The Driver of the Healthcare System in the 21st Century: Real-world Application Examples
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Transcript of The Driver of the Healthcare System in the 21st Century: Real-world Application Examples
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
■ 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
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The Driver of the Healthcare System in the 21st Century
Healthcare Interactions in the 21st Century
Schapranow, Telematics Conference, Feb 24, 2016
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Ind irect In te raction
D irect In te raction
C lin ic ian P atien tR esearcher
P harm aceu tica lC om pany
H ea lthcareP roviders
H osp ita lR esearch
C enterLabora to ry
P atien tA dvocacy
G roup
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 data Cancer patient records
>160k records at NCT The Driver of the Healthcare System in the 21st Century
Schapranow, Telematics Conference, Feb 24, 2016
Schapranow, Telematics Conference, Feb 24, 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 Cockpit Oncolyzer
Clinical Trial Recruitment
Cohort Analysis
...
Indexed Sources
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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Schapranow, Telematics Conference, Feb 24, 2016
■ 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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Schapranow, Telematics Conference, Feb 24, 2016
■ 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)
Schapranow, Telematics Conference, Feb 24, 2016
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Heart Failure
Sleeping disorder
Fibrosis
Blood pressure
Blood volume
Gene ex-pression
Hyper-trophy Calcium
meta-bolism
Energy meta-bolism
Iron deficiency
Vitamin-D deficiency
Gender
Epi-genetics
■ 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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■ 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?
Schapranow, Telematics Conference, Feb 24, 2016
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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
http://we.analyzegenomes.com/
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