Creating an Intelligent Digital Vaccine

AI Solution for Infectious Disease Prevention,Control and Research
Creating an Intelligent Digital Vaccine
AI Solution for Infectious Disease Prevention,Control and Research
AI Solution for Infectious Disease Prevention,Control and Research

近年来传染性疾病大型事件

非典-SARS

2002年发生
感染人数:8422
死亡人数:919

甲型H1N1

2009年发生
感染人数:9830
死亡人数:79

新型冠状病毒-COVID-19

2019年发生
感染人数:581w+
死亡人数:36w+

Challenges to the prevention and control of unknown infections

Objective threat of a sudden outbreak of novel diseases

In the past decade, there has been a sudden outbreak of novel infectious disease every 1 or 2 years
High population mobility leads to high risk of spreading disease

Objective defects of current infectious disease prevention and control system

The containment measures needed for prevention and control of infectious diseases varies greatly across different regions, therefore the basic level of measures are insufficient
It is difficult to detect infectious diseases in the early stages of an epidemic, which leads to a high rate of missed diagnoses
The reporting of infectious diseases data are incomplete and lagging behind

Challenges in the current system of infectious disease prevention and control

How to find the source of infection?
How to predict the route of transmission?
How to conduct epidemiological studies, and establish models for unknown infectious diseases?
How to verify the route of infection, mode of transmission, and find suspected cases?
How to achieve accurate control and precise management?
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Challenges to the prevention and control of unknown infections

Objective threat of a sudden outbreak of novel diseases

In the past decade, there has been a sudden outbreak of novel infectious disease every 1 or 2 years
High population mobility leads to high risk of spreading disease

Objective defects of current infectious disease prevention and control system

The containment measures needed for prevention and control of infectious diseases varies greatly across different regions, therefore the basic level of measures are insufficient
It is difficult to detect infectious diseases in the early stages of an epidemic, which leads to a high rate of missed diagnoses
The reporting of infectious diseases data are incomplete and lagging behind

Challenges in the current system of infectious disease prevention and control

How to find the source of infection?
How to predict the route of transmission?
How to conduct epidemiological studies, and establish models for unknown infectious diseases?
How to verify the route of infection, mode of transmission, and find suspected cases?
How to achieve accurate control and precise management?

Precise geographic information + privacy security computing + application of artificial intelligence in the healthcare system

For research on the prevention and control of infectious diseases, BaseBit launched an integrated solution which is centered on a data platform for disease control. In community hospitals, and secondary and tertiary hospitals, Pathfinder's intelligent diagnosis, infectious disease risk warning, and data reporting functions powers the electronic medical record system for clinical diagnosis. The regional big data platform for disease control and prevention is based on this EMR system in combination with clinical data, location tracking data, demographic data, and other types of data. This platform provides the local emergency operations center with services such as the discovery and evaluation of diagnosis and treatment plans, hotspot analysis for suspected patients, detection of close contacts, and tracing the spread of high-risk populations.

Precise geographic information + privacy security computing + application of artificial intelligence in the healthcare system

For research on the prevention and control of infectious diseases, BaseBit launched an integrated solution which is centered on a data platform for disease control. In community hospitals, and secondary and tertiary hospitals, Pathfinder's intelligent diagnosis, infectious disease risk warning, and data reporting functions powers the electronic medical record system for clinical diagnosis. The regional big data platform for disease control and prevention is based on this EMR system in combination with clinical data, location tracking data, demographic data, and other types of data. This platform provides the local emergency operations center with services such as the discovery and evaluation of diagnosis and treatment plans, hotspot analysis for suspected patients, detection of close contacts, and tracing the spread of high-risk populations.

Scheme Architecture

Integrating the discovery of accurate geolocation data and close contacts of patients

Discovering groups of vulnerable and suspected cases within the population Finding the source of infection

Establishment of a comprehensive network for the classification, prevention and control of infectious diseases

Epidemiological investigation Predictions using various models

Mechanism with efficient feedback information for the research, prevention and control of infectious diseases

Refining the route of diagnosis and treatment Recommendation of diagnosis and treatment plans

Relying on digital system of infectious disease prevention and control. Building the "Great Wall" of big data.

Accurate prevention and control of infectious diseases , dynamic prevention and control of infectious diseases , effective prevention and controlof infectious diseases

Scheme Architecture

Integrating the discovery of accurate geolocation data and close contacts of patients

Discovering groups of vulnerable and suspected cases within the population Finding the source of infection

Establishment of a comprehensive network for the classification, prevention and control of infectious diseases

Epidemiological investigation Predictions using various models

Mechanism with efficient feedback information for the research, prevention and control of infectious diseases

Refining the route of diagnosis and treatment Recommendation of diagnosis and treatment plans

Relying on digital system of infectious disease prevention and control. Building the "Great Wall" of big data.

Accurate prevention and control of infectious diseases , dynamic prevention and control of infectious diseases , effective prevention and controlof infectious diseases

Disease Prevention,Control and Research

    • Prevention
    • Extraction of symptoms based on structuralization of medical records
      Early warning of emerging infectious diseases
      Recommendations for targeted referral of infectious diseases
      Network for direct reporting and linkage mechanism
    • Control
    • Real-time data acquisition
      Establish a mechanism for data collaboration
      Early warning, tracing and analysis of infectious diseases
      Accurately locate the close contacts of patients
    • Research
    • Data multimodality
      Authorized use of privacy security computing
      Application opening
      Support various research collaboration platforms

Disease Prevention,Control and Research

    • Prevention
    • Extraction of symptoms based on structuralization of medical records
      Early warning of emerging infectious diseases
      Recommendations for targeted referral of infectious diseases
      Network for direct reporting and linkage mechanism
    • Control
    • Real-time data acquisition
      Establish a mechanism for data collaboration
      Early warning, tracing and analysis of infectious diseases
      Accurately locate the close contacts of patients
    • Research
    • Data multimodality
      Authorized use of privacy security computing
      Application opening
      Support various research collaboration platforms

Application Scenarios

Government

City

Disease Control

Hospital

Application Scenarios

Government

City

Disease Control

Hospital

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