Turning Artificial Intelligence into Business Intelligence.

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 an...

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Detalles Bibliográficos
Publicado en:Journal of AHIMA
Autor principal: Kivi, Dale
Formato: Journal Article
Publicado: American Health Information Management Association 11/3/2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/3/2025
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      pub: American Health Information Management Association
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        atl: Turning Artificial Intelligence into Business Intelligence.
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        au: Kivi, Dale
      sug:
        subj:
          Artificial Intelligence
          Business
          Intelligence
          Technology, Medical
          Health Information Management
          Financial Management
          Documentation
          Turnaround Time
          Profits
          Investments
          Voice Recognition Systems
          Fee for Service Plans
          Natural Language Processing
          Billing and Claims
      ab: 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.
      pubtype: Periodical
      doctype: Journal Article
      ougenre: Article
    language: English
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