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
• ββDifficulty 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
μλΉλλ·
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
β
• Integrated analysis of
data from multiple sites
β
• 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 modelγtransformation service
β
οΌHW/SW for data
conversion
οΌData conversion
οΌData 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
PARTNER NETWORK
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