© 2019 by EvidNet Inc. 

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    EvidNet build up an ecosystem of converged global healthcare big data using standardized clinical data of hospital through our platform

    Realizing our vision to enhance interoperability, connectivity and standardization of disparate healthcare data, EvidNet is revolutionizing the way medical researchers generate evidence translatable to clinical practice through the establishment of a fully interoperable, seamless, real-time integrated healthcare data network, ultimately benefiting health professionals and patients.

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    BACKGROUND FOR ESTABLISHMENT

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    Technical support based 

    on expert personnel and organizations

    • IT resources focused on supporting

    hospital care 

    • β€‹β€‹Difficulty in professional technical support for CDM

    Enable continuous transformation/operation of hospital data

    • Periodic Up Data of Hospital Clinical Data

    • Ongoing data transformation

    / management difficulties

    Building a Sustainable 

    Circulation

    Platform System

    • Academic Approach Limits in Multi-organization Ecosystem

    • Lack of an academic/industrial 

    shared model

    μ—λΉ„λ“œλ„·

    VISION

    To be the leader of innovated medical ecosystem through integration of distributed bio-health big data networks

    Largest Data Ecosystem in

    the Asia-Pacific Region

    through establishment of

    a 50M national scale bio-clinical

    data sharing platform

    Build a Bio-Health

    Big Data Platform Hub

    for the Asia-Pacific Region

    Incubate Multiple Business Clusters through

    EvidNet's Data Ecosystem

    Advance and innovate medical services

    Create healthcare business opportunities

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    WHAT WE DO

    Honoring OHDSI's philosophy, EvidNet is actively involved in spreading the OMOP CDM throughout South Korea and the Asia-Pacific region.

    Through our data ecosystem, we strive to accelerate innovative medical services and groundbreaking healthcare business opportunities.

    Apr
    Jan

    2017

    2018

    2019

    Jan
    Technology Transfer from Ajou University
    "Implementation of
    Bio Health Big Data Services"
    Ministry of Trade, Industry and Energy
    Participation in Government Project
    "Development of an Integrated CDM-Based
    Distributed Health Data Network"
    Dec
    CDM Conversion And Operation Management
    2019 CDM, Expansion of CDM Conversion
    and Operation Management
    EvidNet Founded
    Nov
    2017.11   I

    Establish an Evidnet

    2018.01   I

    "Implementing Bio Health Big Data Services"  

    Technology transfer

    2018.04  I

    Ministry of Trade, Industry and Energy

    Participate in the task of “Distributed Bio based on the predecessor common data model

    Development of a technology for building a health data network”

    2018.04  I

    CDM Conversion and Operation Management

    • AjouUniversity Hospital

    • KangdongSacred Heart Hospital

    • Gangwon National University Hospital

    • Kyungpook Nation University Hospital

    • Kyungpook National University MedcalCenter

    • National Health Insurance Service IlsanHospital

    • Pusan National University Hospital

    • EwhaWomansUniversity Medical Center

    • ChonbukNational University Hospital

    • WonkwangUniversity Hospital

    2019.01   I

    2019 CDM

    Second CDM Conversion, Operation and expansion

    Expansion of CDM Conversion and Operation Management 

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    BACKGROUND

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    CDM NECESSITY

    Sharing of ‘EVIDENCE’, not ‘DATA’

     Only share data analysis results through data standardization

    Hospital clinical data remain within hospital premises

    Common Data Model

     

     

       

    • No leaking of sensitive 

    personal information

    ​

    • Integrated analysis of

    data from multiple sites

    ​

    • Same query code for

    all sites

    Hospital C

    Query

    Query

    Result

    Result

    Result

    Reanalysis of results

    Query

    Hospital A

    Hospital B

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    EvidNet founded to overcome the issues of sharing medical data for innovative clinical big data research and improve the quality of medical treatment. 

