ROADMAP GPS 360€¦ · ROADMAP TECHNOLOGIES PLANNING AND FORECASTING SOLUTIONS •Focus Industries...
Transcript of ROADMAP GPS 360€¦ · ROADMAP TECHNOLOGIES PLANNING AND FORECASTING SOLUTIONS •Focus Industries...
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ROADMAP GPS 360BECAUSE PATIENT INTELLIGENCE IS BUSINESS INTELLIGENCE
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ROADMAP TECHNOLOGIESPLANNING AND FORECASTING SOLUTIONS
• Focus Industries
• Life Sciences
• Consumer Electronics
• Geneva Technology
• Predictive Analytics/Expert System for Forecasting
• Analytic Platform for RoadMap Solutions
• Licensed to Oracle, Samsung, CPFR Vendors
• RoadMap GPS 360
• Global Planning Solution
• Business Intelligence and Visualization, Guided Analytics, Scenario Planning and Modeling
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ROADMAP GPS 360
Source Systems
ERP – Patient Records - EMR
Advanced Models, Forecasting Algorithms, Statistical Analysis
Patient Demographics and Cohort Groups
Patient Analytic Processing and De-Identification
Patient Intelligence Database
BUSINESS INTELLIGENCE/VISUALIZATION
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ROADMAP GPS 360 – BECAUSE PATIENT INTELLIGENCE IS BUSINESS INTELLIGENCE
• Top Down Business Intelligence is Not Enough…
• Product / Market / Time
• Units / Revenue / Pricing
• NRX / TRX
• Accurate Planning Requires Patient Intelligence…
• Patient Persistency
• Daily Consumption (DACON) by Patient Cohort
• Market Segment by Disease State/Indication
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LIFE SCIENCES – ANALYTIC OPPORTUNITY
• Specialty Drug RX and Revenue Forecasting
• Long and expensive development cycles
• Shorter product life cycles
• High long-term value to patient and provider when patient stays on treatment
• Patient-level modeling of initial prescription (“trials”)
• Patient-level modeling of ongoing treatment (“repeat”)
• Critical to model patient cohorts along the life-cycle
• Improved forecast accuracy returns millions profits for a typical brand
• Improved service levels and inventory positions, fewer out-of-stocks, improved
pricing and promotions
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ROADMAP GPS 360 FOR LIFE SCIENCES
•Near perfect demand forecast accuracy (98-99%) for Specialty
Pharmaceuticals (e.g. Drugs for MS, RA, Oncology)
• Traditional approaches fall short
• Top-down forecasting models fail to capture patient-level demand and
usage profiles hindering accuracy
• Tools-based approaches (SAS, SPSS, R) must be augmented by expensive
analytical staff and/or consultancy
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PATIENT ANALYTICS: DRILLING DOWN TO THE MOST IMPORTANT PATIENT CHARACTERISTICS AND BEHAVIORS
• Demographics
• Phenotype (Physical Characteristics)
•Genotype (Genetic Variations)
• Indication (Disease State)
• Patient Persistency
• DACON
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PATIENT-BASED ANALYTICS
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360 DEGREES OF BUSINESS INTELLIGENCE
Top Line
Sales
Analytics
Cohort
Analysis
DemosStatistics
Forecasts
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PATIENT COHORT – GROUP OF PATIENTS WHO STARTED THERAPY IN THE SAME YEAR
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1600
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
New Patients to Therapy
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PATIENT ANALYTICS
Patient Cohorts
Planning Scenarios
Patient Data Measures
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ROADMAP GPS 360 - PATIENT COHORT ANALYSIS
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SEAMLESS SWITCHING BETWEEN SALES AND PATIENT ANALYTICS
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360 DEGREES OF BUSINESS INTELLIGENCE
Top Line
Sales
Analytics
Cohort
Analysis
DemosStatistics
Forecasts
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DEMOGRAPHICS: PATIENT AGE
Patient AgeAge Distribution by Patient
Cohorts
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PHENOTYPE: BODY MASS INDEX (BMI)
Patient BMI
Patient BMI
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GENOTYPE: GENETIC MARKERS
Genetic Markers
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360 DEGREES OF BUSINESS INTELLIGENCE
Top Line
Sales
Analytics
Cohort
Analysis
DemosStatistics
Forecasts
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INCIDENCE: DISEASE STATE
Disease States
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PATIENT PERSISTENCY OF THERAPY OVER TIME
Patient Persistency
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360 DEGREES OF BUSINESS INTELLIGENCE
Top Line
Sales
Analytics
Cohort
Analysis
DemosStatistics
Forecasts
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PATIENT PERSISTENCY: KEY TO FORECAST ACCURACY
• Accurate Forecasts of Patient Persistency Drive Refill RX Forecasts
• Refills Forecasts are Typically within 1-2% Accuracy
• Refills RX can be 90-95% of Total RX Prescriptions for a Chronic Condition
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ROADMAP 360 KEY BENEFIT PROPOSITION
• Patient-level Intelligence and Insight Improves Understanding of Patient
Persistency and Adherence to Therapy
• Advanced 360 Analytics and Modeling Leads to Faster and Smarter
Organizational Decision Making
• Significant Bottom-line Impact through Measurable Improvements in Forecast
Precision