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Today’s tools employ natural language understanding so patients can use familiar words and phrases – while back-end intelligence translates this vocabulary into data appropriate for a clinician.
We’re told that different AI applications and tools can reduce administrative burden and clinical burnout, improve patientexperience and outcomes, and so much more. RAG empowers businesses to create a wide range of AI solutions by combining LLMs with internal and external knowledgebases.
It can also automate the review of incoming faxes, identify gaps in care, streamline tasks with robotic process automation, and even alert providers of patients most likely to miss an appointment. I’m excited to see how it will transform clinical workflows and, in the end, create a better patientexperience in 2024.
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