Deep Dive: AI's missing link in healthcare

With AI making a push into healthcare, we found a very cool platform called Spike Health 360° (B2B), which embodies this shift quite nicely. Let’s take a deep dive!

Sadie wakes up at 6:42 a.m. and stares at her phone.

Her running app says she’s “ready to train.”
Her smartwatch warns that her recovery is low.
A nutrition tracker shows she’s been under-eating protein all week.
And a PDF from last month’s blood test is still sitting unread in her email.

She types into a new AI health assistant:

“Should I work out today?”

The AI hesitates—not literally, but technically. To answer well, it would need to understand all of those signals together: sleep, heart rate variability, food, labs, training load. Yet each piece lives in a different universe, speaking a different language.

This is the quiet problem at the center of the new AI-health boom.

Last month, the biggest names in technology rushed into the same space. OpenAI introduced ChatGPT Health, Anthropic released Claude for Healthcare, Amazon embedded AI into One Medical, and Google unveiled new medical models for imaging and clinical speech.

The message was impossible to miss:
AI is moving from general chat to personal health copilots.

But there’s a gap between impressive demos and real usefulness. An AI can sound confident while knowing almost nothing about you. Without access to your actual health data, it can only offer generic wellness advice—the digital equivalent of a magazine article.

That gap is what Spike Health 360° is trying to close.

Spike isn’t another health app asking you to track more things. Functioning as an API, it’s more like the plumbing system beneath health apps—a layer that connects scattered data so other tools and AIs can make sense of it.

Right now your health life is fragmented:

Each system was built in isolation. So even simple questions like “Why am I tired?” or “Is my diet supporting my training?” require pulling pieces from everywhere, because each app and device only gets a piece of the puzzle.

Spike Health 360° creates a single, unified view. It gathers information from wearables, medical IoT devices, nutrition platforms, and lab reports, then translates them into a common language that apps and AI models can understand.

Think of it as turning a box of mismatched puzzle pieces into one picture.

Health data is messy in ways most people never see.

One smartwatch records sleep in minutes, another in stages.
Heart rate variability is calculated differently across brands.
Lab results arrive as unstructured documents full of medical shorthand.

Before any AI can reason about your health, someone must:

This work is unglamorous, expensive, but essential. Spike was built specifically to do it so individual app developers don’t have to reinvent the process again and again.

Once data is unified, Spike adds a layer designed for modern language models. Instead of an AI guessing from general knowledge, it can analyze your patterns:

Now Sadie’s question, “Should I work out today?” becomes answerable in context:

“Your sleep was short and HRV is below your baseline. Combined with low iron from last month’s labs and high training load this week, a light recovery session would be better than intervals.”

That kind of response isn’t magic; it’s simply data made coherent.

Now, Spike is not a consumer health app or an AI tool. It doesn’t interact with patients directly. It functions as a health data API that works behind the scenes for:

The goal is to let those products focus on experience and care rather than the nightmare of data integration.

Some early users already report tangible changes: 15% higher engagement when wearables are connected, 40% fewer support headaches, and faster development of new features. The benefits show up not as flashy gadgets but as smoother, more coherent digital health experiences.

As the CEO of an AI wearable company called Pulsetto said, “Spike enabled us to support the wearables our users already have. We can focus on perfecting our vagus nerve stimulation technology while Spike handles the complexity.”

Healthcare today is episodic: a doctor visit here, a device there, an app somewhere else. But our bodies don’t live in episodes. They live in patterns.

If AI is going to help with:

…then it needs to see those patterns across everyday life. That requires a foundation most of us will never notice.

Spike Health 360° is one attempt to build that foundation on the business end.

Imagine Sadie opens her health app a year from now. Instead of juggling five dashboards, she sees one conversation:

“Your energy dip aligns with reduced sleep and lower protein intake. Labs suggest mild iron deficiency. A rest day plus iron-rich meals could help more than a hard run.”

The AI isn’t replacing doctors. It’s helping a person understand her own data before confusion turns into worry—or before small issues become big ones.

That future depends less on clever chatbots than on quiet systems that connect the dots. Spike Health 360° is one of those systems, working out of sight so the next generation of health tools can finally see the whole human.

Book a demo today to see Spike Health 360° in action —>

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.