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Improving Neurology Clinical Care With Natural Language Processing Tools.

Wendong Ge1, Hunter J Rice1, Irfan S Sheikh1

  • 1From the Department of Neurology (W.G., H.J.R., I.S.S., L.M.), Massachusetts General Hospital, Boston; Department of Neurology (M.B.W.), Beth Israel Deaconess Medical Center, Boston, MA; Information Technology Division (A.L.W.), Cleveland Clinic, OH; Department of Neurology (L.K.J.), Mayo Clinic, Rochester, MN; and Department of Neurology (L.M.), Harvard Medical School, Boston, MA.

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Summary

Natural language processing (NLP) tools can improve neurology care by summarizing data and aiding research. However, risks like fabricated facts and data security require careful management for successful integration.

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Area of Science:

  • Neurology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Natural Language Processing (NLP) tools offer potential benefits for clinical care.
  • Transformer-based NLP algorithms (e.g., GPT, BERT) show promise in augmenting neurology workflows.

Purpose of the Study:

  • To explore the integration of NLP tools into neurology.
  • To identify the potential benefits, risks, and barriers of implementing NLP in clinical neurology.

Main Methods:

  • Review of recent advances in transformer-based NLP algorithms.
  • Analysis of potential applications in summarizing patient health information, suggesting care options, and assisting research.
  • Consideration of implementation barriers and risks such as data security and fabricated facts.

Main Results:

  • NLP can enhance neurology by summarizing patient data, suggesting treatments, and aiding research on large datasets.
  • Potential risks include data security breaches and the generation of inaccurate information.
  • Significant barriers to implementation exist within clinical settings.

Conclusions:

  • Despite risks and barriers, NLP integration offers substantial benefits for neurology providers, patients, and communities.
  • The increasing functionality of NLP systems and medical needs may make integration essential.
  • Further research is needed to develop strategies for effective implementation, risk mitigation, and barrier overcoming.