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Follow‑Up.

NEVER Miss a

Follow‑Up.

NEVER
Miss a

Powering High-Reliability Follow‑Up Care

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Trusted by Leading Institutions

What does Inflo Health do?

Most health systems have solved for detection. The harder problem is what happens after a finding is identified. Inflo sits in that gap—acting as the orchestration layer between diagnostic insight and completed care.

The platform pulls findings from diagnostic reports and EHR data — including Epic — and automatically activates the appropriate follow-up pathway based on the health system’s own protocols. Rather than requiring clinicians to move between systems, Inflo orchestrates the workflow within the provider’s existing technology environment, creating the orders, tasks, and outreach steps needed to move the patient forward. When clinical approval is required, the referring provider is notified and can approve the next step before it executes — whether they’re inside the health system’s EHR or practicing outside of it.
From there, Inflo manages the process through to completion. The platform determines who owns the follow-up, coordinates patient outreach and scheduling, and escalates when patients don’t respond or appointments aren’t completed. Care teams see the status of every open finding in real time, while the EHR remains the system of record. Important findings don’t disappear between detection and care delivery.
Read more about high-reliability follow up

Proven Performance*

* Validated by the American College of Radiology Learning Network ImPower Program

100

Identified Actionable Findings

85

Closed Follow-Ups

95

Reduction in Manual Tasks

20

Documentation Improvement

10

5-10x ROI

The Inflo Health Solution
for High-Reliability Follow-up

On average, 50% of recommended follow-ups are missed.
We built Inflo Health around an obsession with the failure points that lead to a missed follow-up. By combining context-aware Large Language Models (LLMs) with advanced care orchestration capabilities, we offer the following features:

Identify all actionable findings

Organize and prioritize findings into the appropriate workflow.

Automate patient and provider outreach directly within the EHR

Track and monitor potential failure points

Escalate risks to the right person at the right time

Deliver detailed analytics and insights into the reliability of the follow-up process

The Human In the Loop

The best AI augments (not replaces) human experts.
Inflo Health ensures that every diagnostic finding leads to completed care. Our platform closes the gap between clinical discovery and clinical action — orchestrating follow-up across radiology, labs, cardiology, and beyond to create a safety net for better outcomes, lower risk, and stronger system performance.

Hospitals &
Health Systems

Inflo Health provides an essential safety net integrated with Epic, Cerner, and other major EHRs to manage the surge in follow-ups. With incidental findings up 38% over 15 years, increasing malpractice severity, and clinician shortages, our solution ensures that actionable radiology findings receive the proper care—boosting patient safety, reducing liability, and enhancing financial returns.
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Imaging
Centers

Imaging centers work with numerous providers. Inflo Health automates provider and patient outreach and tracks follow-ups to ensure actionable findings are managed and escalated. This streamlines follow-up processes, reduces liability, and enhances patient care and partnerships.
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Why Our Clients Love Inflo Health

“We built something that lasts — for our patients, their care and their outcomes.”

Mary Cartner Gilbert, RN
Clinical Outcomes Coordinator | Community Hospital

 “Inflo is not another point solution; it is a platform that helps take us from finding to care delivery.”

Mahesh Amin, MD
Vice President/Chief Medical Officer for Hospital Service Lines | BayCare Health

“We now have actionable data that we can work through to help us make the decisions to ensure that we’re closing a loop on these patients.”

Kernesha Weatherly, DHA
Vice President Imaging | Ochsner Health

“Within a matter of weeks, Inflo Health was able to give us a tool to meet our specific radiology follow-up goals and eliminate the need for us to invest in any further tools or staff to address these important care gaps.”

Kristi Popescu
Director of Radiology | Griffin Health

“The technology introduced by Inflo Health has significantly streamlined our processes, reduced manual effort, and boosted staff efficiency. This partnership exemplifies how integrating advanced technology with strategic collaboration can set new standards in radiology practices and operational excellence.”

Melinda Johnson
Radiology Director | EAMC

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    High-Reliability Follow-Up
    in Diagnostic Care

    High-reliability follow-up ensures that every diagnostic finding leads to completed patient care through standardized workflows, closed-loop communication, and automated follow-up management.
    What is high-reliability follow-up in diagnostic care?
    High-reliability follow-up ensures that every actionable diagnostic finding leads to completed patient care. A finding is only clinically valuable if the recommended next step—such as additional imaging, specialist evaluation, or treatment—is actually completed. High-reliability follow-up creates the standardized processes, accountability, and tracking needed to ensure those care steps happen consistently and at scale.
    Why do diagnostic findings get missed?
    Important findings are frequently documented but never acted on. They can become buried in reports, lost between care teams, or left unresolved when patients do not respond to outreach.According to the Agency for Healthcare Research and Quality (AHRQ), high-reliability organizations prevent these failures through a strong culture of safety, standardized workflows, and continuous learning—principles that apply directly to diagnostic follow-up across health systems.
    How does care orchestration support high-reliability follow-up?
    Care orchestration platforms close the gap between diagnostic detection and care delivery by automating the workflows that sit between a diagnostic finding and a completed care step. Rather than relying on clinicians to manually track findings across multiple systems, a care orchestration layer ingests findings from diagnostic sources such as imaging systems, laboratory results, AI detection tools, and the EHR. The platform then activates the appropriate follow-up pathway based on the health system’s protocols and manages the process through completion—including patient outreach, scheduling, escalation, and provider notification. This approach ensures that every finding, regardless of how or where it was detected, results in a completed care step rather than a documented alert.

