SlideShare uma empresa Scribd logo
1 de 15
Common regulatory issues and
  challenges in dealing with
        eSubmissions
   through FDA electronic
    submissions gateway

                   Jayprakash
                   Sr. Project Leader
                        Nov. 2012
Disclaimer

While every effort is made by the author to
ensure that all the information provided is
accurate and solely for the information
purpose   only,  the   author   accepts  no
liability for the consequences of any
actions   taken  on   the   basis   of  the
information provided. Any views or opinions
presented in this research study are solely
those of the author and do not necessarily
represent any company or agency.
Introduction

 The Food and Drug Administration (FDA) Electronic Submissions
  Gateway (ESG) is an Agency-wide solution for accepting electronic
  regulatory submissions.

 Implementation of FDA ESG into production in May, 2006.

 In 2006 itself, FDA ESG received 58,664 electronic submissions for
  AERS, CDER, CBER & CDRH Centers.

 Improves cost savings, reduce resource requirements, and time
  efficiencies for both Sponsors and the Agency.

 OC started receiving SPL submissions from 2008 and became a
  mandate after 30 June 2009.

 OC received a total of 173,732 electronic submissions till now.
Constraints

 The FDA ESG does not review submissions and only automatically
  routes documents to the chosen Office or Center.

 Users often face common validation issues due to either user
  discrepancy or new FDA guidelines.

 A failed submission creates a chain of resubmissions.

 Delays the product approval causing severe impact on the business
  of the company.

 A failed electronic submission requires additional resources to fix it.

 Resubmission adds up additional cost to the company.

 Multiple resubmissions from various users increase additional traffic
  on the gateway which impacts its efficiency and consistency.
Case Study

 To identify the factors which cause validation errors during electronic
  submissions made to OC for SPL documents.
 Aim was to take preventive and corrective actions (CAPA) and a
  control plan to achieve at least 95% success rate for electronic
  submissions made to FDA ESG OC Center during first attempt.

 Project Charter
BUSINESS CASE

   This company submitted total 119 Structured Product Labeling documents to FDA ESG from Oct
    2009 to Mar 2011, Out of which 65 passed and 54 SPL documents failed the FDA ESG Validation.
   This higher ratio of failures is affecting the SPL conversion Turnaround time, Productivity,
    Customer Satisfaction and may result in Loss of Services Contract.
PROBLEM STATEMENT

   The SPL Consulting Team has received numerous grievances from the customer regarding
    frequent SPL failures at FDA ESG and delayed approvals for their product.
   Failure to create/convert total compliant SPL ,negatively impacts customer satisfaction and
    increases cost to both the company business and the customer.
GOAL STATEMENT

   To improve the SPL submission success rate from 54.62% to 95% by Dec 2011 and reduce the
    SPL conversion Turnaround time to 5 days.
Case Study

 The current Sigma value (Z) before the implementation of the Green
  Belt project.


Details                                  Symbols           Values


Defect opportunities per Unit            O =                 1


Number of units processed                N =                119


Total number of defects made
                                         D =                 54
(include defects made and later fixed)


Defects Per Opportunity                  DPO = D/N*O     0.453781513


Yield                                    (1-DPO)*100        54.62


Process Sigma (Short term)               Z =                 1.6
Case Study

 The number of errors after implementation of the Green Belt Project
  was reduced drastically.

STATISTICAL PROCESS CONTROL – SPL DOCUMENT TYPE

                     Before                                                         After
                SPL Document Types                                    SPL Document Types
                 Failed       Total Submitted                          Failed         Total Submitted
                                                                                                        79
                                                      76




                                                41

                                29
                                                                                      22
           14                                                    12
                          9
     4                                                                                            2
                                                           0                    0


     LCR                  ERF                   SPL        LCR                  ERF               SPL
Case Study

 The % of defective items was reduced by 96% from 45.38% to 1.77%.
BINOMIAL CAPABILITY COMPARISON
Case Study

 By implementing the new proposed solution the process sigma
  improved from 1.6 Sigma to 3.6 sigma.


Details                                  Symbols         Before       After


Defect opportunities per Unit            O=                1            1



Number of units processed                N=               119          113


Total number of defects made
                                         D=                54           2
(include defects made and later fixed)


Defects Per Opportunity                  DPO = D/N*O   0.453781513   0.017699



Yield                                    (1-DPO)*100      54.62       98.23


Process Sigma (Short term)               Z=                1.6         3.6
Current Scope

 Six Sigma Green Belt Project was done only for the SPL submissions
  made to OC by a Regulatory Compliance vendor.

