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Clinical Data Management
       India as a Hub


          Dr. Bhaswat S. Chakraborty
     Sr. VP & Chair, R&D Core Committee
          Cadila Pharmaceuticals Ltd.
Ongoing Clinical Trials in India




                           Source: clinicaltrials.gov
Clinical Trials:
   Why Do We Need a Data Management System?

• Multi-centre co-operative trials
  – Multiple sites capturing data
  – Multiple disparate databases
  – Multiple levels of reporting
  – Critical, very specific information
  – Multitude decision making at multiple sites
  – Co-ordination demands details
  – Real time query and real time response
Knowledge         Investigational
                                    Sites
                                                            Contracts

               Partners &
               Affiliates                                     CROs
                                  Relationship
                                  Building
Meetings                                                             Communication

  IRB                                 Data Capture
                 Regulatory
                                      Data Management
                 Documents                                    Product
Safety                                                        Management

         Project                       eMails
         Management
                                                              Resource
                                                              Management
         Information
                        Drug & Clinical Trial Development
                                Extended Picture



  Multidirectional Flow of Data and Decisions
Clinical Trials:
   Why Do We Need a Data Management System?

• Enormous volumes of data
  – Example, a Phase-III trial in 10 centres with 100 patients
    each
  – 60 pages of CRF for each recruited patient
     • 20 fields each page
  – 40 pages of screening form for each candidate patient
     • 20 fields each page
  – [1000 (60 x 20)] + [1500 (40 x 20)]
    = 12, 00000 + 12, 00000
    = 24,00000 specific data points
Clinical Trial Data
• Useful only if it is clean & up to date.
• Data processing must be
   – real-time
       •   subject randomization
       •   management of clinical trials materials
       •   laboratory uploads
       •   patient diary data
   – Integrated
   – Consistent
   – Accurate
• Data structures must be
   – Standard
   – Validated
• Data transfer method must be
   – Standard
   – Validated
Data Management Services:
                       What Exactly Do They Do?
•   Case report forms (CRFs) design
•   Database design
•   Database programming
•   21 CFR part 11 compliant validation process
•   Loading, reconciliation and integration of external data
•   Medical coding
•   Status reporting
•   Forms management
•   Data entry and cleaning
•   Data locking
•   Statistical analysis
•   Report generation
Clinical Data Management System
                 (CDMS)
Data Capture Strategy              Processes

    Remote Data Capture   Adverse Event Monitoring System
    Portal Data Capture   Compliance (GCP/GLP) Monitoring
                          Workflow Monitoring
                          Analytical Data Processing
      Systems
                          Statistical Data Processing
  Data Extraction
  GLIB
  TMS/Dictionaries
  Reports
  Validation
Data Capture (1)
      CRF


  Manual data



  Electronic data   No
                         Raw data
 to be combined?
                         (Manual)

  Yes

     Electronic          Get approval
        data


    Raw data


         A
Clinical Data Management System
                 (CDMS)
Data Capture Strategy               Processes

    Remote Data Capture   Adverse Event Monitoring System
    Portal Data Capture   Compliance (GCP/GLP) Monitoring
                          Workflow Monitoring
                          Analytical Data Processing
         Systems
                          Statistical Data Processing
  Data Extraction
  GLIB
  TMS/Dictionaries
  Reports
  Validation
Data Extraction, Cleaning & Locking (2)
                                       A


                                Real time query


                                                    No
                                     Are the
                                queries answered?                   Approval required


                                           Yes
                                                      Repeat       No
Data cleaning                                       Observation/
                                                                         Can this data
                                                                          be locked?
1. Detecting & diagnosing errors                     Omission
2. Editing incorrect data
3. Integrated data passage                                              Yes
4. Outlier determination
5. Robust estimation of analytical parameters


                                   Clean data                        Locked data         B
Clinical Data Management System
                 (CDMS)
Data Capture Strategy               Processes

    Remote Data Capture   Adverse Event Monitoring System
    Portal Data Capture   Compliance (GCP/GLP) Monitoring
                          Workflow Monitoring
                          Analytical Data Processing
         Systems
                          Statistical Data Processing
  Data Extraction
  GLIB
  TMS/Dictionaries
  Reports
  Validation
Data Processing & Reporting (3)
                      B


           Locked Clean Data


                                   No   Data Summary,
            Statistical analysis        Charts/Graphs
                 required?


