© Fraunhofer IME 1

Fraunhofer Medical Data Space (MedDS)

Björn Windshügel

BIG DATA IN HEALTHCARE

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Source: IMI ND4BB, Fraunhofer InfoCentre

The Promise of Big Data in Healthcare

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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

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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

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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

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Source: Industrial Data Space

Industrial Data Space

Started in 2015

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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

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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

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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)

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Source: Fraunhofer ISST

MedDS Use Case Patient Care (ISST)

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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!