    HUMAN NATURE ISSUES

    • Fear of data being used against oneself

    • Data owners unwilling to share their data

    TECHNICAL ISSUES

    • Heterogeneity of data structure / format

    • Quality and quantity of data

    • Technical limits

    LEGAL ISSUES

    • Personal Information Protection Act

    • Consent from related organizations

    Difficulties and Limits

    in Sharing Data Between Hospitals

    CDM CONVERSION PROCESS

    Convert in a consistent way through the designed interface table and the visualization of the CDM conversion flow facilitates data validation.

    Transfer of Target Data
    Verification of Target Data Quality
    Column Mapping of Target Data to CDM
    Automation of CDM Conversion Process
    OMOP CDM
    Verification of CDM Data Quality
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    FeederNet  PLATFORM

    DATA PLATFORM

    Health big-data platform development based on Common Data Model (OMOP-CDM) to help innovating health service and system, accelerating real-world data researches across the federated data network of EvidNet

    COMMON DATA MODEL

    VOCABULARY MAPPING  MODEL

    DATA ANALYTICS

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    HEALTH  BIG DATA  PLATFORM

    We convert clinical data of multiple hospitals into standardized data format and develop CDM ETL automation tool to increase

    the efficiencyof conversion.

    Query

    Tertiary Hospitals

    Patient Data

    Extensions

    Standardized Health

    Big Data Platform

    Collaboration with

    External Research

    Institutes

    Total Data Quality Management

    Parallel ETL Processing / ETL Automation

    Dedicated CDM Conversion Team and

    Provision of Infrastructure

    Development of Extensions

    Companies

    Result

    Business Models

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    ANALYTICAL SERVICE

    • Converting data of domestic and overseas medical institutions into OMOP-CDM and   other common data models in the same format

    • Utilizing various analytical services desired by companies within big data platform

    Data Mart Building Service

    Data processing commission service for “hospitals, companies, researchers, pharmaceutical firms/ CRO”

    CDM Transformation

    Service

    •CDM transformation service

    •CDM extended modelγ€€transformation service

    ​

    -HW/SW for data

        conversion

    -Data conversion

    -Data quality validation and       quality control

    CDM Extended Model

    •Genomic data

    •Medical image information 

    •PGHD (Patient Generated Health Data)

    •Bio signal

    •Geographic Information System (GIS)

    •Unstructured document data

    •National Emergency Department Information System (NEDIS)

    New Data Integration

    •Data construction service that is not included in OMOP-CDM

     

    β‘  Constructed, unconstructed EMR data

    β‘‘ Institution data such as HIRA/NHIS and National Statistical Office besides 

    hospitals

    β‘’Others

    Consulting

    •CDM transformation service consulting

    •CDM extended model transformation consulting

    •New data integration consulting

    Analysis Support Service

    A platform service to “hospitals, corporations, researchers and pharmaceutical firms/CRO

    Platform

    (Infra)

    •Real World Evidence (RWE) analysis service using platform-based manifold data

    SIT 

    (Sponsor initiated trial)

    •A CDM data analytical service of “hospitals, corporations, researchers and pharmaceutical firms/CRO partners” 

    •Supporting company R&D (pharmaceutical firms or others)

    Offering CDM Expansion Service (3rd party)  

    •Based on data mart and requirements of each enterprise,

    β‘  Clinical trial support service 

    β‘‘ Providing analysis service using 3rdservice tool

    Consulting

    •Platform utilization support service

    •IIT(Investigator initiated trial) Academic analysis research consulting

    •SIT (Sponsor initiated trial) Consulting

    •CDM expansion 3rd service utilization consulting

    •Portfolio design and exploring suitable hospitals before performing clinical research

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    PARTNER NETWORK

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    CONTACT US

    Find us at the office

    2F, 182, Pangyoyeok-ro, Bundang-gu,

    Seongnam-si, Gyeonggi-do, Republic of Korea

    Give us a ring

    T. +82-31-628-5331

    contact@evidnet.co.kr

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