 Submission made by all users to all the FDA Centers are prone to
  much more issues.

 If all these submissions made to all FDA Centers are monitored and
  assessed for submission failures, the scope for improvement will
  definitely be massive.

 A total of 3,806,019 electronic submissions were made to FDA ESG
  till now.

 In 2012 itself, 1,166,872 electronic submissions made to FDA ESG.
Submission Statistics

2006 - 2012
              2006      2007      2008      2009      2010       2011        2012       Totals
  Totals



  AERS        55,156   159,562   252,614   300,672   472,142    557,917     595,182    2,393,245


  CDER        1,639    11,175    24,797    45,510    69,739     93,503      88,367     334,730

  CBER         294      1,504     2,557     4,483     5,588      6,397       5,736      26,559

  CDRH        1,575     1,527     4,619    21,296    119,087    280,312     390,355    818,771

   CVM                   288       843       859       945      17,932      30,268      51,135

   OC                              188     16,275    48,232     55,676      53,361     173,732

   CTP                                        5        223       348         520        1,096

  MWP                                                 1,138      2,530       2,361      6,029

   ACA                                                                        53          53

 GDUFA                                                                       669         669


  Totals      58,664   174,056   285,618   389,100   717,094   1,014,615   1,166,872   3,806,019
Future Trends

 FDA ESG is the most advanced & busiest gateway. Scope to move to
  the next level of electronic submissions going forward.

 With Artificial Intelligence, the role of FDA ESG can be enhanced to
  handle complex validation rules and automate major of the review
  system to process the electronic submission at much faster pace.

 With Auto Correction feature, FDA ESG will fix minor issues to save
  time, effort and cost.

 FDA ESG Auto Renewal component will renew the recurring renewal
  submissions and reduce load on the system.

 An integrated ESG can help the companies with single submission
  multiple approvals for different countries.

 The performance reports based on each user with passed and failed
  status can be introduced to help them assess their proficiency.
Conclusion

 The scope is wide open and confirms the issues focused are only the
  tip of the iceberg.

 This electronic submission process needs more consideration and
  shall be open for further analysis.

 Goal shall be to enhance all the electronic submissions made to FDA
  ESG at 95 % success rate at the first attempt itself.

 Electronic submissions validated during first attempt will eliminate the
  need for resubmissions.

 Companies can save on Cost, Effort & Time required to fix the failed
  electronic submissions at FDA ESG.

 Lessen the burden on the gateway, increasing its efficiency and
  consistency.
Courtesy

 FDA.gov :
  http://www.fda.gov/ForIndustry/ElectronicSubmissionsGateway/ucm1
  10653.htm

 Professional Services Group – Virtify Inc. (http://www.virtify.com)

 Getting started with the FDA’s electronic submissions gateway -
  (Regulatory Rapporteur – Vol 7, No 9, September 2010)
Questions & Answers


 Jayprakashreddy

 Reddyjayprakash

Mais conteúdo relacionado

Destaque

Six sigma green belt project template
Six sigma green belt project templateSix sigma green belt project template
Six sigma green belt project templateShankaran Rd
 
Bank of America : Mobile Banking
Bank of America : Mobile BankingBank of America : Mobile Banking
Bank of America : Mobile BankingNabduan Duangmanee
 
One Bank, One Architecture
One Bank, One ArchitectureOne Bank, One Architecture
One Bank, One ArchitecturePhi Jack
 
Bank of America presentation
Bank of America presentationBank of America presentation
Bank of America presentationSANDESH GHOSAL
 
2013 website redesign_project_charter_final
2013 website redesign_project_charter_final2013 website redesign_project_charter_final
2013 website redesign_project_charter_finallibamend
 
Bank of America Case Study - Enterprise Architecture in Mobile Banking
Bank of America Case Study - Enterprise Architecture in Mobile BankingBank of America Case Study - Enterprise Architecture in Mobile Banking
Bank of America Case Study - Enterprise Architecture in Mobile BankingMichael Greene
 

Destaque (11)

Six sigma green belt project template
Six sigma green belt project templateSix sigma green belt project template
Six sigma green belt project template
 
Bank of America : Mobile Banking
Bank of America : Mobile BankingBank of America : Mobile Banking
Bank of America : Mobile Banking
 
eCTD Submissions
eCTD SubmissionseCTD Submissions
eCTD Submissions
 
One Bank, One Architecture
One Bank, One ArchitectureOne Bank, One Architecture
One Bank, One Architecture
 
