14035
Blog
Andy Pollen

What's Missing from AI Marketplaces? Workflow, Trust and Clinical Impact

aiOS, Care Coordination, System Integration, Workflow
Table of Contents

The concept of an AI marketplace sounds great on paper: a digital bazaar where health systems can shop for algorithms. However, when it comes to real-world healthcare delivery, most of these marketplaces fall short.

Here’s the uncomfortable truth: algorithms aren’t solutions.

Marketplaces, for all their choice and ease of purchase, only provide minimal integration capabilities and accountability, which eventually leads to poor workflow support, low adoption and performance issues.

At Aidoc, we’ve seen where these models break down. Why? Because health systems don’t need more algorithms, they require an operating system.

The Illusion of Choice

Marketplaces often optimize for breadth: more models, more vendors and more “options,” but when clinical AI is divorced from workflow, context and accountability, those options become liabilities.

  • Workflow awareness is missing. Algorithms are deployed in silos — often radiology only — when real-world care journeys span emergency, procedural and outpatient settings.
  • User experience lacks productivity support. Radiologists often receive a basic experience that relies on PACS interface with no dedicated AI interface (e.g., no findings summary, explainability, reporting/worklist integration or sophisticated logic like prior retrieval and filtering). 
  • Trust is diluted. Tools are added but not deeply vetted or integrated. Clinical teams are left wondering what to trust, where to find it and how it fits.
  • Scale is an afterthought. Adding one model may be easy. Scaling 10–20 across a system? That’s where duplication, fragmentation and governance chaos creep in.

This model shifts the burden to IT, to clinical teams and to individual champions. Eventually, momentum stalls — not because AI failed, but because the infrastructure wasn’t there to support it.

The Platform Imperative

Aidoc built aiOS™ because we believed something different: AI should adapt to healthcare, not the other way around.

aiOSTM is the only operating system designed to run, orchestrate, monitor and scale clinical AI across the enterprise. It’s not a marketplace, rather it is infrastructure that lets health systems deploy AI with clarity, confidence and clinical purpose.

Here’s what it delivers:

  1. Run AI with Intelligence That Sees the Whole Picture
    aiOSTM ingests multimodal data and uses intelligent orchestration to determine which algorithms to run, when and why. It doesn’t rely on predefined triggers or metadata alone — it sees the full clinical context. That means surfacing incidental findings and catching what others might miss.
  2. Built to Activate Care Coordination
    Insights move with the patient. aiOSTM offers worklist integration into EHRs, PACS, and mobile workflow apps and prioritizes cases by acuity with interfaces designed for radiologists, ED teams, navigators and ambulatory care — because AI isn’t helpful until it’s actionable.
  3. Govern and Grow
    aiOS doesn’t stop at deployment. It includes a self-serve analytics hub, continuous performance monitoring and safeguards for data drift — giving system leaders the tools to track impact, drive adoption and scale responsibly.
  4. Scale Without Friction
    One integration supports every model, whether Aidoc-built, homegrown or third-party. That’s the value of unified infrastructure. aiOS lets hospitals expand AI without multiplying contracts or creating IT complexity. You don’t have to rebuild every time you grow.

Adopt AI With Intention

Marketplaces offer access, but platforms deliver outcomes.

If you want to experiment with AI, a marketplace might be enough, but if your goal is system-wide transformation — real impact, real scale and real alignment — you need more than algorithms, you need an enterprise-wide platform.

In healthcare, what matters isn’t how many tools you buy, it’s whether they have the infrastructure to work together, work in context and work when it counts.

Ready to Bring a True Clinical AI Platform to Your Health System?

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Andy Pollen
Andy Pollen is a former Aidocee.
Andy Pollen
Director, Marketing Communications

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