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.

BACKGROUND FOR ESTABLISHMENT

Technical support based 

on expert personnel and organizations

• IT resources focused on supporting

hospital care 

• ​​Difficulty in professional technical support for CDM

Enable continuous transformation/operation of hospital data

• Periodic Update 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

에비드넷

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

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 

CDM NECESSITY

Sharing of ‘EVIDENCE’, not ‘DATA’

 Only share data analysis results through data standardization

Hospital clinical data remain within hospital premises

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.

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

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

Companies

Result

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 model　transformation service

​

－HW/SW for data

    conversion

－Data conversion

－Data quality validation and       quality control

Analysis Support Service

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

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.com