Evidence map›Paper›PMID 37469634›Full record

ArticleBelitung nursing journal2023

Exploring the future of nursing: Insights from the ChatGPT model.

Joko Gunawan

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Belitung nursing journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Expert nurses vs. ChatGPT for postoperative lumbar disk nursing care.Proceedings (Baylor University. Medical Center) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Joko GunawanBelitung Raya Foundation, Manggar, East Belitung, Bangka Belitung, Indonesia.ORCID https://orcid.org/0000-0001-6694-8679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This editorial aims to provide a comprehensive overview of the future of nursing through the lens of the ChatGPT model, a state-of-the-art language processing artificial intelligence (AI) developed by OpenAI. The edited chat transcripts with ChatGPT may offer key trends and developments in nursing, such as the increasing use of technology and digital tools, the integration of AI, and the use of robotics in patient care, as well as insights into the implications of these changes for nurses, patients, and the healthcare system as a whole. However, the future of nursing is continuously evolving. Therefore, nurses need to keep abreast of the latest developments and adapt to them while remaining committed to providing quality care.

Indexed as

artificial intelligenceChatGPTfuture of nursingOpenAIroboticsstate-of-the-art language processing

Identifiers

PMID37469634
PMCPMC10353608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.