Evidence map›Paper›PMID 39365643›Full record

ArticleJournal of medical Internet research2024

Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT.

Xingang Li, Heng Guo, Dandan Li, Yingming Zheng

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Xingang LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6726-9571
Heng GuoDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0009-0000-1982-9722
Dandan LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-1082-4623
Yingming ZhengDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-6721-923X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital pharmacy plays an important role in ensuring medical care quality and safety, especially in the area of drug information retrieval, therapy guidance, and drug-drug interaction management. ChatGPT is a powerful artificial intelligence language model that can generate natural-language texts. Here, we explored the applications and reflections of ChatGPT in hospital pharmacy, where it may enhance the quality and efficiency of pharmaceutical care. We also explored ChatGPT's prospects in hospital pharmacy and discussed its working principle, diverse applications, and practical cases in daily operations and scientific research. Meanwhile, the challenges and limitations of ChatGPT, such as data privacy, ethical issues, bias and discrimination, and human oversight, are discussed. ChatGPT is a promising tool for hospital pharmacy, but it requires careful evaluation and validation before it can be integrated into clinical practice. Some suggestions for future research and development of ChatGPT in hospital pharmacy are provided.

Indexed as

Pharmacy Service, HospitalArtificial IntelligenceHumansNatural Language ProcessingChatGPTdrug informationdrug interactiondrug therapyhospital pharmacyinnovationmedical care qualitynatural language processingpharmaceutical carepharmacyqualitysafetyscientific researchtool

Identifiers

PMID39365643
PMCPMC11489799

What OpenQuestion holds

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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.