Agentic AI in Healthcare: The Future of Truly Personalized Care

Agentic AI in Healthcare: The Future of Truly Personalized Care

Guess what? It’s 2025, and change isn’t knocking; it’s tearing the door down. Innovation is everywhere.

Let’s imagine this!

It’s 7.00 AM. You haven’t even opened your eyes, but your digital health assistant already has. It has quietly reviewed your sleep quality, heart rate, and calendar. It noticed that you didn’t get enough REM sleep, nudged your alarm 15 minutes later, and pushed your coffee reminder by half an hour to reduce your cortisol spike. Surprisingly, it has also pinged your therapist, suggesting a quick check-in based on recent mood patterns. And your migraine meds are running low, so it has already placed a refill request.

This isn’t science fiction. It’s not five years away. This is the beginning of Generative AI solutions and Agentic AI in healthcare – a paradigm shift from AI as a passive assistant to an active, intelligent, decision-making agent that thinks, plans, and acts on your behalf.

For decades, we’ve talked about “personalized care.” But how personalized can care be when a doctor has only 15 minutes with you, once every few months? When your health data sits in silos, and your care plan forgets you exist the moment you step out of a hospital?

Agentic AI changes all that. It promises a future where healthcare isn’t something you chase, it’s something that lives with you, grows with you and learns you.

Let’s dive in and understand how this new generation of AI is reshaping the very idea of care.

What Is Agentic AI (And Why Is It a Big Deal)?

Unlike traditional AI models that are reactive, Agentic AI is proactive. It’s like the difference between asking Google for direction and having a personal chauffeur who knows your routine, preferences, shortcuts, and traffic patterns and just gets you where you need to be before you even ask.

In short, Agentic AI:

-       Perceives its environment (your data, sensors, records)

-       Understands goals and context (both short and long-term)

-       Makes decisions autonomously

-       Plans actions across time

And in healthcare, this means you get a partner, not just a tool.

Why Healthcare Needs Agentic AI

Healthcare is indeed one of the most complex, high-stakes, and deeply personal industries we have. And yet, the system often feels cold, disconnected, and rushed. Here is why:

-       Doctors have limited time (average visit: 13-18 minutes)

-       Preventive care is still rare; most care is reactive

-       Medical records are fragmented across providers

-       AI is often used in silos

What if you had an AI that understood your entire health story – not just the data, but your habits, goals, triggers, moods, and preferences? That’s where agentic systems shine.

1.     Agentic AI as Your Chronic Illness Coach

Let’s consider the use case “Diabetes Management”. Diabetes isn’t just about sugar levels – it’s a daily dance of food, movement, medication, stress, and sleep.

An AI agent can:

-       Continuously analyze data from wearables, CGMs, and apps.

-       Spot trends (like rising glucose every Monday after weekend bingeing)

-       Communicate with your doctor if your readings stay high for too long

-       Suggest personalized adjustments – like a protein-rich breakfast or an afternoon walk

-       Auto-order supplies before you run out

According to the International Diabetes Federation, more than 537 million adults worldwide are currently living with diabetes. This trend shows no signs of abating.

Tidepool Loop, an automated insulin dosing application, analyzes patterns and modifies insulin delivery accordingly. This represents a small step towards the type of agentic intelligence that could soon oversee not only your insulin management but also your entire lifestyle in a harmonious manner.

2. Agentic AI as Your Healthcare Navigator

Navigating Cancer Treatment? Easy with Agentic AI!

Receiving a cancer diagnosis can be an overwhelming experience. The multitude of appointments, treatment alternatives, second opinions, lab results, and insurance approvals creates an emotional and logistical whirlwind.

An agentic health assistant could:

• Simplify your diagnosis using straightforward language

• Organize and prioritize appointments with various specialists

• Recommend questions to pose to your oncologist

• Monitor your symptoms and side effects on a daily basis

• Notify you about clinical trials that align with your genomic profile

Jasper Health is already assisting cancer patients in tracking their journey and maintaining organization. With agentic AI, envision a system that adapts to your emotional and physical needs—ensuring that your care remains genuinely centered on the human experience.

