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类型Driving value through Standardization – Industry Challenges and Best Pract.ppt

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    Driving value through Standardization – Industry Challenges and Best Pract.ppt
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    1、Driving value through Standardization Industry Challenges and Best Practices,Henry Levy, partner-Life Sciences R&D European Lead,2,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Topics,What is Standardization? How much o

    2、r how little? The value of Standardization Challenges Best Practices Summary,3,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,What is Standardization?,Our industry is in the business of defining, creating, managing, and

    3、reporting data. Standardization of this data has been at the forefront of our functions agenda for the last 30 years but what is standardization? Is it using the same data for all trials? Is it naming our data consistently? Is it structuring our data consistently? Is it having semantic unambiguity?

    4、Is it to meet a regulatory guidance/requirement? The industry has defined it as one or all of these (or others) and it continues to change, and to challenge each of us,4,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,How

    5、 much standardization?,Submissions,Outputs,Derivations/ Imputations,Collection,Protocol,Safety Efficacy When safety is efficacy PK/PD,Across a Program Across a Disease Area/Indication Across a TA Across a Company Across the Industry,5,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo

    6、, and High Performance Delivered are trademarks of Accenture.,The Value of Standardization,Efficiency Re-usability Transparency Ability to integrate Ability to share Ability to mine Ability to submit,6,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered

    7、are trademarks of Accenture.,Standards Value Components of Integration,Scope of Data,Metadata Integration,Data Integration,Application Integration,7,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Application Integration,

    8、Clinical Data Management/ EDC,Clinical Trial Management,AE Processing,Data Warehouse,Programming/ Submission,Safety Signal Detection,Modeling and Simulation,Protocol Design,Medical Encoding,IVRS,Clinical Supplies,Document Management,Publishing,Data Review,External Data/ Lab,8,Copyright 2010 Accentur

    9、e All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Data Integration,Data Standards . . .Cross-Study Data IntegrationAnnual Safety/Efficacy ReportsRapid Availability of DataData Sharing (Internal, External),9,Copyright 2010 Accenture All Rights Res

    10、erved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Metadata Integration,Protocol Design CRF Design Data Warehouse Table Definition SAS Datasets Tables, Listings and Graphs Specifications Analysis Datasets Other data component definitions,As well as the path/trans

    11、formations that these data follow through the development data chain,10,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Scope of Data,Safety Efficacy Clinical Pre-Clinical EMR Others,Do we integrate all data?,11,Copyright

    12、 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,The Value of Integration to an Organization Increases in Direct Proportion to the Degree of Integration,Value,Level of Integration,Application Integration,Data Integration,Metadata I

    13、ntegration,Scope Full Integration of Development Data,Improved efficiency Improved quality Reduced Maintenance Overall Lower TCO,Improved Speed to Submission/Findings Reduced cost for Integration Improved Models for Internal/External Collaboration Better response for Regulatory Queries Rapid Availab

    14、ility of Data,Increased automation of key activities Protocol/CRF Design Data Mapping Optimized Adaptive Trial Design Initial levels of modeling and simulation,Full modeling and simulation Safety Signal Detection New Indications Future development models,12,Copyright 2010 Accenture All Rights Reserv

    15、ed. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,To Achieve the Desired Outcomes a Successful Implementation Must Balance both The Costs and Risks of Integration,Value Linear?,Level of Integration,Application Integration,Data Integration,Metadata Integration,Scope

    16、 Full Integration of Development Data,Implementation Cost,Probability of Success,Business Change,13,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,The Industry is Faced with Numerous Implementation Challenges and Conside

    17、rations,Standards which standard? CDISC? Others? Standards Where do I implement them? Collection, Data Warehouse, SAS Standards When do I implement them? Data Mapping Data Warehouse vs. SAS,14,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trade

    18、marks of Accenture.,Best Practices,Business ownership and executive sponsorship Effective, small, empowered Governance Metadata Management Technically Enabled Investment Dedicated People Allowing CDISC to evolve with you Determination and commitment to Long Term Success Ability to survive the valley

    19、s of despair,15,Copyright 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.,Summary,Standards have been a challenge in our industry over the last 30 years The value of standards is unquestionable, across driving efficiency and transparency Achieving that value is fraught with challenges that continue to evolve with industry challenges Most, if not all of us, will continue to drive standardization and therefore ongoing collaboration and learnings are critical to our success,

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