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© Fraunhofer IME 1
Fraunhofer Medical Data Space (MedDS)
Björn Windshügel
BIG DATA IN HEALTHCARE
© Fraunhofer IME 2
Source: IMI ND4BB, Fraunhofer InfoCentre
The Promise of Big Data in Healthcare
© Fraunhofer IME 3
Our Experience in Big Data
Source: IMI ND4BB, Fraunhofer InfoCentre
IMI TRANSLOCTION
Molecular basis of the bacterial cell wall permeability
Information centre for pre-existing and on-going antibacterial research
data
Establish best practices for future antibacterial drug discovery
efforts.
5 EFPIA partner
7 SMEs
15 Universities
© Fraunhofer IME 4
A Big Data Space Should Provide Solutions for
Sharing data is uncommon
Resources to include historical data or extract actual data from
different repositories are missing
Funding available for creating new tools, but not for sustainability of
existing tools (e.g. biobanks and databases)
Fragmented data/material storage
Incomplete annotation of data/samples
Missing overview of existing systems; standards are not followed
Education, training & standardization
© Fraunhofer IME 5
Medical Data Space for Building a Trusted Ecosystem
Many Big Data Solutions Realised or on the Horizon
Pharma Industry – Academia
Patients – Clinicians
IT Companies – New Players
Public-Private-Partnerships – Governmental Initiatives
Need for a Trusted Space
Allowing decentralized data sources and data evaluation
Allowing trusted data handling and exchange
Allowing respect of data ownership and privacy
© Fraunhofer IME 6
Source: Industrial Data Space
Industrial Data Space
Started in 2015
© Fraunhofer IME 8
Automotive
Automotive suppliers
Traffic control center
Cities and
municipalities
Production
Automobile
manufacturers
Suppliers
Logistics provider
Commerce
Retail
Consumer industry
Logistics provider
Transport vehicle pools
Location,
Destination
Vehicle data
Traffic data
Transport data
Environmental
data
Product-,
components data
Planning data
Transport status Da
ta /
Me
ta D
ata
P
art
ies involv
ed
New Business Models
New Business Models Based on Different Data Sources
© Fraunhofer IME 9
Basic Principles of xDS
Sovereignty
On Data and Services Trust
Certified Participants
Decentralisation
Federal Architecture
Openness
Neutral and user-driven
Governance
Rules of the game
Scaling
Network effects Network
Platforms and services
Security
Data exchange
© Fraunhofer IME 10
Company A
Internal IDS
Connector
Upload / Download / Search
Internet
Industrial Data Space
Broker
Clearing
Registry Index Apps Vocabulary
Industrial Data Space
App Store
External
IDS
Connector
Upload
Download
Upload / Download
Company B
Internal IDS
Connector
External
IDS
Connector
Third Party
Cloud Provider
Source: Industrial Data Space
Industrial Data Space
Component Architecture Follows Decentralised Design Principles
© Fraunhofer – vertrauliches Dokument
IDS, Use Cases IDS Management
Business Informatics
Data Scientist
Med. Imaging
Data Mining Metabiobank;
Text Mining
Clinical Studies
Industrial Data Space
Medical Data Space
Data Mapping
Use cases
Fraunhofer Competencies Around the MedDS
© Fraunhofer – vertrauliches Dokument
Medical Data Space
Broker
Clearing
RegistryIndex
Upload / Download / Search
Internet
Request
Data Scientist
Internal MDS
Connector
Biobank
Internal MDS
Connector
Partner A
Internal MDS
Connector
Partner B
External MDS
Connector
External MDS
Connector
IZI, ITEM
MedDS Use Case Translational Medicine (IME)
© Fraunhofer – vertrauliches Dokument
Source: Fraunhofer ISST
MedDS Use Case Patient Care (ISST)
© Fraunhofer 14
Current Status
Pilot Phase
Definiton and realisation of use cases
MedDS White Paper
Start-up financing by FhG (1 M EUR)
Discussions with JPIAMR, PEW, WT, IMI, etc.
© Fraunhofer 15
Thank You!