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 

 

BACKGROUND

 
 

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

 

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
 

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

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

 
 

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

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

 

① Constructed, unconstructed EMR data

② Institution data such as HIRA/NHIS and National Statistical Office besides 

hospitals

③Others

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,

① Clinical trial support service 

② 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

 
 
 
 

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

© 2019 by EvidNet Inc.