Evidence map›Paper›PMID 35014959›Full record

ArticleJMIR medical informatics2022

Current Status of the Health Information Technology Industry in China from the China Hospital Information Network Conference: Cross-sectional Study of Participating Companies.

Zhongan Zhang, Xu Zheng, Kai An, Yunfan He, Tong Wang, Ruizhu Zhou, Qilin Zheng, Mingfu Nuo, Jun Liang, Jianbo Lei

Abstract read
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Zhongan Zhang *Department of Information Center, Affiliated Qingdao Central Hospital, Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-1644-5253
Xu Zheng *Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-5523-7177
Kai AnPeking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-9499-9879
Yunfan HeSchool of Public Health, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-5539-5044
Tong WangDepartment of Medical Informatics, School of Public Health, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-4422-6197
Ruizhu ZhouDepartment of Applied Mathematics, Northwestern Polytechnical University, Xian, China.ORCID https://orcid.org/0000-0002-3748-3806
Qilin ZhengDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0001-6859-6398
Mingfu NuoInstitute of Medical Technology, Health Science Center, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-6929-7311
Jun LiangInformation Technology Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0551-6706
Jianbo LeiCenter for Medical Informatics, Health Science Center, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-1744-0235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe China Hospital Information Network Conference (CHINC) is one of the most influential academic and technical exchange activities in medical informatics and medical informatization in China. It collects frontier ideas in medical information and has an important reference value for the analysis of China's medical information industry development.

objectiveThis study summarizes the current situation and future development of China's medical information industry and provides a future reference for China and abroad in the future by analyzing the characteristics of CHINC exhibitors in 2021.

methodsThe list of enterprises and participating keywords were obtained from the official website of CHINC. Basic characteristics of the enterprises, industrial fields, applied technologies, company concepts, and other information were collected from the TianYanCha website and the VBDATA company library. Descriptive analysis was used to analyze the collected data, and we summarized the future development directions.

resultsA total of 205 enterprises officially participated in the exhibition. Most of the enterprises were newly founded, of which 61.9% (127/205) were founded in the past 10 years. The majority of these enterprises were from first-tier cities, and 79.02% (162/205) were from Beijing, Zhejiang, Guangdong, Shanghai, and Jiangsu Provinces. The median registered capital is 16.67 million RMB (about US $2.61 million), and there are 35 (72.2%) enterprises with a registered capital of more than 100 million RMB (about US $15.68 million), 17 (8.3%) of which are already listed. A total of 126 enterprises were found in the VBDATA company library, of which 39 (30.9%) are information technology vendors and 57 (45.2%) are application technology vendors. In addition, 16 of the 57 (28%) use artificial intelligence technology. Smart medicine and internet hospitals were the focus of the enterprises participating in this conference.

conclusionsChina's tertiary hospital informatization has basically completed the construction of the primary stage. The average grade of hospital electronic medical records exceeds grade 3, and 78.13% of the provinces have reached grade 3 or above. The characteristics are as follows: On the one hand, China's medical information industry is focusing on the construction of smart hospitals, including intelligent systems supporting doctors' scientific research, diagnosis-related group intelligent operation systems, and office automation systems supporting hospital management, single-disease clinical decision support systems assisting doctors' clinical care, and intelligent internet of things for logistics. On the other hand, the construction of a compact county medical community is becoming a new focus of enterprises under the guidance of practical needs and national policies to improve the quality of grassroots health services. In addition, whole-course management and digital therapy will also become a new hotspot in the future.

Indexed as

China Hospital Information Network Conferencecounty medical communitycross-sectional studydigital therapeutichealth carehospital informationindustry analysisinformation networkmedical informaticsmedical informationsmart hospitaltertiary hospital

Identifiers

PMID35014959
PMCPMC8790697

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.