clear view of every customer interaction—helping them catch issues early, identify new opportunities, and drive customer value faster.

These examples aren’t unique to us. Every white-collar job in every enterprise is being reshaped. People are researching faster, analyzing more deeply, solving problems more creatively, and generating ideas more rapidly than ever before. 

As Bill Gates noted, AI-driven productivity unlocks the ability to make a strategic choice among three options: reduce costs by increasing efficiency, increase volume by serving more people, or improve quality by serving existing customers better. In healthcare, most organizations need to leverage productivity to do all three.

In this two-part series, we’ll discuss how AI Agents are transforming healthcare–starting with changing how people work (part one), and then diving into the tech that makes it happen (part two). Let’s take a closer look.

Every role in healthcare has tasks that can be automated

From front desk staff to revenue cycle teams, call centers to quality teams, no role in healthcare can be fully automated—but every role has components that can be. That’s what Notable has been focused on for nearly a decade: how to double workforce productivity at a fraction of the cost. 

For example:

In revenue cycle: Automate denials management, prior authorization submissions, chart reviews to support prior authorization submissions, payment workflows, and work queue cleanup, and more.

In patient access: Automatically transcribe faxed referrals and orders into the EHR, schedule appointments, and handle prior authorizations.

In value-based care: Identify care gaps, automate outreach, and coordinate follow-ups.

In contact centers: Deflect inbound inquiries across voice, text, chat, and in-basket messages—everything from scheduling to triage to medication refills.

In compliance and quality: Automate coding audits, chart review, and abstraction for registry submissions.

What this means for patients

Imagine a cancer patient named Maria. She’s anxious about her upcoming PET scan and chemo infusion. The week before her PET scan and chemo infusion, an AI Agent reaches out to her with information on how to prepare, and with education on the medications she’ll receive. The night before, an AI Agent texts her with a personalized message confirming her appointment, reminding her of fasting requirements, and offering a brief video that explains what to expect. She responds with a question about her medications—and within seconds, the Agent provides an answer aligned with her oncologist’s guidance. After her infusion, the agent checks in regularly, asking about side effects, and alerts the care team when Maria reports symptoms that may indicate an infection. Because of that early signal, her team intervenes—potentially avoiding an emergency room visit and keeping her treatment on track.

Or consider Jasmine, a working mom preparing for a colonoscopy. Historically, this would mean sifting through confusing paper instructions, stressing about whether she’s doing the prep right, and calling the clinic several times with questions. Instead, an AI Agent sends a step-by-step countdown via SMS: when to stop eating, how to mix the prep solution, and what to expect. It even checks in the night before to confirm she’s completed the prep and knows where to go. She arrives calm, prepped correctly, and with no delays—maximizing the chance of a successful, high-quality exam on the first try.

These aren’t theoretical improvements—they’re happening now. And they free up human staff to focus on the conversations and decisions that require empathy and expertise.

Agents are a force multiplier

AI Agents are not typical software — they’re an extension of your workforce, acting as force multipliers across every department:

Infinitely scalable workforce: Agents can handle any amount of repetitive tasks, no matter the volume.

Seamless system integration: They interact directly with existing systems—EHRs, HIEs, CRMs, billing platforms, and more.

Continuous improvement: Their performance can be monitored, retrained, and optimized in real time.

Agile and fast to deploy: Thanks to tools like Flow Builder, agent-powered workflows can be built, tested, and launched rapidly—no months-long implementations required.

And because AI Agents operate continuously and without human limitations, they enable businesses to dramatically increase operational efficiency while scaling far beyond what’s possible with manual labor alone. Complex workflows that once required teams of staff can now be automated end-to-end—running 24/7, without breaks, handoffs, or delays.

Toward a frictionless future

We’ve all come to accept a certain level of friction in healthcare. Long hold times. Delayed responses. Fragmentation and silos between departments. Confusing processes. A lack of follow-up.

That shouldn’t be normal.

We’re not ready for how different it will feel when the status quo is no longer the norm. When education and support are proactive. When outreach happens before every procedure and after every discharge. When patients can text an agent at 2 a.m. to schedule an appointment, in any language, at any literacy level—and get the care they need.

From the front lines to the back office, AI Agents are transforming how healthcare work gets done—automating the routine, scaling the impact of every team, and improving the patient experience along the way. But these gains aren’t possible without the right infrastructure. In Part 2, we’ll explore the technology behind this transformation—and how it’s enabling healthcare to move faster, smarter, and more seamlessly than ever before.

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