My AI Health Management System And Why It Could Work For You

I’d like to share a personal story about how technology is changing the way I manage my health, and how it might do the same for you.

For most of my life, I’ve lived in Colombia and Spain, places where I had ample medical coverage. I’ve never found myself in the situation I’m in now, as an expat in Mexico City with a very different medical system and insurance coverage.

Here’s the thing about healthcare in Mexico. It’s different. No insurance transfer from Colombia, and every specialist visit costs around $100–150 out of pocket. That adds up quickly, especially when you’re not sure if you actually need help or just have a few concerning symptoms. And while this might seem reasonable compared to healthcare costs in the US, it’s still a significant expense when you’re paying everything directly.

My journey into AI healthcare started with a pretty significant lower back injury. I followed the traditional route at first. I saw specialists who prescribed medications whose risks clearly outweighed the benefits (which I decided not to take). Several doctors and specialists suggested surgery when explaining my MRI results. They used terms like “degenerative disk disease” without properly explaining what that meant, leaving me confused and concerned about my options.

Since I was already working with AI tools, I wondered what Claude might say about my MRI and x-rays. Could it help explain my diagnosis? Would it agree with my doctors or offer a different perspective?

The AI noted differences in what it observed from my imaging results. It explained aspects of the diagnosis in a more sensible way than my doctors had. Seeing that this interpretation had substance behind it, I continued researching with Claude, co-designing a rehabilitation plan, and implementing lifestyle changes, even taking up swimming as a new sport.

After four months of limping, sciatic pain, and very restricted mobility, I became completely pain-free and able to re-engage in all my regular athletic activities. No surgery and no medications with severe side effects or potential for dependency.

I set the AI health system aside after that success, still going to doctors when needed and paying for fragmented care. Then I started getting styes in my eyes. Painful, persistent, and according to online forums, something I’d just have to live with forever. The specialist visits were frustrating. Each new doctor wanted my complete medical history, which I’d recite differently each time based on what I remembered that day. Nobody was getting the full picture.

None of them asked about my nutrition, supplements, allergies, or lifestyle. It was just, “You have styes, here’s a generic treatment, goodbye.”

I got tired of this piecemeal approach. The human body isn’t a collection of isolated parts. It’s a complex, interconnected system where everything affects everything else. So I decided to build something better.

I created a comprehensive health tracking system using Claude. I’ve experienced far fewer hallucinations with Claude than with ChatGPT, which is vital for this kind of system. While Claude has a more constrained context window, that limitation actually becomes a strength, it makes the system less prone to confusion and making up facts. It forces me to be clear and concise with what I upload. Plus, Claude is my default working tool, so I know how to handle it and trust it for this purpose.

My first step was building what I now call the “Foundation Layer”, a comprehensive health history. I recorded a detailed voice memo covering everything from childhood illnesses to recent health changes. But I didn’t just wing it. I asked Claude what information would be most valuable, and it provided a detailed questionnaire covering all the essential categories.

I called my mom to fill in the early years. I dug deep into my memory for every disease, condition, surgery, medication, antibiotic use, weight changes, physical activities, supplements, and mental health episodes. The voice memo ended up being over an hour long.

Claude processed it, identified gaps, asked follow-up questions, and created a comprehensive medical history that was more detailed than anything I’d ever had before. Now, when I see a specialist, I can show them exactly what they need to know. No omissions, no forgetting important details.

But the real value emerged when I implemented daily tracking. I created a simple morning and evening check-in routine that takes about five minutes each:

Each morning, I record:

• When I went to bed and woke up

• Sleep quality and any issues

• My physical state upon waking

• Mental health score with explanation

• Any specific concerns or symptoms

Each evening, I add:

• Medications taken

• Foods eaten

• Physical activity

• Mental state throughout the day

• Any changes in symptoms

For acute conditions, like the ankle sprain I’m currently recovering from, I take photos and upload them so the system can track visual changes over time.

The system is aware of my history with medical anxiety, so it has specific instructions on how to respond without triggering unnecessary worry. Unlike Google, which shows you the worst-case scenario for every symptom, my AI health system is measured, balanced, and contextual.

When I saw alarming bruising on my toes weeks after my ankle injury, I was concerned. But my AI health system explained that this was gravity-induced ecchymosis, a normal part of the healing process, and told me exactly what to expect in the coming days. That single insight saved me days of worry and a potentially unnecessary doctor visit.

What makes this system truly effective is the pattern recognition. At the end of each week, Claude analyzes all my daily updates and creates a comprehensive summary highlighting patterns, correlations, and insights that would be difficult to see manually. These weekly summaries feed into monthly reports that track longer-term trends.

I’ve expanded the system to include specialized modules for different aspects of my health. I took photos of every supplement I take, when I take them, and why. The AI evaluated my entire protocol, suggesting adjustments to timing and dosages based on my specific needs and medical history.

It doesn’t stop there. I uploaded my workout routine, and the AI created a complete year-long program with macrocycles and mesocycles, even writing it in Liftoscript so I could upload it directly to my workout tracking app. When I complete workouts, I screenshot the results and add them to my evening update.

With my therapist’s permission, I record our sessions and add summaries to the system, giving it even more context about my psychological state and patterns.

To manage the context window limitations, I’ve implemented a strategic archiving system. I ask for weekly summaries at the end of each week, and monthly summaries after four weeks. I keep the detailed updates in Google Drive but maintain a streamlined, current version in the AI project.

I’ve enjoyed a myriad of benefits I didn’t know were available to me:

• I can share my complete medical history with any doctor instantly

• I get feedback on concerning symptoms without waiting weeks for appointments

• I track patterns and correlations that would be difficult to see otherwise

• I’m more compliant with treatments because I have daily accountability

• I save money by avoiding unnecessary doctor visits

• I recover faster because I can implement evidence-based protocols promptly

This isn’t about replacing doctors. It’s about having a system that knows me completely, that can help me make better decisions about when I actually need to see a specialist, and that can help me implement the advice I get more effectively.

For someone with a history of medical anxiety like me, having this level of information and support has been transformative. I no longer spiral into worry when something feels off. I have a framework to process it, track it, and take appropriate action.

There is great potential here, especially for people without access to premium healthcare, those with complex conditions that conventional medicine struggles with, or anyone tired of the fragmented care that treats symptoms rather than whole people.

If you’d like to build your own AI health management system, I’ve created a comprehensive step by step guide that walks through the entire process step by step. From setting up your AI environment to creating specialized health modules, implementing daily tracking routines, and generating insights from your data.

To receive free access to this complete guide, simply write “AI health system” in the comments, and I’ll send you the password.

This system isn’t perfect, and it’s constantly evolving. But it’s already given me better health outcomes than I’ve had before.

This article: AIL 3 — Created using AI with extensive human structure and guidance

About the Author: Santiago helps individuals and organizations harness the power of AI without coding. Through AI opportunity assessments and personalized consulting, he guides clients in finding practical ways to implement AI solutions that transform how they work. Visit AISherpa.me to learn more about working together.