3. Agentic AI for Mental Health & Lifestyle Nudging

Now envision this scenario: you have experienced a stressful week. Your smartwatch indicates an increased heart rate variability (HRV), you have missed your workouts, and your tone in messages suggests irritability.

Your AI gently recommends a 10-minute breathing exercise, reschedules a Zoom meeting, and provides a brief cognitive behavioral therapy (CBT) prompt. It reminds you of how much better you felt the last time you took a walk in nature. It may even send a subtle alert to your therapist if a pattern of depression begins to surface.

The World Health Organization reports that 1 in 8 individuals worldwide are affected by a mental health condition. Access to necessary care continues to be limited. However, imagine if such care were as readily available as your mobile phone?

This represents a new dimension of personalized wellness—not generic, but tailored specifically to you, every hour of every day.

4. Agentic AI for Precision Preventive Screening

Most health screenings adhere to conventional guidelines: mammograms after the age of 40, colonoscopies after 50, and so forth.

Agentic AI has the potential to change that.

It could suggest:

• Earlier screenings for a 32-year-old with a BRCA1 gene mutation

• More frequent cardiovascular evaluations for a night shift employee suffering from sleep apnea

• Customized lung screenings for individuals residing in areas with high pollution levels, irrespective of their smoking history

Tools such as Color Genomics already offer DNA-based health risk assessments. Incorporate an AI that utilizes this information, and you will have a health companion that is ten steps ahead.

What Fuels Agentic AI?

Several technologies work behind the scenes to make this innovation feasible:

Multimodal Data Fusion: Integrating information from electronic health records, wearable devices, genomics, voice data, etc.

Long-term Memory: Enabling it to retain your history and preferences over time

Language Models (such as GPT): Facilitating natural communication and elucidating decision

Task Planning Engines: Organizing multiple processes (appointments, medications, tests)

Human-in-the-loop Design: Ensuring that critical decisions are still evaluated by human beings

But Hold On - What About Trust, Privacy & Bias?

Indeed. These are significant questions. Let us address them.

Transparency

When an AI modifies your dosage or schedules a test, you have the right to understand the reasoning behind it. Explainable AI (XAI) is dedicated to ensuring that these systems communicate with humans in understandable terms.

Privacy

Health information is invaluable. Future-oriented agentic systems must utilize encrypted, on-device models, federated learning, and zero-trust architecture. Consider privacy as a fundamental principle.

Equity

If AI is developed solely on a specific demographic, it neglects everyone else. Varied datasets, inclusive design, and ongoing bias monitoring are essential.

Who Is Already Developing This?

Google DeepMind’s Med-PaLM 2: Advancing clinical reasoning capabilities

Nabla Copilot: Assisting physicians with real-time, AI-enhanced EHR management

OpenAI Agents + Memory: Already establishing the groundwork for persistent digital assistants

Startups such as Hippocratic AI: Concentrating on safety-first health agents

According to CB Insights, more than $17 billion was invested in AI-driven healthcare startups within just two years (2022–2024). The competition is intensifying.

The Future: A Partnership, Not a Tool

With Agentic AI, the landscape of healthcare transforms.

• From visit-based care → continuous care

• From reactive alerts → proactive coaching

• From generalized advice → highly personalized support

• From isolated tools → integrated, intelligent ecosystems

You will not have to monitor your own health. Your agent will assist you in this process, while keeping you informed.

Healthcare will no longer resemble a labyrinth. It will feel like a journey—with a guide.

Concluding Remarks: The Human Aspect of Agentic AI

The reality is that Agentic AI transcends mere efficiency in healthcare. It aims to enhance the human experience. Ultimately, personalization is not merely a technological attribute, it is a fundamental human requirement.

By developing these agents with empathy, transparency, and ethical considerations, we can transform not only medicine but also lives.

"The future does not involve AI taking over the role of doctors. Instead, it envisions AI collaborating with every patient, equipped with memory, intelligence, and compassion."

The era of Agentic AI in healthcare has arrived. Let us ensure it is impactful.

Ketan Patel, MD

Physician / Investor: Pain Management, Longevity, Point-of-Care Diagnostics, Clinical AI, FinTech/Digital Banking

2w

Indium appreciate this great summary. What evidence or indicator is there that patients actually want this?

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