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Enabling Translational Medicine with BI (Technology Focus)


Publication Date   March 2007
Publisher   Datamonitor
Product Type   Brief
Pages   14
ISBN Number   not applicable
Product Code   DAT732
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Price £1,000.00

approximately: $1,727 | €1,270

Summary


Introduction

The shift towards translational medicine depends on vendors offering technology solutions that are aligned to the unique needs of the pharmaceutical industry. BI tools, such as data analytics, must reflect domain expertise and encompass both research and development (R&D) and clinical departments of a pharmaceutical company.

Scope

  • Analyzes BI technology components, such as data integration and data analytics, for research and development in the pharmaceutical industry
  • Builds on ongoing primary research with pharmaceutical companies and technology vendors

Highlights

Market pressures are driving pharmaceutical firms to embrace translational medicine

Translational research requires BI technology components

BI solutions must reflect domain expertise for the drug development process; and Four technology features add value to a BI solution for translational medicine.

Reasons to Purchase

  • Align your strategy with developments in the pharmaceutical industry
  • Understand the technology features important to pharmaceutical end users
  • Gain insight into BI applications for the early stages of drug development

Content


    • CATALYST
    • SUMMARY
    • METHODOLOGY
    • ANALYSIS
    • Market pressures are driving pharmaceutical firms to embrace translational medicine
    • External forces are driving the adoption of translational medicine
    • Translational research requires BI technology components
    • Data integration is a key component of a data warehousing solution for R&D
    • Components of integration must support both spatial and temporal information
    • Data analytics tools must be built with domain expertise in order to derive knowledge from information
    • BI solutions must reflect domain expertise in the drug development process
    • Technology for translational medicine must support different types of end users
    • Four technology features add value to a BI solution for translational medicine
    • The pharmaceutical market requires usable technologies that empower users, without dictating a process
    • Technology must be flexible in scaling both up or down
    • In translational medicine, solutions need to integrate various data, software and hardware
    • Harvesting scientific knowledge within and across departments is a sign of a collaborative technology feature
    • ACTIONS
    • Align technology to R&D and clinical worflow challenges
    • Offer flexible solutions to fit the dynamic drug development process
    • Do not assume your end users are 'bi-lingual'
  • Appendix
    • Definitions
    • Abbreviations
    • External methodology
    • Further reading
    • Datamonitor Technology Consultancy
    • Ask the analyst
  • List Of Figures
    • Figure 1: Technology aligned to translational medicine supports dynamic rather than linear models
    • Figure 2: Data integration includes ETL, data cleansing and refresh functions to support real-time exchange of diverse data
    • Figure 3: Data analytics with domain expertise enable decision support for translational research
    • Figure 4: Description of horizontal and vertical end-user titles
    • Figure 5: Technology feature components must align with different end users