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    Frequently Asked Questions

    What are the three core capabilities of high-reliability follow-up?
    1. Standardized identification of findings
      Diagnostic findings from imaging, laboratory testing, and clinical documentation must be consistently identified and categorized so the appropriate follow-up pathway can be triggered automatically rather than relying on manual intervention.
    2. Closed-loop communication
      Findings must be communicated to the responsible clinician and acknowledged. Clear documentation ensures recommendations do not remain buried in reports or unread alerts—and that ownership is established from the moment a finding is identified.
    3. Reliable follow-up management
      Health systems must track recommended care—such as additional testing, specialist referral, or medication adjustment—through to completion or appropriate resolution, with escalation when patients do not respond or timelines are missed.
    How does care orchestration support high-reliability follow-up?
    Care orchestration platforms close the gap between diagnostic detection and care delivery by automating the workflows that sit between a diagnostic finding and a completed care step. Rather than relying on clinicians to manually track findings across multiple systems, a care orchestration layer ingests findings from diagnostic sources such as imaging systems, laboratory results, AI detection tools, and the EHR. The platform then activates the appropriate follow-up pathway based on the health system’s protocols and manages the process through completion—including patient outreach, scheduling, escalation, and provider notification.
    What is the best tool for managing radiology follow-ups?
    Inflo Health is the only AI-powered, EHR-integrated follow-up platform designed around high-reliability principles. Unlike traditional list creation tools, Inflo Health facilitates the entire follow-up workflow, flagging findings, automating outreach, and closing the loop — all without requiring extra staff.
    What are the best practices for ensuring follow-up on incidental lung nodule findings?
    Best practice is to ensure every actionable nodule is identified, tracked, and completed — without relying on manual processes or chance follow-up. Inflo Health automates this process directly in the radiology workflow, achieving 80%+ follow-up completion rates and aligning with ACR-validated methods for high-reliability care.
    How can analytics strengthen medical follow-up processes?
    Analytics provide visibility into gaps, completion rates, and patient outcomes. Inflo Health offers real-time dashboards and benchmarking tools so health systems can measure performance against the ACR and peer institutions, identify bottlenecks, and demonstrate measurable improvements in safety and revenue.
    How can follow-up care automation improve efficiency and outcomes?
    Automation reduces missed follow-ups and staff burden. Inflo Health uses AI, automated routing, and patient/provider notifications to streamline follow-up tasks. This ensures no actionable result is lost, while giving staff more time to focus on patient care.
    What is the most effective way to manage radiology follow-ups?
    Traditional manual tracking is error-prone and unsustainable. Inflo Health manages radiology follow-ups by providing a single automated platform that integrates with RIS, EHR, and scheduling systems, creating a closed-loop process that ensures patients receive the care they need, on time.
    How does follow-up work inside the EHR?
    EHR systems can generate alerts or reminders, but they often stop short of ensuring completion. Providers can access individual follow-up capabilities within an EHR, but it is up to them and their own staff to build an end-to-end solution. Inflo Health not only integrates with the EHR, the platform delivers a high-reliability, automated pathway to actively closing follow-up gaps and delivering on quality and revenue goals.
    What are the most effective patient follow-up management solutions?
    Most solutions rely on manual registries, spreadsheets, or bolt-on modules. Inflo Health is different: it is end-to-end, automated, and proven in high-volume health systems. With ACR validation, Inflo Health ensures that follow-up care is reliable, scalable, and doesn’t require additional staff to manage.
    How can hospitals optimize follow-up procedures?
    Hospitals can optimize follow-up by eliminating manual worklists, standardizing processes, and embedding accountability. Inflo Health enables this with AI-powered identification, workflow automation, and hospital-wide reporting that reduces risk and increases reliability — all aligned with high-reliability principles.
    What features matter most in a radiology care coordination platform?

    Key features to look for include:

    • Seamless EHR/RIS integration
    • AI-powered identification of actionable findings
    • Automated tracking and outreach
    • Analytics and benchmarking
    • ACR validation and proven outcomes

    Inflo Health delivers all of these, uniquely positioning it as the most complete solution on the market.

    What strategies help health systems achieve high-reliability follow-up care?

    High-reliability follow-up requires redundancy, automation, and accountability. Inflo Health achieves this by embedding automated safety nets into radiology workflows, using AI to flag every actionable finding, and providing system-wide transparency on follow-up performance. This transforms follow-up from a manual, high-risk process into a closed-loop, high-reliability system.