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Data Challenges in Clinical Research
Chris Roche, CEO, Aridhia
Chris Roche, CEO, Aridhia
Today’s speaker
Chris joined Aridhia in 2014 to provide strategic commercial leadership
as Aridh...
Data Challenges in Clinical Research
Today’s agenda
o Introduction to Clinical Research & Data
o Market Challenges and the...
4
Increasing productivity in the collaborative research workflow
Data
discovery
Data capture
Data load
Data quality
Analysis...
Integrating precision medicine into the workflow
Data
discovery
Data capture
Data load
Data quality
Analysis
Visualisation...
Operational healthcare
Multidisciplinary team meeting Risk prediction Population health
Collaborative R&D
projects
Pre-competitive
consortia
Research institutions/
ecosystems Diagnostics
Use cases
INDUSTRIALISATION GOVERNANCE REPRODUCIBILITY SERVICERAPID PROTOTYPING
What slows the process?
The status quo is not an option:
current data capability is unable to cope
A new approach is required
Change the way research and PM interacts with their data
ACRIS – Advanced Clinical Research Information Systems
ACRIS:
• a complex constellation of capabilities
that can rapidly a...
International hubs
NetherlandsUK
Team
DevOps and
Service Delivery
Enablement
Innovation
Business Operations
Glasgow / Edinburgh
EPAD – Alzheimer's Dementia adaptive clinical trial
• Traumatic Brain Injury (TBI) is a leading worldwide problem; the annual incidence of
hospitalisation following TBI range...
• Developing tools that can predict disease activity over a 12-month horizon for adults
recently diagnosed with relapsing-...
“Radboud university medical center is a leading academic center for patient care, education and
research, with the mission...
‘From bricks to clicks’
Education
Digital Learning
Environment (DLE)
Care
Electronic Medical
Record (EMR)
Research
Digital...
Business transformation
Revenue Enablement DevOps
Secure FTP
Flat files, XML,
unstructured Virtual DesktopWeb Access
Security and Identity Management
App User / Member Data...
Precision Medicine
Workspace
Small Clinical Trials
Workspace
Healthcare Landing Zone Workspaces
Key Management
Database
De...
(* = roadmap 2016)
Benefits - impact on common research tasks
Research task Tools provided Time to Value
Sourcing data Con...
Roadmap – integrated vision for clinical informatics
Collaboration
Participant
Privacy &
Consent
Precision
Medicine
Workfl...
28
Questions?
http://pivotal.io/resources
https://blog.pivotal.io/
29
Resources
https://springoneplatform.io/
30
Resources
http://www.aridhia.com/services/analytixagility-project-edition/
http://www.aridhia.com/services/analytixagil...
Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Research Analytics
Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Research Analytics
Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Research Analytics
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Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Research Analytics

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Join Jeff Kelly, Pivotal’s Big Data Strategist and Chris Roche, Aridhia’s CEO, to learn how Big Data and data science are being applied to clinical research. Learn…

• Why research-oriented healthcare delivery organizations and academic medical centers need an ACRIS
• How improving collaboration and productivity accelerates the discovery of insights and increases competitiveness
• Why robust data security is critical to modernizing engagement between academia, industry and healthcare
• How to reduce research costs while improving commercialization opportunities
• Why enabling transparent analysis and reproducibility of research are key to scientific progress
• Best practices to get started on your digital transformation and Big Data journey

Publié dans : Technologie
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Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Research Analytics

