| Sumario: | The article focuses on the challenges and responsibilities associated with the deployment of artificial intelligence (AI) in healthcare, particularly regarding its impact on clinical data management. It highlights the critical role of health information (HI) professionals in ensuring the accuracy and effectiveness of AI tools, which can sometimes produce erroneous outputs due to their reliance on large language models (LLMs). The text discusses various applications of AI in clinical documentation, coding, clinical documentation improvement (CDI), and billing, emphasizing the need for careful evaluation of vendor offerings and the importance of human oversight to mitigate risks associated with AI-generated data. Ultimately, it underscores that while AI can enhance efficiency and data processing, it is not a substitute for the expertise of HI professionals who are essential for translating AI outputs into actionable insights.
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