Evidence map›Paper›PMID 39399324›Full record

ArticleJournal of multidisciplinary healthcare2024

Development and Implementation of a Pediatric Clinical Teaching Case Library Based on Massive Real-Time Data.

Hongqian Wang, Honghao Peng, Zhiqiang Chen, Wang Yang, Zhifeng Wu, Peng Wang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Hongqian Wang *Medical Big Data and Artificial Intelligence Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, People's Republic of China.
Honghao Peng *Department of Pediatrics, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, People's Republic of China.
Zhiqiang ChenDepartment of Pediatrics, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, People's Republic of China.
Wang YangDepartment of Pediatrics, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, People's Republic of China.
Zhifeng WuDepartment of Pediatrics, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, 400037, People's Republic of China.
Peng WangMedical Big Data and Artificial Intelligence Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the development of information technology, establishing a clinical teaching case library based on vast real-time data resources has become a new educational approach. Nevertheless, a robust theoretical underpinning for harnessing real-time data to enhance clinical education remains elusive. The current body of research frequently falls short of a coherent theoretical structure, and has yet to delve deeply into the intrinsic worth and obstacles that real-time data presents in the educational sphere. Objective: To construct a real-time data resource set for pediatric clinical cases. Methods: This study was conducted within the framework of a university-level medical data center where advanced data de-identification protocols and encryption technologies were employed. The inclusion criteria for cases were determined based on their distinctive clinical characteristics and educational relevance aligning with established curriculum standards. These cases were then incorporated into the case library. To ensure ongoing enrichment and relevance of the pediatric clinical teaching case library, a two-phase evaluation system focused on aspects of Results: This study successfully established a pediatric clinical teaching case library, supported by substantial real-time data. This database has been seamlessly incorporated into various facets of pediatric education, including classroom instruction in Conclusion: This case library provides an authentic and dynamic data foundation for clinical teaching by leveraging a vast repository of real-time clinical data. It not only facilitates access to high-quality educational resources but also promotes the exploration and adoption of interdisciplinary teaching methodologies. Future research should clarify the theoretical foundation for the application of real-time data, fill existing theoretical gaps, and explore its applicability in various educational environments.

Indexed as

case libraryclinical teachingpediatricsreal-time data

Identifiers

PMID39399324
PMCPMC11471076

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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.