Lisa G Johnson, Olatunde O Madandola, Fabiana Cristina Dos Santos, Karen J B Priola, Yingwei Yao, Tamara G R Macieira, Gail M Keenan
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引用次数: 0
Abstract
Background: Extensive time spent on documentation in electronic health records (EHRs) impedes patient care and contributes to nurse burnout. Artificial intelligence-based clinical decision support tools within the EHR, such as ChatGPT, can provide care plan recommendations to the perinatal nurse. The lack of explicit methodologies for effectively integrating ChatGPT led to our initiative to build and demonstrate our ChatGPT-4 prompt to support nurse care planning.
Methods: We employed our process model, previously tested with 22 diverse medical-surgical patient scenarios, to generate a tailored prompt for ChatGPT-4 to produce care plan suggestions for an exemplar patient presenting with preterm labor and gestational diabetes. A comparative analysis was conducted by evaluating the output against a "nurse-generated care plan" developed by our team of nurses on content alignment, accuracy of standardized nursing terminology, and prioritization of care.
Results: ChatGPT-4 delivered suggestions for nursing diagnoses, interventions, and outcomes comparable to the "nurse-generated care plan." It accurately identified major care areas, avoided irrelevant or unnecessary recommendations, and identified top priority care. Of the 24 labels generated by ChatGPT-4, 16 correctly utilized standardized nursing terminology.
Conclusion: This demonstration of the use of our ChatGPT-4 prompt illustrates the potential of leveraging a large language model to assist perinatal nurses in creating care plans. The next steps are improving the accuracy of ChatGPT-4-generated standardized nursing terminology and integrating our prompt into EHRs. This work supports our broader goal of enhancing patient outcomes while mitigating the burden of documentation that contributes to nurse burnout.
期刊介绍：
The Journal of Perinatal and Neonatal Nursing (JPNN) strives to advance the practice of evidence-based perinatal and neonatal nursing through peer-reviewed articles in a topic-oriented format. Each issue features scholarly manuscripts, continuing education options, and columns on expert opinions, legal and risk management, and education resources. The perinatal focus of JPNN centers around labor and delivery and intrapartum services specifically and overall perinatal services broadly. The neonatal focus emphasizes neonatal intensive care and includes the spectrum of neonatal and infant care outcomes. Featured articles for JPNN include evidence-based reviews, innovative clinical programs and projects, clinical updates and education and research-related articles appropriate for registered and advanced practice nurses.
The primary objective of The Journal of Perinatal & Neonatal Nursing is to provide practicing nurses with useful information on perinatal and neonatal nursing. Each issue is PEER REVIEWED and will feature one topic, to be covered in depth. JPNN is a refereed journal. All manuscripts submitted for publication are peer reviewed by a minimum of three members of the editorial board. Manuscripts are evaluated on the basis of accuracy and relevance of content, fit with the journal purpose and upcoming issue topics, and writing style. Both clinical and research manuscripts applicable to perinatal and neonatal care are welcomed.
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