Diese Präsentation wurde erfolgreich gemeldet.
Wir verwenden Ihre LinkedIn Profilangaben und Informationen zu Ihren Aktivitäten, um Anzeigen zu personalisieren und Ihnen relevantere Inhalte anzuzeigen. Sie können Ihre Anzeigeneinstellungen jederzeit ändern.
Enriching the Value of Clinical Data with
Oracle Data Management Workbench
August 2017
2
About Perficient
Perficient is the leading digital transformation
consulting firm serving Global 2000 and enterprise
cus...
3
Perficient Profile
Founded in 1997
Public, NASDAQ: PRFT
2016 revenue $487 million
Major market locations:
Allentown, Atl...
4
5
Prabha Ranganathan
Director, Clinical Data Warehousing and
Analytics, Perficient
Today’s Presenters
5
Srinivas Karri
Dir...
6
• Oracle Data Management Workbench Overview
• Data Management Use Cases
• Next Steps
• Q&A
Agenda
7
Clinical Data Management
More than Electronic Data Capture
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Safe Harbor Statement
The following is intended to ...
9
10
11
12
13
Laboratory Data
ePro Data
mHealth/IoT
InForm EDC Bi-
directional query
resolution Aggregate Clean Transform
Clinical &
...
14
Data Models
15
Manage Discrepancies
16
Validation Checks
17
Exporting, Reporting, Visualizing Data
18
Study Setup - Reusability
DMW Approach
• Study Templates
• Library Data Models
• Copy Functionality
 Data Models and T...
19
Data Review and Cleaning
DMW Approach
• Flags and States
• Record level
• Subject visit level
• Transformations
• Filte...
20
Study – Review Progress Tracking
DMW Approach
• Flags and States
• Subject Visit
• Record
• Custom Programs
• Transform...
21
Study – Milestone Readiness
DMW Approach
• Flags and States
• Transformations and VCs
• Study performance based on
hist...
22
Where to Go from Here
Next steps
• For those not quite ready yet
– Collaborate on requirements
• For those interested i...
Questions?
24
• “Improving the Clinical Data Review Process with
Oracle Data Management Workbench” | Download
• “How to Review, Clean...
Nächste SlideShare
Wird geladen in …5
×

Enriching the Value of Clinical Data with Oracle Data Management Workbench

723 Aufrufe

Veröffentlicht am

To effectively conduct clinical research and development you need to collect, manage, and visualize clinical and healthcare data – including mHealth data – using a centralized and secure data repository that can be considered the single source of truth.

Oracle Data Management Workbench (DMW) is a proven solution that is used by a number of global pharmaceutical and medical device organizations to aggregate and manage clinical data in support of their R&D initiatives.

In this SlideShare, we demonstrate how Oracle DMW can quickly enrich and expand the value of clinical data, as well as support enhanced analytics and decision-making.

Veröffentlicht in: Technologie
  • Als Erste(r) kommentieren

  • Gehören Sie zu den Ersten, denen das gefällt!

