• Industry Status

    Raw Data
    Information scattered across
    different systems
    Low Quality and
    Non-structured Data
    Hard to find research ideas
    Disconnection
    between Hospitals
    Different data standards and
    uneven quality

    Application Value

    Research Idea Discovery
    Integrate data from multiple information systems to establish a patient!s full life-cycle model and help medical researchers actively explore and uncover research ideas focusing on specific disease areas with intelligent recommendations for popular papers
    High Quality and Efficient Research Outputs
    Help healthcare organizations improve the efficiency of data collecting and processing, significantly shorten research cycle with data quality controlled and secured to achieve precision medicine
    Collaborative Network
    of Disease
    Accumulate evidence-based medical knowledge and build disease models; improve research efficiency; work with several medical institutions and build a disease data network
    • Facilitate High
      Quality Research Output

      1. Full data covered to support outcome studies with large sample capacities
      2. Long-term studies
      3. Integration of multiple source to facilitate precision medicine with multi-dimensional evaluation
    • Provide Help for Doctors

      1. Derive analytical insights with the help of advanced analytics capabilities
      2. Intelligent recommendation of relevant popular documents
    • Improve Clinical Diagnosis and Treatment Outcomes

      1. Work with experts to establish disease models and rules for diagnosis
      2. 360° rendering of a patient’s full life cycle data
      3. Patients’ tracking and follow-up visit data included
    • Build Disease Data Networks

      1. Establish disease models with accumulative evidence-based medical knowledge
      2. Enhance research efficiency
      3. Work with renowned healthcare institutions to build research networks and disease registries

    Application Mode

  • Industry Status

    Hard to access the right information due to a complex of data indicators from different systems
    disparate data systems within a hospital, lack of standards

    Application Value

    Insights
    To promote lean management through healthcare technology
    Management
    To improve and monitor management according to specific diseases
    AI-driven
    Predictive models and analytics by integrating data
    • Monitor Operational Indicators

      1. Identify key operational indicators to gain new insights through reviewing old materials
      2. Automatic classification of abnormal indicators
    • Quality Control of Intelligent Medical Data of Disease Cases

      1. Automatic coding support
      2. Intelligent record quality screening
      3. Data result reporting
    • Management of DRG

      1. Disease-oriented performance management system
      2. Analysis and monitoring of clinical development
    • Disease Process Management

      1. Analysis of clinical pathway variation to discover opportunities of improvement
      2. Pathway discovery and improvement and continual optimization of nodes
      3. Efficiency of key process to eliminate process choke points

    Application Mode

  • Industry Status

    Struggle to process data and do surveillance
    Raw data from separate IT systems that can’t unify

    Application Value

    Surveillance services
    Driven by real world data,
    meet regulatory and compliance requirements actively, efficiently
    and cost-effectively to provide decision making supports
    Quality control
    Help governments with interconnection, fusion and
    quality control of multi-sources heterogeneous data, and achieve intelligent medical case
    and drug coding
    Government services
    Accomplish accuracy, transparency, security of monitoring

    Application Mode

  • Industry Status

    Long duration and high cost of
    clinical trials, especially
    for recruitment.
    Uneven quality of trial data.
    Significant difference between actual clinical effects and clinical
    trial results.

    Application Value

    Efficiency

    Based on real-world evidence and clinical data platform.

    Quality

    Based on AI big data technologies, standardize various data from clinical trials to improve its quality.

    Real World Evaluation

    Help customers better understand the real- world disease burden, unmet clinical needs and evolving regulatory trends

    Application Mode

  • Industry Status

    Residents
    Unable to track and manage their
    own health information
    Patients
    Imperfect follow-up visits and diagnosis cause unnecessary development and deterioration of diseases

    Application Value

    Health Record
    Empower authorized users with a full life cycle view of their healthcare history
    Data Interconnection And Data Quality Control
    Full cycle diagnosis & treatment management model for patients with medical treatment alliance and disease based intelligent technologies

    Full life cycle data of patients

    Internal data sharing across hospitals and regions

    Efficient and high-quality follow-up visit management to increase
    user viscosity

    Provide patients with medication reminders, daily health condition report, health-related education, treatment plan elaboration and private doctor follow-ups

    Provide doctors with clinical decision support tools to empower them to provide more precise and personalized clinical diagnosis and services to their patients.

    Aim to provide personalized precision healthcare to patients in a cost-effective manner

    Application Mode