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Andy Pollen

How Clinical Platforms Benefit from AI-Driven Workflows

aiOS, Length of Stay, Pulmonary Embolism, System Integration, Turnaround Time
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For years, hospitals have faced a perfect storm: overwhelming volumes of clinical data, rising operational costs and a physician burnout crisis. Traditional, linear workflows — where information moves slowly from one siloed department to the next — can no longer keep up.

But what if you could replace this outdated model with one that’s smarter, faster and continuously learning?

The Rise of AI-Powered Clinical Platforms

Enter the AI-driven clinical platform, the infrastructure for a new era of healthcare delivery. Powered by real-time automation and intelligent orchestration, these platforms allow hospitals to move from reactive care to proactive, coordinated action.

At the forefront of this transformation is Aidoc’s aiOS™, the operating system specifically built specifically to run, orchestrate and scale clinical AI across the enterprise. Already in use at over 1,500 medical centers and health systems worldwide, aiOS™ is helping hospitals deploy AI solutions at scale that reduce report turnaround times (TAT), improve patient outcomes and unlock measurable ROI.

Unlike AI marketplaces or standalone algorithms, aiOS™ delivers an integrated, always on infrastructure that connects insights to action — seamlessly, securely and systemwide.

Why “STAT” Isn’t Fast Enough Anymore

In a typical emergency department (ED), a physician marks a scan “STAT” but so do many other providers. Radiologists are left with a queue of urgent cases, often without full context. Under intense pressure, subtle but critical findings can be missed, and the clock keeps ticking.

This reactive model can lead to delayed diagnoses and treatment bottlenecks, and contributes directly to burnout. In fact, nearly half of all radiologists report symptoms of burnout today.

What an AI Operating System Does Differently

AI can fundamentally reshape this dynamic, but only if it’s deployed the right way. Instead of layering in point solutions, aiOS™ provides a unified platform that:

  • Runs multiple AI algorithms continuously in the background
  • Surfaces AI suspected critical findings instantly for faster triage
  • Drives care team coordination in real time
  • Monitors real-world deployment and AI performance over time

With aiOS™, hospitals get a clinical AI infrastructure that’s built for scale, speed and safety.

Example: Stroke Response in Minutes, Not Hours

Let’s walk through a real-world scenario: a patient arrives in the ED showing signs of stroke.

  1. Immediate AI Analysis: As soon as the CT scan is completed, Aidoc’s anatomy-aware orchestration routes the images for analysis by intracranial hemorrhage (ICH), brain aneurysm or large vessel occlusion AI solutions, regardless of the scan’s original intent.
  2. Intelligent Worklist Integration: If a suspected critical finding is detected, aiOS™ flags the case and escalates it in a dedicated UI, and by integrating with the radiologist’s worklist, ensuring high-acuity patients are reviewed first.
  3. Real-Time, Cross-Team Alerts: Simultaneously, aiOS™ sends a HIPAA-compliant alert — complete with key images, real-time electronic health record (EHR) data and secure messaging — to the stroke coordinator, neurologist and interventionalist. Everyone sees the same information and can act immediately.

At Ochsner LSU Health Shreveport, this AI-driven coordination cut door-to-puncture time by 38 minutes, a 34% reduction that saves millions of brain cells for each stroke patient.

Real-World Results from Health Systems Using aiOS™

Aidoc’s aiOS™ is already powering results across health systems:

Every one of these improvements translates to better care, fewer missed opportunities and real financial impact — especially with each hospital bed day costing upward of $3,000.

A Proven Solution to Help Fight Physician Burnout

John Borsa, MD, Chair of Radiology at St. Luke’s Health System, calls the platform a “game-changer” in managing workloads, especially amid a radiologist shortage.

While clunky, poorly integrated AI tools have been linked to increased burnout, a seamlessly integrated platform that filters noise and surfaces only what matters does the opposite: It relieves pressure and helps clinicians focus on patient care.

Why Enterprise-Scale AI Requires a Platform

The greatest impact from AI comes not from isolated tools but from intelligent infrastructure that enables:

  • Continuous performance monitoring
  • Proactive governance and validation
  • Seamless EHR and workflow integration
  • Scalable deployment across sites and service lines

That’s what makes aiOS™ different, and why Aidoc has been able to support some of the largest clinical AI deployments in the world.

Ready to Modernize Your Clinical Workflows?

Hospitals don’t need more tools. They need a platform that connects the right insights to the right people at the right time.

Discover how Aidoc’s aiOS™ can transform your clinical workflows with AI-powered infrastructure. Book a demo today.

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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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