Dragonfruit Tech Files IPO Prospectus: Empowering Tertiary Hospitals with Big Data-Driven Quality Control Cloud Platform

China’s healthcare informatization has been developing for over two decades, yet significant challenges persist at the current stage. On one hand, hospital information systems are diverse and operate in silos, making it difficult to utilize the vast amounts of data they generate. On the other hand, hospitals report very low satisfaction with existing products from IT vendors. Systems such as HIS, EMR, PACS, LIS, ICU, HIP, and ERP all have their respective shortcomings, a common plight across the healthcare informatization industry.

What Do Hospitals Truly Care About? What Is the Core Issue? The Root Cause and Fundamental Problem Lie in Healthcare Quality and Safety.

Over the years, China has been conducting hospital accreditation reviews. In 2016, the Administrative Measures for Medical Quality were issued, requiring hospitals at Level II and above to establish Medical Quality Management Committees and conduct regular inspections of quality and safety-related work. The aim is to promote development and reform through evaluation, integrate evaluation with construction, emphasize core connotations, and achieve continuous improvement. Meanwhile, the Administrative Measures also require hospitals to pursue standardized, scientific, refined, and systematic development.

In this context, a medical IT company named Huolongguo Technology was officially established in 2015. Centering on healthcare big data, the company focuses on the niche sector of healthcare quality. By leveraging technologies such as big data, cloud computing, and artificial intelligence, it provides hospitals with an integrated informatics solution for healthcare quality control—the “Healthcare Quality Control Cloud Platform”—making healthcare quality management simpler and more efficient.

Medical quality is the “lifeline” of hospitals; however, at the level of hospital quality control informatization, IT products related to medical quality and safety that can be effectively implemented remain scarce, for two reasons:

First, there is a disconnect between hospital leadership and management's demand for informatization of quality control and the understanding of those responsible for its specific implementation.

Second, due to the lack of interoperability among information systems, existing systems are unable to support cross-system big data quality control applications, leading to dissatisfaction among hospital management with both the Information Technology Department and IT vendors.

To address these challenges, Huolongguo “translates” data into actionable information for quality control, leveraging big data technologies to drive innovation in healthcare management and services. The result is an interconnected quality supervision platform—the “Medical Quality Control Cloud Platform.”

The metrics of the Medical Quality Control Cloud Platform include subjective and objective indicators. These two types of indicators are directly integrated into the hospital’s standard system and quality control evaluation framework. By establishing a multi-dimensional comprehensive quality assessment, they objectively, authentically, and comprehensively reflect the effectiveness of quality management and control across the entire hospital.

The "12345" Model of the Medical Quality Control Cloud Platform

“12345” is a proprietary model of the Medical Quality Control Cloud Steward. It centers on quality and safety to conduct hospital quality monitoring and evaluation, leveraging information technology to achieve supervisory management and routine control. By integrating management standards, inspection execution, monitoring and evaluation, performance assessment, and continuous improvement, it enables comprehensive, end-to-end, real-time, and all-factor regulatory evaluation and continuous improvement of quality and safety.

In brief, the “12345” model comprises the following components:

One Core: Quality and Safety; Two Goals: Supervision and Control, Routine Management; Three Linkages: Management Standards, Quality Monitoring, Performance Evaluation; Four Dimensions: Comprehensive Coverage, Full-Process, All-Time, All-Elements; Five Methods: Dynamic Monitoring, Real-Time Monitoring, Timely Control, Efficient Management, Quantitative Evaluation; Ultimately supporting the construction of a hospital quality control platform that is standardized, normalized, systematic, scientific, refined, routine, and integrated.

The “Medical Quality Control Cloud Platform” includes systems for accreditation inspection preparation management, a knowledge base for hospital standardization and refined management frameworks, medical complaint and dispute management, medical safety (adverse) event management, hospital quality inspection and assessment, continuous hospital quality improvement, quality indicator analysis and management, and monitoring of hospital-acquired conditions. Among these, the foundational platform is the most critical; these modular systems can be integrated into the foundational platform to achieve interconnected, platform-based applications.

Taking the Medical Quality Inspection, Assessment, and Evaluation System as an example, this system establishes a hospital-wide medical quality evaluation framework to implement quality assessment standards at both the hospital and departmental levels. It schedules and executes quality evaluation tasks on a regular basis. Through routine quality inspections and evaluations, the system automatically aggregates and analyzes evaluation data. By conducting refined assessments and analyses, it focuses on key issues, formulates effective improvement measures based on clear objectives, and establishes daily supervision and accountability mechanisms. The system conducts comprehensive quality assessments for all clinical, nursing, technical, logistical, and administrative staff across the hospital, integrating hospital-wide quality evaluation with continuous improvement. This helps hospitals establish scientific assessment criteria, processes, and templates. With automatic aggregation and analysis of evaluation results, along with refined feedback for rectification and continuous improvement, the system achieves comprehensive medical quality assessment and evaluation involving all business areas, functions, and personnel, laying a solid foundation for large-scale medical services and quality control within the hospital.

Currently, Huolongguo Tech’s products have been adopted by nearly 200 users, including many well-known Grade-A tertiary hospitals in China such as China-Japan Friendship Hospital, Henan Provincial People’s Hospital, the First Hospital of Shanxi Medical University, and the First Affiliated Hospital of Guangxi Medical University.

Lai Jinlin, founder of Huolongguo Technology, stated, “Data security is a concern for users. Our quality control platform is not a data generator but rather a data transporter; it processes data through the platform to transform raw data into information (i.e., useful data).”

According to him, on the one hand, the medical quality control cloud platform adopts a combination of hardware and software technologies to ensure data and business security; on the other hand, it relies on the comprehensive information security management system and security response plans established by the users themselves. The combination of these two aspects can guarantee data security.

According to VCBeat, Huolongguo Technology boasts a powerful think tank team, comprising three presidents of top-tier Grade A tertiary hospitals in China, four expert professors in hospital management, and six heads of quality control departments at provincial- and ministerial-level hospitals.

The company’s core team comprises interdisciplinary talents from medical universities, professionals with computer science backgrounds from South China University of Technology, Sun Yat-sen University, and Zhejiang University, as well as multiple industry experts who have worked for over a decade at renowned enterprises in the medical IT sector. These experts are deeply rooted in the healthcare field and have participated in the formulation of numerous standards and technical solutions for the healthcare information industry.

Lai Jinlin stated, “In the next phase, we will further strengthen our direct sales capabilities, fully leverage resources such as online marketing platforms, industry exhibitions, and hospital management consulting firms to showcase our corporate image across multiple channels, promote the application of our quality control products, and seek more business cooperation opportunities.”