An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer

J Am Med Inform Assoc. 2024 Sep 1;31(9):2089-2096. doi: 10.1093/jamia/ocae116.

Abstract

Objective: Our article demonstrates the effectiveness of using a validated framework to create a ChatGPT prompt that generates valid nursing care plan suggestions for one hypothetical older patient with lung cancer.

Method: This study describes the methodology for creating ChatGPT prompts that generate consistent care plan suggestions and its application for a lung cancer case scenario. After entering a nursing assessment of the patient's condition into ChatGPT, we asked it to generate care plan suggestions. Subsequently, we assessed the quality of the care plans produced by ChatGPT.

Results: While not all the suggested care plan terms (11 out of 16) utilized standardized nursing terminology, the ChatGPT-generated care plan closely matched the gold standard in scope and nature, correctly prioritizing oxygenation and ventilation needs.

Conclusion: Using a validated framework prompt to generate nursing care plan suggestions with ChatGPT demonstrates its potential value as a decision support tool for optimizing cancer care documentation.

Keywords: artificial intelligence; cancer; large language model; nursing; standardized nursing terminologies.

MeSH terms

  • Aged
  • Artificial Intelligence
  • Decision Support Systems, Clinical
  • Documentation
  • Humans
  • Lung Neoplasms* / nursing
  • Patient Care Planning*
  • Standardized Nursing Terminology