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Griffin Health: A Model for AI Integration in Healthcare

Featured Story in HealthcareIT News

May 27, 2025 | Griffin Health boosts cancer care and case closure rates by 50% with Inflo Health’s AI follow-up tools

Griffin Health, a 160-bed acute care hospital in Derby, Connecticut, has significantly advanced follow-up care including cancer initiatives through a strategic partnership with Inflo Health. This collaboration has enabled Griffin Health to enhance diagnosis and early cancer detection, streamline patient care, and improve clinical outcomes.

“These are real lives, potentially extended or saved because an AI system surfaced the right data at the right time, and our teams were equipped to act on it.” Todd Liu, COO, Griffin Health.

Addressing Radiology Follow-Up Challenges

In the healthcare industry, it’s a well-documented issue that approximately 50% of recommended follow-up imaging studies are not completed, often due to inconsistent handoffs, lack of centralized tracking, and communication gaps between departments. Griffin Health faced similar challenges. Hampered by manual processes, resource constraints, and process and communication gaps, the care navigators relied on heroic efforts to ensure follow-up care with little assurance that a patient made it to their appointment.

By integrating Inflo Health’s AI-powered, high-reliability follow-up platform, Griffin Health automated the identification and management of radiology follow-up recommendations. Using natural language processing (NLP) to analyze radiology reports, organizing follow-ups into smart worklists, and automating care navigation for patients and providers, the platform closes potential failure points. This automation ensures that patients receive timely follow-up care, reducing the likelihood of missed or delayed diagnoses.

Measurable Improvements in Patient Care

The implementation of Inflo Health’s technology has led to impressive and notable improvements at Griffin Health, including:

  • 50% Increase in Case Closure Rate: By automating follow-up processes, Griffin Health significantly improved the rate at which radiology cases were appropriately closed.
  • 17% Rise in Follow-Up Completion: Enhanced tracking and communication led to more patients completing their recommended follow-up imaging studies.
  • Improved Operational Efficiency: The automation reduced the administrative burden on staff, allowing clinicians to focus more on direct patient care.

These outcomes not only enhance patient safety but also contribute to better resource utilization and reduced organizational risk.

A Model for AI Integration in Healthcare

Griffin Health’s successful partnership with Inflo Health illustrates how AI can be effectively integrated into healthcare systems to address longstanding challenges and how smart automation translates AI insights into better patient outcomes. By leveraging technology to ensure that no critical follow-up is missed, Griffin Health has set a precedent for other institutions aiming to improve patient outcomes through innovation.

For more on Griffin Health’s success, read the full HealthcareIT News article by Bill Siwicki here: Griffin Health: AI helps point out patients that clinicians should screen for cancer.