C&D Hongai X Kangaroo Cloud: Accelerate the improvement of refined and digital medical and health service capabilities

Xiamen Cianfa Hongai Medical Group Co., Ltd. (referred to as "Cianfa Hongai") was founded in 2022. It is a wholly-owned subsidiary of Xiamen Cianfa Medical Health Investment Co., Ltd. and specializes in medical services in the medical and health field.

C&D Hongai provides people with full life cycle medical and health solutions through its three major sectors: medical, health and industrial services. With medical institutions as the core, we manage and operate Hongai Hospital (tertiary general hospital), Hongai Rehabilitation Hospital (tertiary specialist hospital), Hongai Obstetrics and Gynecology Hospital (tertiary specialist hospital), Hongai Nursing Home and other medical service institutions. ; Focusing on the health industry, we provide health management services and products focusing on prevention and health care; we provide lean full-cycle solutions for various categories of medical supplies through the overall management of various institutions of the "Hongai" medical system.

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With the development of technologies such as big data, cloud computing, 5G, artificial intelligence, and the Internet of Things, the value of digitalization in medical scenarios is increasingly apparent. In order to provide better medical and health services, C&D Hongai has reached a cooperation with Kangaroo Cloud, relying on C&D Group’s big data platform applications to build big data platform computing nodes , integrating the three major business data of Internet alliance platform data, physical examination center and serious medical , based on the large order model, the customer relationship data domain of Internet customers was upgraded, and the CRM capabilities were upgraded. In addition, machine learning intelligent recommendation services and indicator report development functions were developed .

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Compared with the previous CS architecture, the new architecture has new features of batch-flow integration, automated operation and maintenance management, and open source. The batch-stream integrated architecture design can support the needs of a variety of application scenarios; the automated operation and maintenance manager can quickly implement big data product deployment, product upgrades, version rollback, node scaling, log diagnosis, cluster monitoring, real-time alarms and other functions; The platform is based on open source technology, has cloud-native cluster scheduling capabilities , elastically scalable resources, supports cross-cloud deployment, is compatible with EMR platform capabilities, and can reuse cloud servers and computing resources.

The data center will serve as a distribution center for global data aggregation, data processing and data services. After the project is completed, it will unify data fusion, data services and preliminary innovative data applications, and will have data output capabilities and business support capabilities.

Customer relationship data domain based on large order model

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From the perspective of the data life cycle, medical business data is collected, processed and processed uniformly through the data center, and unique IDs are assigned to users according to the rules of "document type + certificate number + encryption algorithm generation", thereby opening up user data in different systems , and in accordance with the concept of the large order model, Hongai built an Internet customer and Internet order data center to form data assets.

The entire big data platform realizes the visualization and unified management of global data assets, intelligent refinement of data standards, dynamic tracking of data lineage , precise control of data security and strict control of data quality, and comprehensive, automated and intelligent management and use data.

CRM capability upgrade based on customer relationship data domain

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Integrate the big data platform as the data base of the CRM system to support the development, upgrade and optimization of CRM system functions, build a medical labeling system , realize label filtering and combination by date and label threshold, generate a customer list with customizable label dimensions, and label customers The group creation and customer group selection functions are embedded in the closed-loop marketing process to track and analyze users. It facilitates the formulation and optimization of marketing and operational strategies, and timely analysis of back-link data , thereby enabling the group to better provide users with full life cycle medical and health solutions.

At present, the first phase of the project has implemented the development of a tag module, which can perform offline and real-time tagging functions on the three major themes of people, objects, and articles, and provides data API services for the CRM customer management module, Yidiantong points module, and package rights .

Machine learning intelligent recommendation service

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Starting from the user center, the physical examination feature model is designed based on the large order model data to provide basic data support for algorithm services and open up the data platform, algorithm services, and application-side data links to form a closed loop.

Through the API form, the platform can provide data services for the business more efficiently, realize data sharing and unified data services , and provide standardized data, business model library and unified data service interfaces for business applications, thereby greatly improving the efficiency of data sharing and promoting the implementation of medical, Operational and other business data are interconnected, breaking down information silos.

Sorting out the indicator system to support refined health services

In response to specific business scenario needs, the project successfully completed the indicator development work for core scenarios including medical business, and realized the development of multiple offline scenario indicators and real-time indicators such as finance, nursing, and operations management , covering key aspects of hospital operations.

Deeply explore and quantify the key elements of business operations. Through in-depth analysis of data, we can accurately grasp multiple dimensions such as the efficiency of use of medical resources, fluctuation patterns of patient flow, and service quality, so as to optimize medical service processes and improve hospital management levels. It provides strong data support and provides accurate, real-time and comprehensive data support for management decision-making.

The construction of this project has effectively reduced the repetitive data construction and chimney construction costs of C&D Hongai, greatly improved the level of data development and process standardization, improved data quality, and provided complete, accurate, and timely high-quality data for each line. Data services realize global data aggregation, data asset construction, data unified services, and the construction of innovative data applications.

"Industry Indicator System White Paper" download address: https://www.dtstack.com/resources/1057?src=szsm

"Dutstack Product White Paper" download address: https://www.dtstack.com/resources/1004?src=szsm

"Data Governance Industry Practice White Paper" download address: https://www.dtstack.com/resources/1001?src=szsm

For those who want to know or consult more about big data products, industry solutions, and customer cases, visit the Kangaroo Cloud official website: https://www.dtstack.com/?src=szkyzg

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