We’ve entered an exciting new chapter in the world of artificial intelligence: one where AI doesn’t just think, it acts. And the name for this next-level evolution? Agentic AI.
You may have already seen this term pop up on social media or in tech articles. For those working in medicine, it’s probably mentioned alongside bold predictions that AI will soon take over tasks like charting, scheduling, and even managing patient messages. But what exactly is agentic AI, and should we be worried, excited, or both?
Let’s break it down.
So, What Is Agentic AI?
Traditional AI systems, like those that help you autocomplete a sentence or generate a lab report summary, are reactive. They respond when asked. You give them input, they give you output. Nothing more, nothing less.
Agentic AI, on the other hand, is proactive. It’s designed to carry out tasks independently, often across multiple steps and systems, with minimal (or even no) human prompting once it’s been trained or instructed. These AI “agents” can:
- Draft and send messages to patients
- Monitor charts and lab results to flag issues
- Schedule follow-ups and coordinate care logistics
- Submit prior authorizations
- Even chase down missing data from other systems
Think of it as the difference between asking Siri for directions versus giving a digital assistant your day’s agenda, and then having it arrange your schedule, book your ride, and message your appointments for you.
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Why This Matters in Healthcare
Let’s face it: modern healthcare is filled with tasks that require effort, but not necessarily a medical degree.
Physicians spend enormous amounts of time on administrative work, including prior auths, documentation, refills, inbox triage., and more Many of these tasks are vital, but they’re also repetitive and time-consuming. They drain the very people whose time and energy are best spent on complex decision-making and direct patient care.
This is where agentic AI comes in.
By taking over the low-complexity, high-frequency tasks, AI agents can free up clinicians to focus on what only humans can do: exercising nuanced clinical judgment, listening to the subtleties in a patient’s story, and building trust.
But… Not So Fast
While there’s good reason to be excited, we need to approach this moment with a healthy dose of caution; especially in healthcare.
For example: prior authorizations. On the surface, having AI handle them sounds like a dream. But the system itself is flawed. Ii’s built on an assumption that doctors might make frivolous decisions, and it requires us to “prove” ourselves before helping patients. Having an AI simply speed up that flawed process doesn’t fix the root issue. It just puts a Band-Aid on a broken limb.
So while agentic AI can help, it won’t solve everything. If we’re not careful, we risk automating dysfunction instead of reforming it.
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What Happens Next?
The best path forward lies in partnership – between clinicians, patients, and technologists.
Agentic AI has the potential to transform how we practice medicine. But it must be designed with input from the people who actually practice medicine. It must be tested not just for accuracy, but for empathy, ethics, and equity. It must support, not replace, the human connection at the core of healthcare.
If done well, we may finally get to practice the kind of medicine we all envisioned: with more listening, more learning, and less time clicking boxes.
The Future is “Coming”
Agentic AI isn’t just a tech trend. It’s a glimpse of a future where our digital tools can do more than process data – they can help carry the load. But as with anything powerful, how we use it will matter far more than the tool itself.
Are we ready to build it thoughtfully? And what tasks would you gladly hand off to an agent?
Agentic AI has the potential to transform how we practice medicine. But it must be designed with input from the people who actually practice medicine.
