ClinBrain Ranked Among Top 10 Most Competitive Healthcare Big Data Platforms and Top 50 Most Influential Health IT Enterprises in 2023

Recently, the “Second Conference on Medical and Health Information Interconnectivity and Smart Hospital Development,” co-organized by the Editorial Office of the Chinese Journal of Health Informatics and Management and the Institute of Medical Informatics at Huazhong University of Science and Technology, was held in Chengdu. Themed “Interconnectivity: Leading New Developments in Smart Hospitals,” the conference focused on the Smart Hospital Demonstration Initiative under the 14th Five-Year Plan for National Health Informatization. It centered on in-depth exchanges and discussions regarding the iterative upgrading of hospital information interconnectivity and the development of smart hospitals, thereby promoting the high-quality development of public hospitals.

At the opening ceremony of the conference, the “2023 Annual List of Influential Healthcare IT Enterprises” was officially released. As a leading enterprise in the field of healthcare informatization, Shanghai ClinBrain Information Technology Co., Ltd. (hereinafter referred to as “ClinBrain”) has been dedicated to providing high-quality digital and intelligent solutions for the past decade. Leveraging its outstanding R&D capabilities and continuous innovation, ClinBrain successfully ranked among the “Top 10 Most Competitive Enterprises in Healthcare Big Data Platforms for 2023.”

This ranking focuses on healthcare big data platform products. Based on publicly available internet data, it constructed a “enterprise-product-hospital” triangular model database. Meanwhile, leveraging the GIS evaluation framework (Growth, Image, Service), it conducted a comprehensive assessment of healthcare IT enterprises and their products across three dimensions: growth potential, brand image, and service capability. Ultimately, ten competitive healthcare big data platform enterprises were selected. ClinBrain was also included in the “Top 50 Most Influential Healthcare IT Enterprises of 2023,” reflecting industry recognition of its strength in overall healthcare solutions and serving as an effective validation of its product capabilities and market competitiveness.

Top 10 Most Competitive Companies in the 2023 Medical and Healthcare Big Data Platform Rankings

Top 50 Most Influential Enterprises in Healthcare IT in 2023

Driven by internal and external factors such as policy evaluations, smart hospital development, and digital transformation, public hospitals have an increasingly urgent need to “achieve data interoperability and unlock the value of data.” What kind of big data platform should hospitals build to meet their data needs in operational management, clinical care, teaching, and scientific research, while addressing the growing complexities and challenges in the healthcare environment?

For many years, ClinBrain has focused on medical big data platforms, information integration platforms, and digital-intelligence application services. Its approach to building big data platforms primarily involves the following aspects:

First, start with top-level design and emphasize overall pathway planning. Guided by the core philosophy of “non-interface, high-quality, and intelligent,” ClinBrain has built a medical big data platform based on an overarching architecture of “4 middle platforms + 1 front-end” (namely, the technology middle platform, data middle platform, AI middle platform, business middle platform, and application front-end).

Overall Architecture of ClinBrain Medical Big Data Platform

Specifically, the “non-interface” approach eliminates the need for interface modifications to any business systems and ensures uninterrupted normal operations by directly extracting and synchronizing data from the underlying databases of these systems. This data then undergoes cleaning, standardization, and governance to build a big data platform. Meanwhile, ensuring “high-quality” data is crucial. The ClinBrain Medical Big Data Platform encompasses a library of over 3,000 data quality rules. By establishing a PDCA (Plan-Do-Check-Act) management process for data quality, it forms a closed-loop system for data quality management, thereby enhancing data quality and providing reliable data support for hospitals. “Intelligence” is reflected in the intelligent applications across various scenarios, including intelligent early warning systems for adverse drug reactions, venous thromboembolism (VTE), nursing adverse events, and operational management, as well as the accumulation of massive intelligent models.

Second, from a technical perspective, we build a solid foundation through the application of information technology innovation. The ClinBrain Medical Big Data Platform offers the following technical advantages: First, it possesses the capability to integrate heterogeneous data from over 500 types of business systems, including HIS, EMR, and LIS. Second, based on a microservices architecture, its data services support full lifecycle management, providing real-time medical business collaboration and real-time data collaboration services. Third, it supports distributed data lakes, with data acquisition and processing enabling unified stream and batch processing (using technologies such as Flink and Spark). Fourth, it meets the requirements for Information Technology Application Innovation (ITAI), supporting various domestically produced servers, operating systems, and databases.

Third, through project implementation, we summarize and update the outcomes and experiences gained. ClinBrain has worked closely with hospitals, successfully deploying its medical big data platform in over 100 large tertiary Grade-A hospitals across China. These include West China Hospital, Ruijin Hospital, Changhai Hospital, Hubei Provincial People's Hospital, Guizhou Provincial People's Hospital, Guangxi Zhuang Autonomous Region People's Hospital, and Shanghai Mental Health Center, among other leading tertiary Grade-A institutions. Leveraging these opportunities, ClinBrain continuously accumulates expertise and insights to enhance the practical value and effectiveness of its medical big data platform, thereby consistently meeting the diverse needs of its users.

In summary, after a decade of deep cultivation and accumulation in the industry, ClinBrain continues to maintain a leading advantage in the field of medical informatics. By leveraging data as its foundation and continuously exploring scenario-based solutions for smart healthcare, it has earned widespread market recognition as well as the trust and support of numerous hospital clients.

Amid the rapid development of the healthcare industry, hospitals need to re-examine their positioning and strategic planning, accelerating the construction of a “trinity” smart hospital to achieve sustainable and high-quality development. In the future, ClinBrain will remain committed to innovation and development, providing hospitals with effective solutions and high-quality services, empowering the construction of hospital interoperability, and contributing to the digital transformation and development of the healthcare industry.

“Chinese Journal of Health Informatics and Management” is the first comprehensive scientific and academic journal dedicated to research and applications in the field of health informatics, approved for establishment by the Ministry of Science and Technology of China and the National Press and Publication Administration. It is currently one of the most authoritative academic journals in the field of health informatics in China. The journal was founded in January 2004, supervised by the Ministry of Health, and sponsored by the Statistical Information Center of the Ministry of Health. It is publicly distributed both domestically and internationally, with China Standard Serial Number ISSN 1672-5166 (International Standard Serial Number) and CN 11-5120/R (Domestic Unified Serial Number).

Established in July 2019 and affiliated with Tongji Hospital, the Institute of Informatics Medicine at Huazhong University of Science and Technology aims to further strengthen the university’s interdisciplinary disciplines in medicine and engineering, and to promote research, technology transfer, and clinical applications in the field of medical informatics. Unlike medical informatics, which focuses on the digitization and automated processing and analysis of medical data, informatics medicine places greater emphasis on the standardization and normalization of medical information, as well as the validation and evaluation of related systems.