Bank of America
Bank of AmericaBank of America
Bank of America
 
Bank of America presentation
Bank of America presentationBank of America presentation
Bank of America presentation
 
Bank of America presentation
Bank of America presentationBank of America presentation
Bank of America presentation
 
2013 website redesign_project_charter_final
2013 website redesign_project_charter_final2013 website redesign_project_charter_final
2013 website redesign_project_charter_final
 
Bank of America Case Study - Enterprise Architecture in Mobile Banking
Bank of America Case Study - Enterprise Architecture in Mobile BankingBank of America Case Study - Enterprise Architecture in Mobile Banking
Bank of America Case Study - Enterprise Architecture in Mobile Banking
 
Six Sigma Sample Project
Six Sigma Sample ProjectSix Sigma Sample Project
Six Sigma Sample Project
 
Six sigma green belt project roadmap in 10 deliverables 2013 07
Six sigma green belt project roadmap in 10 deliverables 2013 07Six sigma green belt project roadmap in 10 deliverables 2013 07
Six sigma green belt project roadmap in 10 deliverables 2013 07
 

Semelhante a Common regulatory issues and challenges in dealing with eSubmissions through FDA electronic submissions gateway

When Agile is a Quality Game Changer Webinar - Michael Mah, Philip Lew
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip LewWhen Agile is a Quality Game Changer Webinar - Michael Mah, Philip Lew
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip LewXBOSoft
 
Supply chain design and operation
Supply chain design and operationSupply chain design and operation
Supply chain design and operationAngelainBay
 
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...
 apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina... apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...apidays
 
Test Metrics
Test MetricsTest Metrics
Test MetricsDevukjs
 
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...yieldWerx Semiconductor
 
Early Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor ComponentsEarly Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor ComponentsHilaire (Ananda) Perera P.Eng.
 
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects Analysis
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects AnalysisPoster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects Analysis
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects AnalysisAnas Momen
 
Samplerightlgiht
SamplerightlgihtSamplerightlgiht
Samplerightlgihtadambcarney
 
Sample RightLumen Guide
Sample RightLumen GuideSample RightLumen Guide
Sample RightLumen Guideadambcarney
 
Unified Systems Engineering feasibility
Unified Systems Engineering feasibilityUnified Systems Engineering feasibility
Unified Systems Engineering feasibilityEric Verhulst
 
Lean six sigma_webinar_presentation_slides
Lean six sigma_webinar_presentation_slidesLean six sigma_webinar_presentation_slides
Lean six sigma_webinar_presentation_slidessondhiya
 
N2DEF viewbook, Diesel Exhaust Fluid.
N2DEF viewbook, Diesel Exhaust Fluid.N2DEF viewbook, Diesel Exhaust Fluid.
N2DEF viewbook, Diesel Exhaust Fluid.Ed Foster
 
ProRecycle Pitch
ProRecycle PitchProRecycle Pitch
ProRecycle PitchProRecycle
 
Fault data spectrum an important quality tool
Fault data spectrum an important quality toolFault data spectrum an important quality tool
Fault data spectrum an important quality toolUmesh Krishnappa
 
Classical Techniques for PID Tunning: Review
Classical Techniques for PID Tunning: ReviewClassical Techniques for PID Tunning: Review
Classical Techniques for PID Tunning: ReviewIRJET Journal
 
Cairo 01 Six Sigma Measure
Cairo 01 Six Sigma MeasureCairo 01 Six Sigma Measure
Cairo 01 Six Sigma Measureahmad bassiouny
 

Semelhante a Common regulatory issues and challenges in dealing with eSubmissions through FDA electronic submissions gateway (20)

When Agile is a Quality Game Changer Webinar - Michael Mah, Philip Lew
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip LewWhen Agile is a Quality Game Changer Webinar - Michael Mah, Philip Lew
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip Lew
 
Supply chain design and operation
Supply chain design and operationSupply chain design and operation
Supply chain design and operation
 
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...
 apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina... apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...
 
Test Metrics
Test MetricsTest Metrics
Test Metrics
 
6 sigma
6 sigma6 sigma
6 sigma
 
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...
The Indispensable Role of Outlier Detection for Ensuring Semiconductor Qualit...
 
