3 Use Cases for Generative AI in Healthcare Documentation
Rapid advancements in large language models (LLMs) have brought generative AI tools to practically every business sector, and healthcare is no exception.As defined by the Government Accountability Office, generative AI is “a technology that can create content, including text, images, audio or video, when prompted by a user.”Generative AI systems learn patterns and relationships from massive amounts of data, allowing them to create new content that might be similar, but not identical, to training data. The technology processes and produces content through the use of machine learning algorithms and statistical models.The healthcare sector is using generative AI for various use cases, including clinical documentation, patient communication and clinical text summarization.The leading cause of clinician burnout is excessive documentation requirements, according to a 2022 athenahealth survey conducted by the Harris Poll. However, early research has shown promise for generative AI to streamline clinical documentation workflows, which could help mitigate burnout and improve clinician satisfaction.
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Matched with Medical Subject Headings (MeSH): Biomedical Technology, Healthcare IT News: Artificial Intelligence
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