MARTIN BØGSTED

AALBORG UNIVERSITY

AALBORG UNIVERSITY HOSPITAL

PUBLIC-PRIVATE RESEARCH

COLLABORATION IN THE AREA OF

PERSONALIZED MEDICINE

PUBLIC-PRIVATE COLLABORATION IN THE

AREA OF INFRASTRUCTURE, IT, AND

INFORMATION/CYBER SECURITY

WHAT IS PERSONALIZED MEDICINE

• Personalized medicine is a treatment where one, by e.g. genetic information, can tailor

treatment to the individual patients

Danish Regions

• Three questions:

• What parameters are we tailoring after?

• When is the tailoring a success?

• What is “genetic information”?

LET US BE CONCRETE

• Research possibilities:

• Dynamic prediction based on simple covariates.

• Results of the clinical quality databases (RKKP)

• Dynamic prediction of treatment course from genomic

and clinical data (precision medicine)

• Immediate clinical application

• Request DNA-seq

• Compare with

• Existing clinical guidelines (evidence-based)

• International data sharing (evidence-based)

• Approval by Sundhedsstyrelsen

• Immediate recruitment to clinical trials

Jakobsen et al., 2016, JCO

Klinik

Fælles

Genom-

bank

Kliniske

data

ForskningCPR

INFRASTRUCTURERELAPSE PROJECT, AALBORG UNIVERSITY HOSPITAL

MOTIVATION

• We need private-public partnerships in order to:

• Improve health care outcome in a cost-effective

way

• Obtain academic excellence

• Utilize Danish health care as an export asset

• Increase number of workplaces

• How do we secure the right balance between

private and public?

HARDWARE

• Background: Investment and development of IT

infrastructure (network, storage, and computing

power)

• RD: Secure cloud computing, distributed

computing, …

• Main message: Massive investments are needed

in infrastructure in the health care sector

• Question: Should we outsource totally or partially,

i.e. public/private cloud solutions?

SOFTWARE

• Background:

• We need novel user interfaces, e.g.: electronic health

records, sundhed.dk

• Clinical decision support systems

• Data sharing methods and algorithms

• Integration of public and privately owned data

• RD: User interaction designs, efficient storing of temporal data,

outcome predictions from complex temporal patient data

• Main message: Private companies can utilize lack of

consensus in the public sector.

• Question: How do we secure open systems, so

software/knowledge developed in public-private partnerships

belongs to the public?

INFORMATION SECURITY

• Background:

• Why this fuss about information security – isn’t the

private sector used to handling sensitive information?

• Yes, but personalized medicine is different, take for

example heritable diseases.

• RD: Secure cloud computing, secure distributed

computing

• Main message: We are dealing with data at a deeper

level of personal sensitivity!

• Question: How do we secure public data entering

public-private partnership?

SUMMARY

• Infrastructure

• Main message: Massive investments are needed in infrastructure in the health care sector

• Question: Should we outsource totally or partially, i.e. public/private cloud solutions?

• Software

• Main message: Private companies can utilize lack of consensus in the public sector

• Question: How do we secure open systems, so software/knowledge developed in public-

private partnerships belongs to the public?

• Information security

• Main message: We are dealing with data at a deeper level of personal sensitivity!

• Question: How do we secure public data entering public-private partnership?

CONTACT INFORMATION

Martin Bøgsted

Professor in Bioinformatics and Statistics

Tel.: +45 5092 5639

Email: mboegsted@dcm.aau.dk

URL: goo.gl/XnVwMG

AALBORG UNIVERSITY

Department of Clinical Medicine

AALBORG UNIVERSITY HOSPITAL

Department of Haematology

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