Case Background

In view of the recent pandemic outbreak, it is prone to problems such as high misdiagnosis rates, inadequate reporting and delay in data are prone to occur, which makes an early detection of infectious diseases difficult.

As a result, BaseBit has launched an integrated solution centred on a big data platform for the prevention and monitoring of infectious diseases.

By utilizing functions such as intelligent diagnoses, infectious disease risk warnings, and data reporting, combined with clinical data, location tracking data, demographic data, and other data types, Pathfinder's EMR system creates a regional big data platform for disease prevention and control. The platform provides local emergency operation centres with treatment plans and their subsequent evaluations, hotspot analyses for potential patients, detection of close contacts, and tracing of high-risk populations.
Challenges to the prevention and control of COVID-19
The control measures required to prevent and control infectious diseases vary widely from region to region, making it difficult to detect infectious diseases in the early stages of an epidemic, which leads to high rates of missed diagnosis and incomplete and delayed reporting of infectious disease data.
  • How to find the source of infection?
  • How to predict the route of transmission?
  • How to verify the route of infection, mode of transmission, and find suspected cases?
  • How to conduct epidemiological studies, and establish models for unknown infectious diseases?
  • How to achieve accurate control and precise management?
Our Solution:A Big Data Platform for Infectious Disease Prevention and Monitoring
Data Collection | Early Detection
Establishing a multi-point trigger monitoring network and a data platform for disease control.
Data Collaboration | Privacy Protection
Establishing a mechanism for data collaboration.
Technical Algorithms | Targeted monitoring
Realizing the application of infectious disease prevention, control and research.
With the use of Privacy Computing and AI,
we enable the usage of data from multiple sources to generate a
sophisticated and dynamic network for infectious disease monitoring.
With the use of Privacy Computing and AI, we enable the usage of data from multiple sources to generate a sophisticated and dynamic network for infectious disease monitoring.
Multi-Channel Surveillance Mechanism
Multi-Point Trigger Mechanism
Multi-Channel Surveillance Mechanism Multi-Point Trigger Mechanism
Success Story
ZHANG PEI
Chief Expert and Renowned Doctor of Yichang
Center for Disease Control and Prevention

宜昌市卫生健康委员会

Through cutting-edge Big Data, Cloud Computing, Internet of Things (IoT), and AI technologies, a single-network, intelligent warning and monitoring (platform/solution) would be enabled, connecting top-level command to grassroots level with one click. If a public health emergency were to occur, this real-time multi-point trigger and intelligent early warning system would certainly come into play.
  • Health News —— Yichang Case

    Health News —— Yichang Case

    Privacy computing ensure
    the security of healthcare Data

    CAICT & China Internet Healthcare Industry Selected into Benchmark Case of Projects of 「Health Data & Chain Network」
  • Health News —— Yichang Case

    Health News —— Yichang Case

    Privacy computing ensure
    the security of healthcare Data

    China International Big Data Industry Expo 2021「Leading Scientific and Technological Achievement Award」
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