I earned this certificate for training on AI in the Era of Medical Coding. We discussed the record-shattering speed of AI adoption in comparison to other technologies, the layers of AI in healthcare, the difference between Agentic AI/Generative AI/Deep Learning/Neural Networks/Machine Learning/Classical AI, key drivers for AI adoption in healthcare, AI integrations impact, AI coding capabilities & performance outcomes, and AI assisted workflow. We delved pretty deeply into several areas such as the Denials Management "AI Arms Race" happening between the payers & clinicians/healthcare systems, the areas AI works best for (imaging diagnostics in particular), AI use in medical necessity & prior authorizations, coding assist tools & the use of AI in Clinical Documentation Improvement. Some of the other attendees had some great insights to offer from their own experiences with AI adoption from their own healthcare systems. The discussion about bias risks & "hallucinations" was fascinating, and the privacy & policy compliance risks certainly gave me something to ponder. Of course, this training would not be complete without some suggestions as to what the future of careers in coding will be evolving into; it's definitely the hot topic these days and coders always stay on top of their game! #Adapt #ContinualLearning #AI
