The document discusses the driver of the healthcare system in the 21st century. It describes how patients, clinicians, and researchers interact and how their interactions will change. It also discusses the challenges of distributed and heterogeneous healthcare data sources, and proposes approaches like in-memory databases and real-time analysis of big medical data to address these challenges. Specific examples discussed include analyzing genomes and creating a medical knowledge cockpit to link patient specifics with international healthcare knowledge.
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Real-world Healthcare Apps in Big Data Era
1. The Driver of the Healthcare System in the 21st Century:
Real-world Application Examples
Dr. Matthieu-P. Schapranow
2016 Telematics Conference, Potsdam
Feb 24, 2016
2. ■ Patients
□ Individual anamnesis, family history, and background
□ Require fast access to individualized therapy
■ Clinicians
□ Identify root and extent of disease using laboratory tests
□ Evaluate therapy alternatives, adapt existing therapy
■ Researchers
□ Conduct laboratory work, e.g. analyze patient samples
□ Create new research findings and come-up with treatment alternatives
Healthcare Interactions in the 21st Century
Schapranow, Telematics
Conference, Feb 24,
2016
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The Driver of the
Healthcare System in
the 21st Century
3. Healthcare Interactions in the 21st Century
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2016
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Healthcare System in
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Indirect Interaction
Direct Interaction
C linician PatientResearcher
Pharm aceutical
Com pany
H ealthcare
Providers
H ospital
Research
Center
Laboratory
Patient
Advocacy
G roup
4. IT Challenges
Distributed Heterogeneous Data Sources
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Human genome/biological data
600GB per full genome
15PB+ in databases of leading institutes
Prescription data
1.5B records from 10,000 doctors and
10M Patients (100 GB)
Clinical trials
Currently more than 30k
recruiting on ClinicalTrials.gov
Human proteome
160M data points (2.4GB) per sample
>3TB raw proteome data in ProteomicsDB
PubMed database
>23M articles
Hospital information systems
Often more than 50GB
Medical sensor data
Scan of a single organ in 1s
creates 10GB of raw dataCancer patient records
>160k records at NCT
The Driver of the
Healthcare System in
the 21st Century
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Conference, Feb 24,
2016
5. Schapranow, Telematics
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2016
Our Approach
Analyze Genomes: Real-time Analysis of Big Medical Data
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In-Memory Database
Extensions for Life Sciences
Data Exchange,
App Store
Access Control,
Data Protection
Fair Use
Statistical
Tools
Real-time
Analysis
App-spanning
User Profiles
Combined and Linked Data
Genome
Data
Cellular
Pathways
Genome
Metadata
Research
Publications
Pipeline and
Analysis Models
Drugs and
Interactions
The Driver of the
Healthcare System in
the 21st Century
Drug Response
Analysis
Pathway Topology
Analysis
Medical
Knowledge CockpitOncolyzer
Clinical Trial
Recruitment
Cohort
Analysis
...
Indexed
Sources
6. Integrated Processing and Real-time Analysis of Genome
Data in the Clinical Routine
■ Control center for processing of raw DNA data, such as
FASTQ, SAM, and VCF
■ Personal user profile guarantees privacy of uploaded
and processed data
■ Supports reproducible research process by storing all
relevant process parameters
■ Implements prioritized data processing and fair use, e.g.
per department or per institute
■ Supports additional service, such as data annotations,
billing, and sharing for all Analyze Genomes services
■ Honored by the 2014 European Life Science Award
The Driver of the
Healthcare System in
the 21st Century
Standardized Modeling and
runtime environment for
analysis pipelines
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2016
7. ■ Query-oriented search interface
■ Seamless integration of patient specifics, e.g. from EMR
■ Parallel search in international knowledge bases, e.g. for biomarkers, literature,
cellular pathway, and clinical trials
Medical Knowledge Cockpit for Patients and Clinicians
Linking Patient Specifics with International Knowledge
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2016
8. ■ Integrated systems medicine based on real-time analysis of healthcare data
■ Initial funding period: Mar 2015 – Feb 2018
■ Funded consortium partners:
Systems Medicine Model of Heart Failure (SMART)
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Conference, Feb 24,
2016
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Healthcare System in
the 21st Century
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Heart
Failure
Sleeping
disorder
Fibrosis
Blood
pressure
Blood
volume
Gene ex-
pression
Hyper-
trophyCalcium
meta-
bolism
Energy
meta-
bolism
Iron
deficiency
Vitamin-D
deficiency
Gender
Epi-
genetics
9. ■ Interdisciplinary partners collaborate on enabling real-time healthcare research
■ Initial funding period: Aug 2015 – July 2018
■ Funded consortium partners:
□ AOK
German healthcare insurance company
□ data experts group
Technology operations
□ Hasso Plattner Institute
Real-time data analysis, in-memory database technology
□ Technology, Methods, and Infrastructure for Networked Medical Research
Legal and data protection
Smart Analysis Health Research Access (SAHRA)
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10. ■ Online: Visit we.analyzegenomes.com for latest research
results, slides, videos, tools, and publications
■ Offline: Read more about it, e.g.
High-Performance In-Memory Genome Data Analysis:
How In-Memory Database Technology Accelerates Personalized Medicine,
In-Memory Data Management Research, Springer,
ISBN: 978-3-319-03034-0, 2014
■ In Person: Join us for “Cebit 2016” March 14-20, 2016 in Hanover, Germany
Where to find additional information?
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11. Keep in contact with us!
Dr. Matthieu-P. Schapranow
Program Manager E-Health & Life Sciences
Hasso Plattner Institute
August-Bebel-Str. 88
14482 Potsdam, Germany
schapranow@hpi.de
http://we.analyzegenomes.com/
Schapranow, Telematics
Conference, Feb 24,
2016
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Healthcare System in
the 21st Century
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