  1. 1. Data Challenges in Clinical Research Chris Roche, CEO, Aridhia
  2. 2. Chris Roche, CEO, Aridhia Today’s speaker Chris joined Aridhia in 2014 to provide strategic commercial leadership as Aridhia embraced new 3rd generation technologies to support their new cloud based business model and collaborative data science platform. Chris combines a background in computing, specialising in artificial intelligence and business transformation. He spent 14 years at EMC, where he held a number of senior director positions including serving as Country Manager for EMC in Ireland, Regional Director for Greenplum, EMC’s Big Data business and as EMEA CTO. He holds a 1st Class Degree in Computing and Information Technology (BScHons), is a member of the British Computer Society (MBCS) and is qualified as a Chartered Engineer (CEng) and Chartered Information Technology Practitioner (CITP).
  3. 3. Data Challenges in Clinical Research Today’s agenda o Introduction to Clinical Research & Data o Market Challenges and the Aridhia Business Model o Data in Clinical Research Use Cases o Aridhia Business Transformation Journey o Data, Technology and Roadmap o Q&A
  4. 4. 4
  5. 5. Increasing productivity in the collaborative research workflow Data discovery Data capture Data load Data quality Analysis Visualisation Data analyst / Data owner / Biostatistician / Researcher Data owner Data analyst / Biostatistician / CRO Data steward and analyst / Biostatistician / Pharma End user (clinician, manager, MDT, patient, etc.) Statistician / Data analyst / Biostatistician and domain expert etc. Distribute output
  6. 6. Integrating precision medicine into the workflow Data discovery Data capture Data load Data quality Analysis Visualisation Data analyst / Data owner / Biostatistician / Researcher Data owner Data analyst / Biostatistician / CRO Data steward and analyst / Biostatistician / Pharma End user (clinician, manager, MDT, patient, etc.) Statistician / Data analyst / Biostatistician and domain expert etc. Distribute output
  7. 7. Operational healthcare Multidisciplinary team meeting Risk prediction Population health
  8. 8. Collaborative R&D projects Pre-competitive consortia Research institutions/ ecosystems Diagnostics Use cases
  9. 9. INDUSTRIALISATION GOVERNANCE REPRODUCIBILITY SERVICERAPID PROTOTYPING What slows the process?
  10. 10. The status quo is not an option: current data capability is unable to cope
  11. 11. A new approach is required
  12. 12. Change the way research and PM interacts with their data
  13. 13. ACRIS – Advanced Clinical Research Information Systems ACRIS: • a complex constellation of capabilities that can rapidly assemble data assets for clinical research questions Provides: • data mining and research process support to meet the needs of clinical and translational research • related biostatistics and biocomputation Includes: • electronic health record (EHR) access • open-source components • an approach for big data needs
  14. 14. International hubs NetherlandsUK
  15. 15. Team DevOps and Service Delivery Enablement Innovation Business Operations Glasgow / Edinburgh
  16. 16. EPAD – Alzheimer's Dementia adaptive clinical trial
  17. 17. • Traumatic Brain Injury (TBI) is a leading worldwide problem; the annual incidence of hospitalisation following TBI ranges from 108-332 new cases per 100,000 inhabitants • 72 million time points of data per patient stay (mean stay 2 days) • 1.6Gb of data per patient per day, approximately 1.5Mb of data per minute per patient • Near real-time integration of high-frequency ICU data, research & implement physiological models & delivery of results back to the bedside
  18. 18. • Developing tools that can predict disease activity over a 12-month horizon for adults recently diagnosed with relapsing-onset multiple sclerosis (MS) • Patient reported outcomes, clinical, genomic analysis and quantitative neuroimaging data will be evaluated to determine the optimum predictive tool, enabling NHS clinicians to map a personalised trajectory of disease and predict those patients with a high likelihood of transitioning to secondary progressive MS • Will enable early intervention and result in focused delivery of the finite disease modifying treatment drug budget to patients with the most compelling basis to receive treatment • Data capture to deliver real-time NHS data integration across 4 NHS boards
  19. 19. “Radboud university medical center is a leading academic center for patient care, education and research, with the mission ‘to have a significant impact on healthcare’. Our activities help to improve healthcare and consequently the health of individuals and of society. We believe we can achieve that by providing excellent quality, participatory and personalized healthcare, operational excellence and by working together in sustainable networks.”
  20. 20. ‘From bricks to clicks’ Education Digital Learning Environment (DLE) Care Electronic Medical Record (EMR) Research Digital Research Environment (DRE)
  21. 21. Business transformation Revenue Enablement DevOps
  22. 22. Secure FTP Flat files, XML, unstructured Virtual DesktopWeb Access Security and Identity Management App User / Member Data Scientist Administrator CollaborativeWorkspaceUserInterface Secure Messaging HL, FHIR, other payload Active Database agent Direct EHR connection Active Web service agent FHIR, Web Services HealthcareLandingZone Services Apps Collaborative Services Audit Analytical Tools Data and Compute Fabric Admin N3 Connection Repository e.g. Genomic store Hadoop Workspace DB Health Analytics Schema (option) Workspace DB MGRID HL7 RIM Schema (roadmap) Workspace DB Schema-agnostic data lake Web Access SQL, R, R Shiny, MADLIB Virtual Desktop Bring your own tools Collaboration Tagging, messaging, notification, alerts Audit Access, usage, authentication, provisioning, upload Apps User-built analytical apps and output or Aridhia-populated apps e.g. LaTEX publishing, Health Analytic Schema, data quality… De-identification Service Table Mapping Dataset Library Health Analytics Schema Ontology Service Direct to File Store Data Quality Reports Data Linkage Reports Data Selection API Data Staging Network Security App Hosting Healthcare Landing Zone Precision Medicine PaaS Multi-site LIMS Sample Management CTM System DICOM End-Point BIX Workflow Data Asset Repository Federated Analysis API Life-Cycle Container Secure file share Large unstructured
  23. 23. Precision Medicine Workspace Small Clinical Trials Workspace Healthcare Landing Zone Workspaces Key Management Database De-identification Service Data Preparation Airlock CDR Workspace Data Export Participant Privacy Management Core Services Client-specific Services Available for Subsequent Research Use Dynamic Consent Dataset Library Service Ontology Service Health Analytics Schema App Hosting Area (Analytics application/ local applications) Data Modelling and Compliance Financial & Admin Research & Non-clinical Data Research External Database Care Domain (Client) PACS (if required) EPRS & Clinical EPRS Direct PACS Direct Custom Reports Shared Care Portal Archiving Healthcare Landing Zone
  24. 24. (* = roadmap 2016) Benefits - impact on common research tasks Research task Tools provided Time to Value Sourcing data Connectivity with NHS sites Weeks Castor GCP-level EDC (partner service) Days De-identification De-identification Service <24h Upload SFTP, tabular data mapping Minutes Data Quality Data quality report, Ontology Service, Dataset Library Service <3h Linkage Consistent study IDs, data model support, omics templates* Hours Visualisation Quick visualisation tools On demand Exploratory Analytics R, SQL + MADLIB On demand Feature extraction Bioinformatics, image analysis toolkits On demand Training models MADLIB, Python, Spark*, parallel computing Hours Common analysis R packages (e.g. Survival), 3rd party tools Hours Publication Publication quality PDF, PowerPoint <6h App prototyping Shiny mini-apps 1-2 days
  25. 25. Roadmap – integrated vision for clinical informatics Collaboration Participant Privacy & Consent Precision Medicine Workflows Federated Analysis AnalyticsHealthcare Landing Zone Hospital Integrations Transactions per patientResearch & Innovation Projects Ontology Service Specialty Apps Data Catalogue Electronic Data Capture
  26. 26. 28 Questions?
  27. 27. http://pivotal.io/resources https://blog.pivotal.io/ 29 Resources https://springoneplatform.io/
  28. 28. 30 Resources http://www.aridhia.com/services/analytixagility-project-edition/ http://www.aridhia.com/services/analytixagility-ecosystem-edition/ http://www.aridhia.com/resources/library/

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