Evidence map›Paper›PMID 36733469›Full record

ArticleHealth information science and systems2023

Design and development of a disease-specific clinical database system to increase the availability of hospital data in China.

Mimi Liu, Jinni Luo, Lin Li, Xuemei Pan, Shuyan Tan, Weidong Ji, Hongzheng Zhang, Shengsheng Tang, Jingjing Liu, Bin Wu and 3 more

Open access · greenAbstract read
In one paragraph

Article in Health information science and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

13 authors at 4 institutions in 4 countries.

Mimi LiuZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Jinni LuoGastroenterology Department, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China.
Lin LiZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Xuemei PanGastroenterology Department, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China.
Shuyan TanGastroenterology Department, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China.
Weidong JiZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Hongzheng ZhangZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Shengsheng TangZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Jingjing LiuZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.
Bin WuGastroenterology Department, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China.
Zebin ChenCenter of Hepato-Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong China.
Xiaoying WuGastroenterology Department, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong China.
Yi ZhouZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong China.ORCID 0000-0002-4774-2234
Amsterdam Neuroscience · NLBritish Library · GBUniversidad de Granada · ESUniversity of Colorado Boulder · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In order to meet restrictions and difficulties in the development of hospital medical informatization and clinical databases in China, in this study, a disease-specific clinical database system (DSCDS) was designed and built. It provides support for the full utilization of real world medical big data in clinical research and medical services for specific diseases. Methods: The development of DSCDS involved (1) requirements analysis on precision medicine, medical big data, and clinical research; (2) design schematics and basic architecture; (3) standard datasets of specific diseases consisting of common data elements (CDEs); (4) collection and aggregation of specific disease data scattered in various medical business systems of the hospital; (5) governance and quality improvement of specific disease data; (6) data storage and computing; and (7) design of data application modules. Results: A DSCDS for liver cirrhosis was created in the gastrointestinal department of a 3A grade hospital in China and had more than nine data application modules. Based on this DSCDS, a series of clinical studies are being carried out, such as retrospective or prospective cohorts, prognostic studies using multimodal data, and follow-up studies. Conclusion: The development of the DSCDS for liver cirrhosis in this paper provides experience and reference for the design and development of DSCDSs for other specific diseases in China; it can even expand to the development of DSCDSs in other countries if they have the demand for DSCDS and the same or better medical informatization foundation. DSCDS has more accurate, standard, comprehensive, multimodal and usable data of specific diseases than the general clinical database system and clinical data repository (CDR) and provides a credible data foundation for medical research, clinical decision-making and improving the medical service quality of specific diseases. Supplementary Information: The online version contains supplementary material available at 10.1007/s13755-023-00211-4.

Indexed as

Clinical data aggregationClinical databaseClinical data repositoryDisease datasetDisease-specific clinical database systemLiver cirrhosisMedical big data

Identifiers

PMID36733469
PMCPMC9886700
OpenAlexW3157846525

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.