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Zhang Z, Zheng X, An K, He Y, Wang T, Zhou R, Zheng Q, Nuo M, Liang J, Lei J. Current Status of the Health Information Technology Industry in China from the China Hospital Information Network Conference: Cross-sectional Study of Participating Companies. JMIR Med Inform 2022; 10:e33600. [PMID: 35014959 PMCID: PMC8790697 DOI: 10.2196/33600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/09/2021] [Accepted: 11/14/2021] [Indexed: 11/20/2022] Open
Abstract
Background The 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. Objective This 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. Methods The 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. Results A 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. Conclusions China'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.
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Affiliation(s)
- Zhongan Zhang
- Department of Information Center, Affiliated Qingdao Central Hospital, Qingdao University, Qingdao, China
| | - Xu Zheng
- Peking University Third Hospital, Beijing, China.,Center for Medical Informatics, Health Science Center, Peking University, Beijing, China
| | - Kai An
- Peking University Third Hospital, Beijing, China.,Center for Medical Informatics, Health Science Center, Peking University, Beijing, China
| | - Yunfan He
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Tong Wang
- Department of Medical Informatics, School of Public Health, Jilin University, Changchun, China
| | - Ruizhu Zhou
- Department of Applied Mathematics, Northwestern Polytechnical University, Xian, China
| | - Qilin Zheng
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Mingfu Nuo
- Institute of Medical Technology, Health Science Center, Peking University, Beijing, China
| | - Jun Liang
- Information Technology Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jianbo Lei
- Center for Medical Informatics, Health Science Center, Peking University, Beijing, China.,Institute of Medical Technology, Health Science Center, Peking University, Beijing, China.,School of Medical Informatics and Engineering, Southwest Medical University, Luzhou, China
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