New partnership to enable real-time access, multimodal patient data for AI developers and researchers

When data flows freely and smartly, healthcare starts to feel a little more like magic and a lot less like paperwork. That's the idea behind the new handshake between Eden Prairie, Minnesota-based OneMedNet, the real-world data powerhouse, and New York-based Protege, the go-to platform for AI training datasets. Together, they're pulling the curtain back on what real-time, multimodal patient data can do when put in the right hands.

In plain speak? They're giving AI builders the good stuff — clean, deep, diverse medical data — on demand.

Aaron Green, CEO of OneMedNet, puts it plainly: "Together, we are setting a new standard for data quality, diversity, and real-time accessibility."

How will it work?

The nuts and bolts are simple enough but powerful in execution. Here's the gist:

  • OneMedNet brings the data muscle — real-time, longitudinal patient records from over 1,400 healthcare sites.
  • These records go way beyond your average EHR. We're talking imaging, ECGs, EEGs, and more — true multimodal data.
  • Protege acts as the bridge, offering a sleek and compliant way for AI devs to access all that juicy, structured info.

Bobby Samuels, CEO of Protege, summed it up nicely: "The depth and breadth of systems and modalities represented in the dataset enable data requests from the simple to the complex to be fulfilled quickly and efficiently."

In short, it's plug-and-play for the AI world — minus the waiting, red tape, and patchy datasets.

Why does it matter?

This kind of access isn't just convenient — it's a game-changer. Here's why:

  • It supercharges AI training, feeding models with richer, more representative data.
  • It shortens the path from research to real-world impact.
  • And most importantly, it puts better tools in the hands of doctors and researchers, leading to smarter diagnoses, faster treatments, and maybe even a few saved lives along the way.

AI thrives on data. But not just any data — precise, clean, and diverse data that mirrors real human complexity. That's what this partnership brings to the table.

The context

Healthcare AI isn't in its infancy anymore — it's in that loud, awkward teen phase. It's growing fast, throwing elbows, and breaking things. But it's also full of promise. What it needs now is structure, stability, and smarter inputs.

That's where OneMedNet's iRWD platform comes in, delivering anonymized medical data from across specialties — oncology, cardiology, rare diseases, and more. And Protege? They've built the runway for these datasets to take flight.

It's not just about innovation — it's about doing it right. Responsibly. Ethically. And with data that reflects the real world, not just ideal cases.

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