                           Yes


        SAS Data Sets
        Statistical Data Analysis
        Tests of Hypotheses
        Cohort Analyses


                                          Report
                  Results
CRF
                        Maker   CRF
           Data Entry                    Editor
                                (Form)
           Layout

CRF
Database

                                                  Edited
                                                  Hard Copy

    Electronic Case Report Forms
Electronic Data Capture (EDC)
                                            Define

                        gn
                   Desi




                                                                             Bu
                                                                               ild
                                                        C
                                                         en
                    ry                               R      tr
                  nt      )                           ep       a
                E
                       ite                              os l D a




                                                                                            Compliance
                                                                                            21CFR Part 11
             ta
        tD
           a         lS                                   ito       ta
                  na




                                                                                     Test
       c         o                                            ry
 u bje       ati                                                 (H
S        tig                                                        U
     v es                                                            B
  (In                                                                    )

                              Data Review
                              Sponsor/Monitor                                  Use
CDMS Market Size in India
• [Gobally ~$1.5 billion]
• Estimated Indian Market
• The total Clinical Trial market in India is ~$600 million
• CDMS is about 7-8% of CTs
• Thus the CDMS market is estimated to around 40 – 45 million
  dollars
• For big MNCs, it is still a very small portion
• But it has a huge potential to grow
Clinical Trials Destination: India




        Business Models:
     1. Specialized outsourcing hub
     2. General hub
Drivers of EDC & CDMS
• Context – why India and why EDC & CDMS
• Technology & market forces
• Cost advantage
• Concentration of resources
• Expertise (and lathes of expertise)
• Regulators are insisting on comprehensive risk
  management and PV
• Large trials have dozens of international sites and
  corresponding chunks of data
Facilitators of EDC & CDMS
• Context – why India and why EDC & CDMS
• Consultants who can integrate different parts
•   One stop shopping
     – Patients, diversity
     – investigators
     – CT conduct experience
     – Top CROs
• Research subsidiaries of pharma MNCs and int’l CROs
• CDMS & EDC offer efficiency and timeliness of data collection
  and reporting
• Understanding of harmonized data & analysis requirements
Stakeholders in CDMS & EDC




    Sahoo U. (2005). Clinical data capture shifts paradigm. Pharmabiz, July 14, 2005
Data Standards & Harmonization
• It is estimated that ~ 200 million dollars are wasted yearly
  because of a lack of globally accepted clinical data format
• Following organizations are working for data standardization:
• Clinical Data Interchange Standards Consortium (CDISC)
• Health Level 7 (Hl7)
• WHO
• US National Cancer Institute (NCI)
• National Library of Medicine (NLM)
• Academia
• ISO
• …
Jobs in India in CDISC, EDC, Biostats…
Standards for Data Management
• Very important for the regulatory agencies
• Without a standard, sponsors file data in different
  arrangements
• Once data is in a standardized structure, regulatory
  agencies can preprogram software to run a macro
  script
• Thereby data coming from different sources will
  automatically format to conform to the regulatory
  agencies requirements
MNC PV Activities & Databases in
               India
• Example: Novartis
• Activities/Databses
   – Periodic Safety Update Report (PSUR)
   – Risk Management Plan (RMP) updates and associated activities
   – safety signal detection
   – management of large datasets
   – analysis of large databases
   – responses to external authorities
   – review of clinical protocols
   – other regulatory activities
   – clinical review and evaluation of cases including input for follow-up
     and data cleaning
   – ….many other relevant activities
Advantages to MNCs: Outsourcing to
                India
• Better, safer drugs to market faster
• Improve efficiency
       • Improve communication
       • Improve data collection
       • Reduce redundant data submissions
• Other benefits
       •   Improve communication
       •   Decrease redundant data submission
       •   Decrease “learning curve”
       •   Cross study analysis
       •   User friendly tools
       •   Decrease delays
Technical Advantages
• Cloud computing possible
• Real-time access to all clinical trial data
• Easy filling of e-CRFs with
   –   Radiobutton choices
   –   Checkboxes
   –   Drop-down selections
   –   Unlimited text boxes for comments
• Real-time data entry validation checks
• Secure database
• Back-end clinical data management and programmed data
  validation checks
• Electronic and automatic Audit Trail
• Simple e-mail query resolution or by on-line query database
• Configurable access rights
• Electronic signatures fully compliant with FDA's 21 CFR Part 11
Concluding Remarks
• CDMS provide a range of IT tools that give the trials personnel
  the required information throughout clinical management
• CDMS mainly manages data capture, systems and analytical
  process electronically
• EDC definitely adds value – efficiency and accuracy, however,
  high costs and some technology issues remain
• Technical and automational advantages are countless
• The CDMS market in India is estimated to around 40 – 45
  million dollars and growing
• Provides for data standardization and interchange in
  universally acceptable formats
Concluding Remarks: India as a Hub
• India offers many advantages as a CDMS hub
   •   Cost
   •   Concentration of resources
   •   Expertise
   •   Comprehensive risk management databases, analysis, mitigation and
       PV centres
   •   Consolidation of various databases (especially large ones)
• India’s IT sector is growing at ~25% per year thus maintaining
  complex CDMSs at competitive costs in India is an added
  advantage
• Abundant skilled personnel in all areas of CDM available
• Hub of almost all clinical trial activities in coming years
Thank You Very Much