Enriching the Value of Clinical Data with Oracle Data Management Workbench

  1. 1. Enriching the Value of Clinical Data with Oracle Data Management Workbench August 2017
  2. 2. 2 About Perficient Perficient is the leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting, and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution, and value with outstanding digital experience, business optimization, and industry solutions.
  3. 3. 3 Perficient Profile Founded in 1997 Public, NASDAQ: PRFT 2016 revenue $487 million Major market locations: Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chicago, Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Lafayette, Milwaukee, Minneapolis, New York City, Northern California, Oxford (UK), Southern California, St. Louis, Toronto Global delivery centers in China and India ~3,000 colleagues Dedicated solution practices ~95% repeat business rate Alliance partnerships with major technology vendors Multiple vendor/industry technology and growth awards
  4. 4. 4
  5. 5. 5 Prabha Ranganathan Director, Clinical Data Warehousing and Analytics, Perficient Today’s Presenters 5 Srinivas Karri Director of Product Strategy, Oracle
  6. 6. 6 • Oracle Data Management Workbench Overview • Data Management Use Cases • Next Steps • Q&A Agenda
  7. 7. 7 Clinical Data Management More than Electronic Data Capture
  8. 8. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. 8srinivas.karri@oracle.com
  9. 9. 9
  10. 10. 10
  11. 11. 11
  12. 12. 12
  13. 13. 13 Laboratory Data ePro Data mHealth/IoT InForm EDC Bi- directional query resolution Aggregate Clean Transform Clinical & Operational Analytics Medical Review Study Data Tabulation Model Datasets Oracle Data Management Workbench Cloud Platform Service srinivas.karri@oracle.com EMR/EHR End-to-End Data Management • Single platform for data cleaning, reconciliation, and transformations across multiple source systems • Seamless integration with InForm, TMS, and external data sources Accelerate Trial Timelines • Automation workflow reduces time from raw data collection to data ready for Biostatistics • Re-usable template library of data models, transformations, and validation checks Improve Compliance • Secure data access, blinding & masking, version control, and data lineage traceability • Faster access to clean data for more interim analyses Biostats Data Models ACQUIRE ANALYSIS
  14. 14. 14 Data Models
  15. 15. 15 Manage Discrepancies
  16. 16. 16 Validation Checks
  17. 17. 17 Exporting, Reporting, Visualizing Data
  18. 18. 18 Study Setup - Reusability DMW Approach • Study Templates • Library Data Models • Copy Functionality  Data Models and Tables  Transformations  Validation Checks  Custom Listings Business Use Case • Standard setup at a Study Grouping Level • Multiple Standards • Reuse Setup from One Standard definition Oncology Template Study 87123 Study 83456 Study 57432 Study 87523
  19. 19. 19 Data Review and Cleaning DMW Approach • Flags and States • Record level • Subject visit level • Transformations • Filters • Discrepancy Workflow • Customized workflow • Actions and tags Business Use Case • Review Data • Familiar metadata across all studies • Mark data issues for review and data correction • Mark reviewed data • Set subject visit status • Set data status • Ability to review new/changed data
  20. 20. 20 Study – Review Progress Tracking DMW Approach • Flags and States • Subject Visit • Record • Custom Programs • Transformations • Validation Checks • Filters Business Use Case • What is clean • What needs to be reviewed? • Whose review is needed? • Status of updates from external sources
  21. 21. 21 Study – Milestone Readiness DMW Approach • Flags and States • Transformations and VCs • Study performance based on historic data from similar studies • Discrepancy workflow • DataSources Business Use Case • Status of study • Ready for a milestone • Interim submission • Study lock • What is pending • How long will it take to complete the tasks to reach a milestone
  22. 22. 22 Where to Go from Here Next steps • For those not quite ready yet – Collaborate on requirements • For those interested in seeing more of DMW – Schedule a demo • Looking to harmonize your business processes? – Schedule a call to discuss your situation Competitive advantages & capabilities • Architectural, technical, and best-practice guidance for the implementation of DMW • Gap assessments • Development of utilities • Extensive experience implementing and integrating clinical and PV applications • Expertise in project management and process re-engineering • Technology evaluation and implementation to support the strategy • Health checks • Roadmap development • 18+ years of helping organizations select, configure, implement, integrate, and manage Oracle Health Sciences applications
  23. 23. Questions?
  24. 24. 24 • “Improving the Clinical Data Review Process with Oracle Data Management Workbench” | Download • “How to Review, Cleanse, and Transform Clinical Data in Oracle InForm” | View On Demand • “How to Load Data More Quickly and Accurately into Oracle's Life Sciences Data Hub” | View On Demand Additional Resources • Perficient.com/SocialMedia • Facebook.com/Perficient • Twitter.com/Perficient_LS • Blogs.perficient.com/LifeSciences

×