1. Evaluating the Quality of Postpartum Hemorrhage Nursing Care Plans Generated by Artificial Intelligence Models.
- Author
-
Karacan E
- Subjects
- Humans, Cross-Sectional Studies, Female, Quality of Health Care standards, Adult, Pregnancy, Postpartum Hemorrhage nursing, Artificial Intelligence, Patient Care Planning
- Abstract
Background: With the rapidly advancing technological landscape of health care, evaluating the potential use of artificial intelligence (AI) models to prepare nursing care plans is of great importance., Purpose: The purpose of this study was to evaluate the quality of nursing care plans created by AI for the management of postpartum hemorrhage (PPH)., Methods: This cross-sectional exploratory study involved creating a scenario for an imaginary patient with PPH. Information was put into 3 AI platforms (GPT-4, LaMDA, Med-PaLM) on consecutive days without prior conversation. Care plans were evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) scale., Results: Med-PaLM exhibited superior quality in developing the care plan compared with LaMDA ( Z = 4.354; P = .000) and GPT-4 ( Z = 3.126; P = .029)., Conclusions: Our findings suggest that despite the strong performance of Med-PaLM, AI, in its current state, is unsuitable for use with real patients., Competing Interests: The author declares no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
- Published
- 2024
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