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Clinical data management india as a hub

  • 1. Clinical Data Management India as a Hub Dr. Bhaswat S. Chakraborty Sr. VP & Chair, R&D Core Committee Cadila Pharmaceuticals Ltd.
  • 2. Ongoing Clinical Trials in India Source: clinicaltrials.gov
  • 3. Clinical Trials: Why Do We Need a Data Management System? • Multi-centre co-operative trials – Multiple sites capturing data – Multiple disparate databases – Multiple levels of reporting – Critical, very specific information – Multitude decision making at multiple sites – Co-ordination demands details – Real time query and real time response
  • 4. Knowledge Investigational Sites Contracts Partners & Affiliates CROs Relationship Building Meetings Communication IRB Data Capture Regulatory Data Management Documents Product Safety Management Project eMails Management Resource Management Information Drug & Clinical Trial Development Extended Picture Multidirectional Flow of Data and Decisions
  • 5. Clinical Trials: Why Do We Need a Data Management System? • Enormous volumes of data – Example, a Phase-III trial in 10 centres with 100 patients each – 60 pages of CRF for each recruited patient • 20 fields each page – 40 pages of screening form for each candidate patient • 20 fields each page – [1000 (60 x 20)] + [1500 (40 x 20)] = 12, 00000 + 12, 00000 = 24,00000 specific data points
  • 6. Clinical Trial Data • Useful only if it is clean & up to date. • Data processing must be – real-time • subject randomization • management of clinical trials materials • laboratory uploads • patient diary data – Integrated – Consistent – Accurate • Data structures must be – Standard – Validated • Data transfer method must be – Standard – Validated
  • 7. Data Management Services: What Exactly Do They Do? • Case report forms (CRFs) design • Database design • Database programming • 21 CFR part 11 compliant validation process • Loading, reconciliation and integration of external data • Medical coding • Status reporting • Forms management • Data entry and cleaning • Data locking • Statistical analysis • Report generation
  • 8. Clinical Data Management System (CDMS) Data Capture Strategy Processes Remote Data Capture Adverse Event Monitoring System Portal Data Capture Compliance (GCP/GLP) Monitoring Workflow Monitoring Analytical Data Processing Systems Statistical Data Processing Data Extraction GLIB TMS/Dictionaries Reports Validation
  • 9. Data Capture (1) CRF Manual data Electronic data No Raw data to be combined? (Manual) Yes Electronic Get approval data Raw data A
  • 10. Clinical Data Management System (CDMS) Data Capture Strategy Processes Remote Data Capture Adverse Event Monitoring System Portal Data Capture Compliance (GCP/GLP) Monitoring Workflow Monitoring Analytical Data Processing Systems Statistical Data Processing Data Extraction GLIB TMS/Dictionaries Reports Validation
  • 11. Data Extraction, Cleaning & Locking (2) A Real time query No Are the queries answered? Approval required Yes Repeat No Data cleaning Observation/ Can this data be locked? 1. Detecting & diagnosing errors Omission 2. Editing incorrect data 3. Integrated data passage Yes 4. Outlier determination 5. Robust estimation of analytical parameters Clean data Locked data B
  • 12. Clinical Data Management System (CDMS) Data Capture Strategy Processes Remote Data Capture Adverse Event Monitoring System Portal Data Capture Compliance (GCP/GLP) Monitoring Workflow Monitoring Analytical Data Processing Systems Statistical Data Processing Data Extraction GLIB TMS/Dictionaries Reports Validation
  • 13. Data Processing & Reporting (3) B Locked Clean Data No Data Summary, Statistical analysis Charts/Graphs required? Yes SAS Data Sets Statistical Data Analysis Tests of Hypotheses Cohort Analyses Report Results
  • 14. CRF Maker CRF Data Entry Editor (Form) Layout CRF Database Edited Hard Copy Electronic Case Report Forms
  • 15. Electronic Data Capture (EDC) Define gn Desi Bu ild C en ry R tr nt ) ep a E ite os l D a Compliance 21CFR Part 11 ta tD a lS ito ta na Test c o ry u bje ati (H S tig U v es B (In ) Data Review Sponsor/Monitor Use
  • 16. CDMS Market Size in India • [Gobally ~$1.5 billion] • Estimated Indian Market • The total Clinical Trial market in India is ~$600 million • CDMS is about 7-8% of CTs • Thus the CDMS market is estimated to around 40 – 45 million dollars • For big MNCs, it is still a very small portion • But it has a huge potential to grow
  • 17. Clinical Trials Destination: India Business Models: 1. Specialized outsourcing hub 2. General hub
  • 18. Drivers of EDC & CDMS • Context – why India and why EDC & CDMS • Technology & market forces • Cost advantage • Concentration of resources • Expertise (and lathes of expertise) • Regulators are insisting on comprehensive risk management and PV • Large trials have dozens of international sites and corresponding chunks of data
