Databricks for Healthcare and Life Sciences · Readings, Time Series, Event Data SOCIAL DATA Social...
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Common Use Cases GENOMIC MEDICINE Leverage predictive analytic models against blended datasets such as biomarker, genetic, variant and population data, to uncover new drug innovations. REAL WORLD EVIDENCE ANALYTICS Extract real world data, including medical charts and claims data, to glean insights that demonstrate real world impact of healthcare innovations and interventions. COMPUTATIONAL SCREENING Accelerate the discovery of new therapeutics to improve patient outcomes using advanced analytics to draw highly accurate conclusions from genomic attributes. “Our ability to leverage Databricks to employ advanced analytics on our diverse data sets is going to have an enormous impact on patient outcomes and our business.” George Seegan, Sr. Manager R&D, Amgen Databricks for Healthcare and Life Sciences Use Case: Genomic Medicine Accelerating innovations for new drug development in translational science, cardio-vascular age prediction, and genomic research. Use Case: Genomic Medicine Pulling insights from the largest genetic sequence database that uncover new relationships between genotypes and phenotypes. Overview From genomic data to electronic health records (EHR), the impact data-driven insights is having on drug innovation and patient outcomes is undeniable. But challenges still exist in how best to harness this data to deliver better quality patient care. The volume of healthcare data is growing at a staggering rate; the various data sources are siloed and difficult to merge; and regulatory standards such as HIPAA require stringent security safeguards to protect patient data. Apache® Spark™ is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Converting massive volumes of healthcare data can have a profound impact across all areas of medicine.
Transcript of Databricks for Healthcare and Life Sciences · Readings, Time Series, Event Data SOCIAL DATA Social...
Common Use CasesGENOMIC MEDICINELeverage predictive analytic models against blended datasets such as biomarker, genetic, variant and population data, to uncover new drug innovations.
REAL WORLD EVIDENCE ANALYTICSExtract real world data, including medical charts and claims data, to glean insights that demonstrate real world impact of healthcare innovations and interventions.
COMPUTATIONAL SCREENING Accelerate the discovery of new therapeutics to improve patient outcomes using advanced analytics to draw highly accurate conclusions from genomic attributes.
“ Our ability to leverage
Databricks to employ
advanced analytics on our
diverse data sets is going
to have an enormous impact
on patient outcomes and
our business.”
George Seegan, Sr. Manager R&D, Amgen
Databricks for Healthcare and Life Sciences
Use Case: Genomic Medicine
Accelerating innovations for new drug development in translational science, cardio-vascular age prediction, and genomic research.
Use Case: Genomic Medicine
Pulling insights from the largest genetic sequence database that uncover new relationships between genotypes and phenotypes.
OverviewFrom genomic data to electronic health records (EHR), the impact data-driven insights is having on drug innovation and patient outcomes is undeniable. But challenges still exist in how best to harness this data to deliver better quality patient care. The volume of healthcare data is growing at a staggering rate; the various data sources are siloed and difficult to merge; and regulatory standards such as HIPAA require stringent security safeguards to protect patient data.
Apache® Spark™ is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Converting massive volumes of healthcare data can have a profound impact across all areas of medicine.
DNA SEQUENCES BAM, SAM VCF, ADAM, GATK4
CLINICAL DATACMS Public, HL7 / CCD, Claims, RWE, Registry, EMR
DRUG DEVELOPMENTScreen Data, Observational Data
SENSOR DATAReadings, Time Series, Event Data
SOCIAL DATASocial Media, Adverse Events, Unstructured
Databricks provides a virtual analytics platform, powered by Apache Spark, that allows you to process high volumes of healthcare data from disparate sources and deliver rich insights, resulting in faster innovation and improved patient quality of care.
How Databricks Works for Healthcare
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• Built-in connectors to easily and quickly access your disparate data sources.
• Optimized AWS S3 access layer to simplify how you connect to your healthcare data.
• Memory-optimized compute engine that processes healthcare data at lightning fast speeds.
• Integrated workspace for data exploration to develop precise models that can uncover new therapeutic opportunities.
• Cluster manager for easy provisioning of fully managed Spark clusters to any scale without overextending resources.
• Job and workflow scheduler to build production data pipelines that accelerate time to insights.
• Comply with HIPAA requirements ensuring the highest levels of patient data protection.
GENOMIC MEDICINE• Massive Blended Datasets• Biomarker, Genetic, Variant &
Population Analytics
RWE ANALYTICS• Market Access Analysis• Efficacy and Comparative Image Processing
COMPUTATIONAL SCREENING• Increase Attribute Collection• Faster Aggregation, Joins • Effectiveness Analysis
DEVICE ANALYTICS• Aggregation of Events • Blended with Clinical and Genomic Data
SOCIAL ANALYTICS• Real-Time Patient Feedback via
Topic Modeling• Analytics Across Publication Data
Faster innovation for drug development
Improved patient outcomes & increased revenue
Faster discovery of new therapeutics
Predictive analytics transforms quality of care
Improved patient communications and feedback
Making Innovative Use Cases a RealityCOMMON USE CASES OUTCOMEDATA SOURCES
