AI Enabling Radiologists and Patients to Identify Critical Follow-Up with Angela Adams Inflo Health

Empowered Patient Podcast

Angela Adams, CEO at Inflo Health, is addressing the opportunity to improve the tracking and follow-up of radiology findings. Info Health uses natural language processing to understand radiologists' reports and identify findings that require additional imaging and possible actions. Healthcare providers often lack the resources to manage radiology test results effectively. Inflo Health's solution can drive significant revenue to these providers by minimizing missed follow-ups and appointments.

Angela explains, "Inflo Health is a technology company that serves healthcare—primarily health systems and imaging centers. We're built around solving the problem for health systems of never missing a follow-up related to radiology. If you look at the research, it will show you pretty readily that about 50% of radiology findings and actionable findings are missed in the healthcare system today, primarily because it's a really difficult problem to solve. You've got a radiologist who dictates a report in real-time, understanding what the imaging is showing on a patient. Many times, they dictate multiple follow-ups in a study. They might find something that's incidental, meaning they're going for an image of their cervical spine because they have an upcoming surgery, but they might find a thyroid lesion on that scan. So, for the patient, not only how do we identify that there's a follow-up in that report, but also how do we care navigate the patient in the right direction?"

"The really big issues in the health system today are care navigation and the identification of follow-ups, which Inflo helps solve. We built a large language model. You probably hear that term a lot these days with ChatGPT and OpenAI and things like that. If you can think of one that's very specific to radiology language. What we've done is teach a computer to speak radiology language so that it can understand what the intention was of the radiologist. So we very much empower the radiologist, and whatever their follow-up is that they're identifying, we basically put a microphone to that, and we automate the tracking, the follow-up, the patient communication. So, we engage with the patient to ensure they understand their care. And in doing so, we're able to save - our last estimate was close to 20,000 patient lives a year."

#InfloHealth #Radiology #PatientCare #HealthTech #HealthcareInnovation #MedAI

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