  • 19. Facilitators of EDC & CDMS • Context – why India and why EDC & CDMS • Consultants who can integrate different parts • One stop shopping – Patients, diversity – investigators – CT conduct experience – Top CROs • Research subsidiaries of pharma MNCs and int’l CROs • CDMS & EDC offer efficiency and timeliness of data collection and reporting • Understanding of harmonized data & analysis requirements
  • 20. Stakeholders in CDMS & EDC Sahoo U. (2005). Clinical data capture shifts paradigm. Pharmabiz, July 14, 2005
  • 21.
  • 22. Data Standards & Harmonization • It is estimated that ~ 200 million dollars are wasted yearly because of a lack of globally accepted clinical data format • Following organizations are working for data standardization: • Clinical Data Interchange Standards Consortium (CDISC) • Health Level 7 (Hl7) • WHO • US National Cancer Institute (NCI) • National Library of Medicine (NLM) • Academia • ISO • …
  • 23. Jobs in India in CDISC, EDC, Biostats…
  • 24. Standards for Data Management • Very important for the regulatory agencies • Without a standard, sponsors file data in different arrangements • Once data is in a standardized structure, regulatory agencies can preprogram software to run a macro script • Thereby data coming from different sources will automatically format to conform to the regulatory agencies requirements
  • 25. MNC PV Activities & Databases in India • Example: Novartis • Activities/Databses – Periodic Safety Update Report (PSUR) – Risk Management Plan (RMP) updates and associated activities – safety signal detection – management of large datasets – analysis of large databases – responses to external authorities – review of clinical protocols – other regulatory activities – clinical review and evaluation of cases including input for follow-up and data cleaning – ….many other relevant activities
  • 26. Advantages to MNCs: Outsourcing to India • Better, safer drugs to market faster • Improve efficiency • Improve communication • Improve data collection • Reduce redundant data submissions • Other benefits • Improve communication • Decrease redundant data submission • Decrease “learning curve” • Cross study analysis • User friendly tools • Decrease delays
  • 27. Technical Advantages • Cloud computing possible • Real-time access to all clinical trial data • Easy filling of e-CRFs with – Radiobutton choices – Checkboxes – Drop-down selections – Unlimited text boxes for comments • Real-time data entry validation checks • Secure database • Back-end clinical data management and programmed data validation checks • Electronic and automatic Audit Trail • Simple e-mail query resolution or by on-line query database • Configurable access rights • Electronic signatures fully compliant with FDA's 21 CFR Part 11
  • 28. Concluding Remarks • CDMS provide a range of IT tools that give the trials personnel the required information throughout clinical management • CDMS mainly manages data capture, systems and analytical process electronically • EDC definitely adds value – efficiency and accuracy, however, high costs and some technology issues remain • Technical and automational advantages are countless • The CDMS market in India is estimated to around 40 – 45 million dollars and growing • Provides for data standardization and interchange in universally acceptable formats
  • 29. Concluding Remarks: India as a Hub • India offers many advantages as a CDMS hub • Cost • Concentration of resources • Expertise • Comprehensive risk management databases, analysis, mitigation and PV centres • Consolidation of various databases (especially large ones) • India’s IT sector is growing at ~25% per year thus maintaining complex CDMSs at competitive costs in India is an added advantage • Abundant skilled personnel in all areas of CDM available • Hub of almost all clinical trial activities in coming years

Hinweis der Redaktion

  1. GLIB: global library is an organization wide central repository for containing standardized data definitions. TMS: thesaurus management system; e.g., Oracle TMS provides terminology services for Oracle Clinical, Oracle Remote Data Capture, Oracle Adverse Event Reporting System, and Oracle Life Sciences Data Hub. Allows access to any number of dictionaries, including multiple versions of the same dictionary ; supports any number of hierarchy levels and supports custom or commonly used dictionaries, such as MedDRA, MedDRAJ, MedDRA SMQs, SNOMED, ICD9, WHO-ART, and WHO-Drug. MedDRA or Medical Dictionary for Regulatory Activities is a clinically validated international medical terminology used by regulatory authorities and the regulated biopharmaceutical industry during the regulatory process, from pre-marketing to post-marketing activities, and for data entry, retrieval, evaluation, and presentation. In addition, it is the adverse event classification dictionary endorsed by the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH). MedDRA is used in the United States, European Union, and Japan. Its use is currently mandated in Europe and Japan for safety reporting.