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Andy Pollen

How to Evaluate an AI-Powered Hospital Platform

aiOS, Data Management, Information Technology, Orchestration, System Integration
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When evaluating a hospital platform vendor, every health system is trying to answer the same question: Will this AI investment actually improve care?

Choosing the right AI-powered hospital platform is no longer just a technology decision — it’s a care delivery decision. The platform you select will determine how seamlessly your clinicians can work together and how reliably your solution delivers outcomes. 

Success isn’t just about AI algorithms, it’s about the infrastructure required to deploy them effectively. To improve care and scale across departments, AI must be embedded into a hospital platform purpose-built for integration, orchestration, governance and clinical-grade performance.

Algorithms Aren’t Enough. You Need the Right Infrastructure Behind Them.

Deploying AI successfully takes more than plugging in algorithms from a marketplace. It requires a hospital platform that can manage AI consistently, intelligently and at scale.

That means:

  • Native integration into imaging systems, EHRs and scanners
  • Automated, anatomy-aware intelligent orchestration of all relevant AI algorithms
  • Built-in continuous monitoring for accuracy, data drift and outcomes for on-demand governance
  • Integration with patient management tools to ensure follow-through, not just alerts, that close care gaps

If your platform can’t do these things, AI will only add complexity to your teams and systems.

Choosing a Hospital Platform Is a Clinical Decision

Hospital platforms don’t just support operations, they help actively shape AI use and adoption. A platform equipped with AI should enable:

  • The ability to  surface suspected and incidental findings in real time
  • Power solutions that help enable stronger clinical collaboration across specialties and care settings
  • Operational efficiency through automation and coordination
  • System-wide impact without additional burden on clinical or IT teams

Platforms that can’t deliver on these fronts won’t deliver real ROI.

Beware of Shallow Hospital Platforms

Many platforms claim AI integration capabilities, but in reality, they rely on third-party tools and shallow integrations. That creates fragmented workflows, unclear accountability and limited ROI. That results in:

  • Disconnected workflows
  • Unclear accountability
  • High costs with little clinical impact

A true clinical AI platform is built from the ground up to manage AI across the enterprise — securely, intelligently and at scale.

What to Ask When Evaluating a Hospital Platform Vendor

If you’re evaluating hospital platforms, ask these five questions to assess their readiness for enterprise-scale AI:

  1. Is the platform purpose-built to scale AI across departments?
     Or does it require stitching together point solutions?
  2. Can it deeply integrate into your clinical systems?
     Surface-level interoperability won’t drive real-time care decisions.
  3. Can it adapt and grow with your system’s needs?
     You shouldn’t need new integrations to add new use cases.
  4. Does it provide visibility into AI performance and outcomes?
     You should be able to track accuracy, utilization and patient impact.
  5. How does it support governance and compliance?
     Look for model-level auditability and alignment with clinical and regulatory standards.

Why Aidoc’s aiOS™ Leads the Category

Aidoc’s aiOS™ isn’t an app or an add-on. It’s the clinical AI operating system that powers real-time intelligence across the entire health system. Purpose-built for enterprise scale, aiOS™ delivers the infrastructure needed to make AI practical, effective and measurable in day-to-day clinical care.

With aiOS™, hospitals can:

  • Run AI automatically and intelligently across departments, anatomy and modalities — with no manual routing or tool switching
  • Drive action in real time by surfacing suspected and incidental findings directly into existing workflows, enabling faster decisions and stronger care coordination
  • Measure performance continuously with built-in tools to track accuracy, usage and clinical value across all AI applications
  • Scale safely and efficiently by managing AI from a single platform — reducing IT complexity while supporting governance, auditability and future growth

Your Hospital Platform Should Power Outcomes — Not Just Run AI

As AI becomes central to care delivery, the real question isn’t whether to adopt it, it’s whether your platform can make it work. Explore how Aidoc’s aiOS™ is helping hospitals scale AI the right way.

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Andy Pollen
Andy Pollen is an experienced healthcare communicator and strategist who currently serves as the Director of Marketing Communications for Aidoc. Previously, he was the global marketing communications lead for critical care solutions within 3M Health Care's Medical Solutions Division, now Solventum. Pollen has also held communications positions with the University of Minnesota Academic Health Center, Indiana University Health and several business functions within Eli Lilly and Company through Borshoff, a creative services agency. He earned a bachelor’s degree in public relations and journalism from Ball State University and holds a master’s degree in business administration from Anderson University.
Andy Pollen
Director, Marketing Communications

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