Investigation of Pressure Injuries With Visual ChatGPT Integration: A Descriptive Cross‐Sectional Study

This study aimed to assess the performance of Visual ChatGPT in staging pressure injuries using real patient images, compare it to manual staging by expert nurses, and evaluate its applicability as a supportive tool in wound care management. This study used a descriptive and comparative cross-sectio...

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Bibliographic Details
Published in:Journal of advanced nursing
Main Authors: Karaçay, Pelin, Goktas, Polat, Yaşar, Özgen, Uyanik, Burak, Uzlu, Sinem, Coşkun, Kübra, Benk, Mesut
Format: Journal Article
Language:English
Published: England 14.03.2025
Subjects:
pressure injuries
ChatGPT
clinical decision support
nursing practice
wound care management
healthcare technology
artificial intelligence
ISSN:0309-2402, 1365-2648, 1365-2648
Online Access:Get full text
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Summary:This study aimed to assess the performance of Visual ChatGPT in staging pressure injuries using real patient images, compare it to manual staging by expert nurses, and evaluate its applicability as a supportive tool in wound care management. This study used a descriptive and comparative cross-sectional design. The study analysed 155 patient pressure injury images from a hospital database, staged by expert nurses and Visual ChatGPT using the National Pressure Injury Advisory Panel guidelines. Visual ChatGPT's performance was tested in two scenarios: with images only and with images plus wound characteristics. Diagnostic performance was evaluated, including sensitivity, specificity, accuracy, and inter-rater agreement (Kappa). Expert nurses demonstrated superior accuracy and specificity across most pressure injury stages. Visual ChatGPT performed comparably in early-stage pressure injuries, especially when wound characteristics were included, but struggled with unstageable and deep-tissue pressure injuries. Visual ChatGPT shows potential as an artificial intelligence tool for pressure injury staging and wound management in nursing. However, improvements are necessary for complex cases, ensuring that artificial intelligence complements clinical judgement. Visual ChatGPT can serve as an innovative artificial intelligence tool in clinical settings, assisting less experienced nurses and those in areas with limited wound care specialists in staging and managing pressure injuries. The STROBE checklist was followed for reporting cross-sectional studies in line with the relevant EQUATOR guidelines. No patient or public contribution.
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ISSN:0309-2402
1365-2648
1365-2648
DOI:10.1111/jan.16905