0 Discussion Panel: BIG DATA – “Lies, damned lies and statistics”

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Presentation transcript:

0 Discussion Panel: BIG DATA – “Lies, damned lies and statistics”

1

2 PRESIDENTIAL POLITICS ANALYTICS WORDS IN COMMON INTEGRITYSECURITYRELIABILITY HONESTY TRACK RECORD FIDELITY BIG DATA INTEGRATIONCOST MANAGEMENT

Objectives of Panel  How to use big data to assist in market analysis leading to strategy?  New analytic tools – what are most important and how do they influence decision process?  Limitations of big data sets – what about GIGO?  Gender bias in application of big data – Mars/Venus at either end?  Time to move to out-sourcing of mega-data?  Another war on cancer – how to use big data? 3

WILL BIG DATA WIN THIS WAR? THE WAR ON CANCER 5 … and what about costs of care?

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A Practical Example: Levine Cancer Institute  Addressing costs and inconvenience of care  Integrating clinical practice with genome research  Attracting new expertise to the region  A new model of patient support  Electronic standardization and evidence based approaches  Symmetrical care across the Carolinas – for everyone!  Focus on the value proposition – cost, price, outcomes 9

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A Practical Example: Levine Cancer Institute  Addressing costs and inconvenience of care  Integrating clinical practice with genome research  Attracting new expertise to the region  A new model of patient support  Electronic standardization and evidence based approaches  Symmetrical care across the Carolinas – for everyone!  Focus on the value proposition – cost, price, outcomes 11

12  Molecular platform testing has rapidly evolved  Comprehensive reports can be confusing for everyday clinical practice  Unclear how to best utilize this information considering drug access, cost, value Challenges of interpreting results from new technology

EAPathways  EAPathways  Levine Cancer Institute  Secure, Web-based  Customize to any situation 13

Data Capture 14

Measurement  Cost per case  Survival  Toxicity requiring admission  Percentage of patients on cancer trials (& absolute numbers)  Important innovations  Published data, grants and contracts  Patient-centric outcomes

Objectives of Panel  How to use big data to assist in market analysis leading to strategy?  New analytic tools – what are most important and how do they influence decision process?  Limitations of big data sets – what about GIGO?  Gender bias in application of big data – Mars/Venus at either end?  Time to move to out-sourcing of mega-data?  Another war on cancer – how to use big data? 16

17 PRESIDENTIAL POLITICS ANALYTICS WORDS IN COMMON INTEGRITYSECURITYRELIABILITY HONESTY TRACK RECORD FIDELITY BIG DATA INTEGRATIONCOST MANAGEMENT

18 FINAL QUESTION FOR VERY SMART PANEL: WHO WILL BE NEXT POTUS AND WHAT IMPACT ON YOUR STRATEGY?