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How do you build genuine trust in Artificial Intelligence (AI) within a clinical setting—especially one as data-intensive as radiology? East Alabama Medical Center (EAMC) recently took on this challenge as part of the American College of Radiology (ACR) ImPower program. By actively engaging stakeholders, sharing data openly, and ensuring that AI solutions align with clinical priorities, EAMC fostered an environment where clinicians and radiologists view AI as a valuable partner rather than a threat.

Terrebonne General Health System has announced a strategic partnership with Inflo Health to address a critical early indicator of potential lung cancer, accelerating detection and driving more timely interventions. This effort is part of Terrebonne General's ongoing investment in innovative solutions to reduce care delays and improve outcomes for patients in Houma and surrounding areas.

In the first of our three-part series on best practices for quality improvement, we explore the American College of Radiology (ACR) ImPower Program's Structured Problem-Solving methodology through the lens of East Alabama Medical Center's (EAMC) Artificial Intelligence (AI) solution implementation. 

In today's rapidly evolving healthcare landscape, AI is critical in enhancing patient care, streamlining workflows, and supporting clinicians. Angela Adams, RN's recent article in Healthcare Business Today, sheds light on how AI transforms healthcare by bridging the trust gap and amplifying clinician expertise.

Inflo Health, now an ACR Learning Network Vendor Partner, collaborated with East Alabama Medical Center and the ACR ImPower Program, achieving a 74% increase in radiology follow-up completion rates, a 95% boost in staff efficiency, and a 20% improvement in adherence to appropriateness guidelines.

Augusta University Health will leverage Inflo Health’s advanced AI and natural language understanding solution to automate the radiology follow-up process for hundreds of thousands of their radiology patients per year.   Inflo Health will support all areas within AU Health’s radiology program, including support to close any gaps within the incidental findings program. 

Driven by the frustration of manual identification in radiology reports with recommended follow-up and limited staff time to perform necessary follow-ups, Griffin Health partnered with Inflo Health.

These questions ultimately led me to discover Inflo health, a company addressing known, routine problems in healthcare in a totally novel way.

The COVID-19 pandemic has massively accelerated the adoption and normalization of new technology in healthcare. Here are five mistakes Imaging Centers should look out for -- and what to do now.

Radiology artificial intelligence (AI) company, Inflo Health, is partnering with Augusta University Health System (AUHS) to develop AI-driven technology being designed to improve follow-up management and workflow efficiency with radiological services.

The Radiology Group (TRG), a national radiology professional services company with a physical presence in 28 states, leverages artificial intelligence (AI) to improve workflow intelligence with Healthcare AI company Inflo Health.

‘Which study should I read next?’ is a simple question but strikes the core of a radiology team’s workflow. This blog post covers a solution that maximizes improvements in turnaround times.

Radiology is a growing and evolving field where circumstances surrounding a Radiologists day-to-day activities have become increasingly pressurized, leading to high rates of burnout.

Emergency Department (ED) visits are on the rise. Coupled with increased use of diagnostic imaging in ED, Radiologists face increased pressure to reduce interpretation turnaround time.

As Radiologists work tirelessly to interpret images at an increasingly productive rate, there naturally exists an increased risk for errors, misdiagnosis, and lack of follow-up attention.

Diagnostic imaging is a major and critical aspect of healthcare globally. While one of the most tech-forward industries in medicine, Radiologists often spend valuable diagnostic time on administrative tasks or navigating cumbersome workflows.

Diagnostic radiology is a dynamic and changing landscape. Here we’ll outline the steps you can take to efficiently manage workloads without compromising quality and patient care.

We'll show you how you can improve report turnaround times across across the board by applying one optimization: automatic priority levels to ultimately present the right study for you to read next.