Big data changing lives

Floortje Scheepers, MD PhD, head of the department of Psychiatry UMC Utrechtbig data expo 21 september 2016

Volume

velocityvalu€

veracity

variety

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What is changing?

Egge vd Poel, datascientist, Erasmus

Patient citizen

Doctor ICT

treatment Based on TrialsBased on clinical intelligence

data explosion

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Exposome

Genome

Microbiome

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• Sensordata

• Data and user driven science and patient empowerment

• risk profiling based on normative models in stead of causality

• (complex) models and analytics

• P4 medicine (predictive, preventive, personalized, participating)

• Combining domains!!

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From ‘big’ to one and back

Symptoms Brain function Genes

What do we know about the disturbed mind?

1. DSM was born 1952

schizophrenia mania depression Autism

2. Investigating the brain

Structure Activity Function

3. Investigating genes

4. EPI-genetics

5. Vulnerability versus resilience

1. Selection bias: ‐ severe patients not included‐ Co-morbidity not included

2. Brain changes over time:‐ Brain plasticity/adaptation‐ Effect of development‐ Effect of medication

3. Environmental influences changes over time!

4. Results overlap, don’t stick to classification

Problems current research to overcome

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Research vs real life

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Governance

 

National data like psychiatric (Nemesis) and healthy (CBS)

Regional data like psychiatric (casusregister) and healthy (municipal/youth cohort) 

All psychiatric patients of one local hospital

individual psychiatric

patient profile

collectIntegrate

Explore

Analyse

Research Data Platform (RDP)

Lokale opslag

RDP Python Jupyter Excel

SynerScope Postgres

SynerScope R

PseudonymisePrepare

apply

Applications

Two different worlds meet

Hackathons

Aanpak

From descriptive through predictive to prescriptive…

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themes• Medication use (short acting vs long acting)

• Aggression (prediction models; written notes in EPF)

• Duration of submission (blue, green)

• Wearables (stress level, activity, sleep)

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New problems to overcome

• FAIR (findable, accessible, interoperable, re-usable)

• Privacy, ownership• From molecular to system level to organism level• Data storage and processing• Management and analytics (error correction,

normalization, mathematical modelling, computational simulation)

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Compute visits the data → mental health consortium

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Aggregation/conclusion algorithms on serial/parallel analyses of (encrypted) datasets → norm profiles replicate/validate

2020: A patient is referred to the hospital

The psychiatric fingerprint is already known

Enough time for a personal conversation about needs

A personalized diagnose and treatment plan

Questions?