Five steps healthcare IT leaders can take to 10x productivity

In 2025, 65% of healthcare executives identified “developing growth strategies to increase revenue” as a priority, making it a top action for the industry this year. However, many healthcare leaders face limited resources and increasing pressure to do more with less, making this priority feel like an impossible task. 

Forward-thinking healthcare IT leaders and technical decision-makers have found a way to multiply their impact and drive strategic transformation with technology: through the use of AI Agents. 

Ryan Pfeffer, Head of Engineering at Notable, and Tom Alterman, Head of Product at Notable, share a step-by-step approach that IT leaders can follow to transform IT from support teams to innovation leaders using AI Agent workflows on Notable’s next-generation Flow Builder platform. 

Why healthcare IT leaders are turning to AI Agents

AI Agents are transforming the way we approach healthcare workflows, using automation to pursue goals and complete tasks on behalf of their users. 

“The best mindset to have around AI Agents is to think less of them as software, and more as an infinitely scalable workforce that can earnestly follow all of your instructions,” said Tom Alterman.

Unlike traditional automation tools or basic RPA solutions, modern AI Agents offer healthcare IT leaders capabilities that were previously impossible:

• Adapting to variations in workflows and data formats with minimal reconfiguration
• Making context-aware decisions based on available patient and system information
• Learning from outcomes to continuously improve performance without manual tuning
• Handling exceptions by following established protocols rather than simply failing
• Operating across multiple healthcare systems with native integration capabilities

Finding a strategic partner

However, utilizing an effective AI Agent platform relies on having the right strategic transformation partner to implement them seamlessly. Your AI Agents shouldn’t disrupt your current operations — they should supercharge them. 

As healthcare professionals look to implement AI Agents, they may need to address a few common risks. The best AI Agent platform will mitigate these risks, allowing you to feel confident in your decision as it:

• Ensures control and visibility over automated tasks
• Provides assurance against AI-driven errors or inaccuracies, like hallucinations
• Integrates into your current systems without disrupting your existing workflows
• Handles sensitive patient data securely, remaining compliant from start to finish

Five steps to increase your healthcare IT team’s productivity

All of this sounds amazing, right? But once you realize you want to use AI Agents, how do you actually get started?

1. Align with your business on strategic priorities.

Work with leadership to clarify the objectives that matter most and help achieve your business goals. Some of the most common objectives Notable’s partners identify are lowering costs, driving revenue growth, or reducing open FTE positions. ‍

2. Create benchmarks to establish performance baselines.

‍Measure your current accuracy, speed, and effectiveness of the tasks you’ll be automating to establish clear performance baselines. Remember, when implementing AI you shouldn’t compare the AI’s performance to 100% — you should compare it to current performance to see how it’s improving your current operations. ‍

‍3. Start small and execute on your strategic priorities.

‍Start small with the agents you’re implementing, validate their effectiveness, and then incrementally expand the agents on your platform. 

MIT Health used Flow Builder to rapidly prototype solutions without traditional development cycles, starting with specific departmental needs before scaling. Brian Schuetz, Executive Director at MIT Health, shared, "Flow Builder puts automation at our fingertips by offering a sandbox to leverage our EHR data integrations like APIs and HL7, coupled with AI and ML tools like LLMs and OCR, providing endless opportunities for innovation and process automation." This approach allowed Brian and his team to address previously unaddressed use cases and scale solutions across departments with minimal additional work.

4. Continuously improve with ongoing visibility and insight-driven adjustments.

‍Once your AI Agents are live, it’s important to pay attention to the data to see if adjustments need to be made. Your AI Agent platform should help you:

1. Quickly find the problem when something goes wrong. Breaking a workflow into smaller tasks and creating chains of LLMs will help make your AI Agents more successful. They do well with small, granular tasks rather than data overload.
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2. Verify that the right thing happened, when you wanted it to happen. When you start chaining together LLMs, you can ensure the quality of outputs along the way.
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3. Run batch tests against changes to ensure you aren’t causing any regressions before publishing your updated flows.
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4. Keep an eye on your analytics dashboard to run through milestones, seeing how you performed against your benchmarks. With a good dashboard, you can keep an eye on any changes, dips, or other unexpected results so you can quickly catch and address problems.

MUSC Health uses Flow Builder to automate intake and registration, meeting patients where they are. However, they didn’t simply adopt the technology and then leave it. “We’ve had an extremely positive response from patients to our digital intake and registration experience,” said Crystal Broj, Chief Digital Transformation Officer at MUSC. “Based on patient feedback, we continue to make changes and updates to the workflow to make the experience as frictionless as possible.”

5. Celebrate the success with live reporting on outcomes.‍

Share your wins, not just with leadership but also with wider staff in your organization. This allows them to share in the excitement and see the possibilities that AI presents, helping to move the needle forward for technological innovation in your organization. 

Your IT team is productive and efficient when it has the tools and resources to make changes and decisions with ease. 

“At Notable, we’ve been successful for the better part of a decade, and we’ll continue to be successful in the future because we’re putting you in control, we’re giving you total visibility, and you can change things with confidence,” said Ryan Pfeffer. 

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Interested in learning more about how AI Agents can help transform your healthcare IT? Book a demo here. 

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