real world evidence: quantifying the patient journey · source: digital transformation in...
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© 2014 PerkinElmer
HUMAN HEALTH • ENVIRONMENTAL HEALTH
Real World Evidence:
Quantifying the Patient Journey Jamie Powers, DrPH
Director, Real World Evidence & Data Science
East Coast Users Group
September 15, 2016
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The Patient Journey
Source: School of Nursing, University of British Columbia, Vancouver, BC, Canada
• Understand
• Quantify
• Influence
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Transforming the Healthcare Ecosystem
Source: Digital Transformation in Healthcare, Mayur Gupta, Healthgrades, Feb 28, 2016
“It’s staggering to
see the pace at
which digital
technology is
changing the
traditional and
highly regulated
world of health
care.”
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RWE Intensifying Across Product Lifecycle
Source: Adapted from McKinsey Practice Perspectives on RWD
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Features of Desired Analytical Ecosystem
• Open and Collaborative
◦ Within and between Business units
◦ Also with Vendors!
• Comprehensive
◦ Deep set of “out of the box” capabilities
◦ From data to insight
• Flexible
◦ Exists as part of current architecture without disruption
• Grows and changes over time!
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Desired Business Outcomes (some examples)
• We want to be able to….
◦ Integrate RWE with current and planned RCTs, and compare!
◦ Quickly see safety signals in our products and TA in general
◦ Plan an RCT program based on most current “real world conditions”
◦ Assess value-based contracting in a proactive mode
◦ Create a culture that is not afraid to ask the provocative question
◦ Evaluate our product performance using machine learning algorithms
◦ Stream device data safely and securely and analyze it on the fly
◦ Automate the simple and focus people on the complex
◦ ….
◦ Prove we are a patient-centric company by providing data and analysis back to patient communities (safely, securely, acrruately etc.)
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Example Analyses
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Population Level – Drug / Disease Prevalence
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Cohort Selection – Condition Prevalence
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Patient Level Drill Down - Patient Profile
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Time-to-Event Models of Drug Usage and Outcomes
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OHDSI CohortMethod built-in
Screen clipping taken: 9/13/2016 1:13 PM
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Summary
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What we offer in the RWE space
• Opportunity to maximize the investment made in Spotfire in the
RWE/HEOR/Epi space
• We achieve this by:
◦ Creating “accelerators”
◦ Using open-source as the foundation
◦ Integrating the best new features of technology platform
◦ Understanding that “one size does not fit all”
• Which is valuable because:
◦ Decrease time to value realization
◦ Maximize collaboration PKI and our customers
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Available today
• Data ◦ Map sources to CDM(s) of choice ◦ ETL to connect CDM(s) to Spotfire
• Cohort Builder ◦ Build cohort in the same place as you will analyze it ◦ OHDSI CohortMethod
• Visualization ◦ OHDSI-like interactive visuals
• Advanced Analytics ◦ Module Template Accelerators (e.g., safety signal detection)
• Architecture ◦ Parallelized computing
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Roadmap
• Short term (Q3/4 2016) ◦ Add more OHDSI packages: PatientLevelPredict etc.
◦ Add OHDSI ACHILLES visualizations (more interactive)
◦ Medication Adherence/Persistency
◦ Meta-analysis (e.g., comparative effectiveness)
• Medium term (2017+) ◦ Streambase technology integration (streaming devices, IOT)
◦ Connections to other PKI offerings - Signals for Translational
- Clinical Data Review Dashboards
- Signals Perspectives
◦ Semantic Explorer
• Seeking Partners to co-develop!
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