The financial case for an AI workforce in providers’ revenue cycle operations

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Rapid and safe evaluations of LLMs: how clinical simulation closes the evidence gap

10 min read

Gareth Obery

Rapid and safe evaluations of LLMs: how clinical simulation closes the evidence gap

10 min read

Gareth Obery

Large Language Models (LLMs) are reshaping healthcare, but how do we ensure they work safely and reliably for clinicians? Traditional trials are too slow and costly for digital health's rapid cycles, while early testing doesn't prove clinical validity. Clinical simulation offers a promising way forward, putting these tools in clinicians' hands, in realistic scenarios, to test their real-world performance. We believe this methodology should become a core part of how we validate LLM-based technologies before they reach clinical settings.

10 min read

Gareth Obery

“How healthy is my revenue cycle?”: 3 methods AI RCM companies and healthcare providers can use to measure RCM performance and show ROI

10 min read

Ryan Callahan

“How healthy is my revenue cycle?”: 3 methods AI RCM companies and healthcare providers can use to measure RCM performance and show ROI

10 min read

Ryan Callahan

Discover how AI workforce solutions transform revenue cycle management. Learn 3 key metrics to measure ROI and boost healthcare financial performance.