Assessing the Accuracy, Completeness and Safety of ChatGPT-4o Responses on Pressure Injuries in Infants: Clinical Applications and Future Implications DOI Creative Commons

Marica Soddu,

Andrea De Vito, Giordano Madeddu

и другие.

Nursing Reports, Год журнала: 2025, Номер 15(4), С. 130 - 130

Опубликована: Апрель 14, 2025

Background/Objectives: The advent of large language models (LLMs), like platforms such as ChatGPT, capable generating quick and interactive answers to complex questions, opens the way for new approaches training healthcare professionals, enabling them acquire up-to-date specialised information easily. In nursing, they have proven support clinical decision making, continuing education, development care plans management cases, well writing academic reports scientific articles. Furthermore, ability provide rapid access can improve quality promote evidence-based practice. However, their applicability in practice requires thorough evaluation. This study evaluated accuracy, completeness safety responses generated by ChatGPT-4 on pressure injuries (PIs) infants. Methods: January 2025, we analysed 60 queries, subdivided into 12 main topics, PIs questions were developed, through consultation authoritative documents, based relevance nursing potential. A panel five experts, using a 5-point Likert scale, assessed ChatGPT. Results: Overall, over 90% ChatGPT-4o received relatively high ratings three criteria with most frequent value 4. when analysing topics individually, observed that Medical Device Management Technological Innovation lowest accuracy scores. At same time, Scientific Evidence had No rated completely incorrect. Conclusions: has shown good level addressing about ongoing updates integration high-quality sources are essential ensuring its reliability decision-support tool.

Язык: Английский

Assessing the Accuracy, Completeness and Safety of ChatGPT-4o Responses on Pressure Injuries in Infants: Clinical Applications and Future Implications DOI Creative Commons

Marica Soddu,

Andrea De Vito, Giordano Madeddu

и другие.

Nursing Reports, Год журнала: 2025, Номер 15(4), С. 130 - 130

Опубликована: Апрель 14, 2025

Background/Objectives: The advent of large language models (LLMs), like platforms such as ChatGPT, capable generating quick and interactive answers to complex questions, opens the way for new approaches training healthcare professionals, enabling them acquire up-to-date specialised information easily. In nursing, they have proven support clinical decision making, continuing education, development care plans management cases, well writing academic reports scientific articles. Furthermore, ability provide rapid access can improve quality promote evidence-based practice. However, their applicability in practice requires thorough evaluation. This study evaluated accuracy, completeness safety responses generated by ChatGPT-4 on pressure injuries (PIs) infants. Methods: January 2025, we analysed 60 queries, subdivided into 12 main topics, PIs questions were developed, through consultation authoritative documents, based relevance nursing potential. A panel five experts, using a 5-point Likert scale, assessed ChatGPT. Results: Overall, over 90% ChatGPT-4o received relatively high ratings three criteria with most frequent value 4. when analysing topics individually, observed that Medical Device Management Technological Innovation lowest accuracy scores. At same time, Scientific Evidence had No rated completely incorrect. Conclusions: has shown good level addressing about ongoing updates integration high-quality sources are essential ensuring its reliability decision-support tool.

Язык: Английский

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