challenges in clinical research: aridhia disrupts technology approach to research analytics
TRANSCRIPT
Data Challenges in Clinical Research Chris Roche, CEO, Aridhia
Chris Roche, CEO, AridhiaToday’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).
Data Challenges in Clinical ResearchToday’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
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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
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
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 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
International hubs
Netherlands UK
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 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
• 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
“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.”
‘From bricks to clicks’
Education
Digital Learning Environment (DLE)
Care
Electronic Medical Record (EMR)
Research
Digital Research Environment (DRE)
Business transformation
Revenue Enablement DevOps
Secure FTPFlat files, XML, unstructured Virtual DesktopWeb Access
Security and Identity Management
App User / Member Data Scientist Administrator
Col
labo
rativ
e W
orks
pace
Use
r Int
erfa
ce
Secure MessagingHL, FHIR, other
payload
Active Database agent
Direct EHR connection
Active Web service agent
FHIR, Web Services
Hea
lthca
re L
andi
ng Z
one
Ser
vice
s
Apps
Collaborative Services
Audit
Analytical Tools
Data and Compute Fabric
Admin
N3 Connection
Repositorye.g. Genomic store
Hadoop
Workspace DBHealth Analytics Schema (option)
Workspace DBMGRID HL7 RIM
Schema(roadmap)
Workspace DBSchema-agnostic
data lake
Web AccessSQL, R, R Shiny,
MADLIB
Virtual DesktopBring your own tools
CollaborationTagging,
messaging, notification,
alerts
AuditAccess, usage, authentication, provisioning,
upload
AppsUser-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
CTMSystem
DICOM End-Point BIX Workflow
Data Asset Repository
Federated Analysis API
Life-Cycle Container
Secure file shareLarge unstructured
Precision Medicine Workspace
Small Clinical Trials Workspace
Healthcare Landing Zone Workspaces
Key Management Database
De-identificationService
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 ReportsShared Care Portal
Archiving
Healthcare Landing Zone
(* = roadmap 2016)
Benefits - impact on common research tasksResearch 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
Roadmap – integrated vision for clinical informatics
CollaborationParticipantPrivacy &Consent
Precision Medicine
Workflows
FederatedAnalysis
AnalyticsHealthcareLanding
Zone
Hospital Integrations Transactions per patientResearch & Innovation Projects
OntologyService
SpecialtyApps
Data Catalogue
ElectronicData
Capture
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Questions?
http://pivotal.io/resourceshttps://blog.pivotal.io/
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Resources
https://springoneplatform.io/
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Resources
http://www.aridhia.com/services/analytixagility-project-edition/http://www.aridhia.com/services/analytixagility-ecosystem-edition/
http://www.aridhia.com/resources/library/