Early Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor ComponentsEarly Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor Components
 
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects Analysis
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects AnalysisPoster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects Analysis
Poster_EGY_TE_Anas Momen_Hilal-Failure Modes and Effects Analysis
 
Samplerightlgiht
SamplerightlgihtSamplerightlgiht
Samplerightlgiht
 
Sample RightLumen Guide
Sample RightLumen GuideSample RightLumen Guide
Sample RightLumen Guide
 
Bryan allcock trl9 ready
Bryan allcock   trl9 readyBryan allcock   trl9 ready
Bryan allcock trl9 ready
 
Unified Systems Engineering feasibility
Unified Systems Engineering feasibilityUnified Systems Engineering feasibility
Unified Systems Engineering feasibility
 
Lean six sigma_webinar_presentation_slides
Lean six sigma_webinar_presentation_slidesLean six sigma_webinar_presentation_slides
Lean six sigma_webinar_presentation_slides
 
6 sigma LTE release management process improvement
6 sigma LTE release management process improvement6 sigma LTE release management process improvement
6 sigma LTE release management process improvement
 
N2DEF viewbook, Diesel Exhaust Fluid.
N2DEF viewbook, Diesel Exhaust Fluid.N2DEF viewbook, Diesel Exhaust Fluid.
N2DEF viewbook, Diesel Exhaust Fluid.
 
Mistake proofing smpl_1
Mistake proofing smpl_1Mistake proofing smpl_1
Mistake proofing smpl_1
 
ProRecycle Pitch
ProRecycle PitchProRecycle Pitch
ProRecycle Pitch
 
Fault data spectrum an important quality tool
Fault data spectrum an important quality toolFault data spectrum an important quality tool
Fault data spectrum an important quality tool
 
Classical Techniques for PID Tunning: Review
Classical Techniques for PID Tunning: ReviewClassical Techniques for PID Tunning: Review
Classical Techniques for PID Tunning: Review
 
Cairo 01 Six Sigma Measure
Cairo 01 Six Sigma MeasureCairo 01 Six Sigma Measure
Cairo 01 Six Sigma Measure
 

Common regulatory issues and challenges in dealing with eSubmissions through FDA electronic submissions gateway

  • 1. Common regulatory issues and challenges in dealing with eSubmissions through FDA electronic submissions gateway Jayprakash Sr. Project Leader Nov. 2012
  • 2. Disclaimer While every effort is made by the author to ensure that all the information provided is accurate and solely for the information purpose only, the author accepts no liability for the consequences of any actions taken on the basis of the information provided. Any views or opinions presented in this research study are solely those of the author and do not necessarily represent any company or agency.
  • 3. Introduction  The Food and Drug Administration (FDA) Electronic Submissions Gateway (ESG) is an Agency-wide solution for accepting electronic regulatory submissions.  Implementation of FDA ESG into production in May, 2006.  In 2006 itself, FDA ESG received 58,664 electronic submissions for AERS, CDER, CBER & CDRH Centers.  Improves cost savings, reduce resource requirements, and time efficiencies for both Sponsors and the Agency.  OC started receiving SPL submissions from 2008 and became a mandate after 30 June 2009.  OC received a total of 173,732 electronic submissions till now.
  • 4. Constraints  The FDA ESG does not review submissions and only automatically routes documents to the chosen Office or Center.  Users often face common validation issues due to either user discrepancy or new FDA guidelines.  A failed submission creates a chain of resubmissions.  Delays the product approval causing severe impact on the business of the company.  A failed electronic submission requires additional resources to fix it.  Resubmission adds up additional cost to the company.  Multiple resubmissions from various users increase additional traffic on the gateway which impacts its efficiency and consistency.
  • 5. Case Study  To identify the factors which cause validation errors during electronic submissions made to OC for SPL documents.  Aim was to take preventive and corrective actions (CAPA) and a control plan to achieve at least 95% success rate for electronic submissions made to FDA ESG OC Center during first attempt.  Project Charter BUSINESS CASE  This company submitted total 119 Structured Product Labeling documents to FDA ESG from Oct 2009 to Mar 2011, Out of which 65 passed and 54 SPL documents failed the FDA ESG Validation.  This higher ratio of failures is affecting the SPL conversion Turnaround time, Productivity, Customer Satisfaction and may result in Loss of Services Contract. PROBLEM STATEMENT  The SPL Consulting Team has received numerous grievances from the customer regarding frequent SPL failures at FDA ESG and delayed approvals for their product.  Failure to create/convert total compliant SPL ,negatively impacts customer satisfaction and increases cost to both the company business and the customer. GOAL STATEMENT  To improve the SPL submission success rate from 54.62% to 95% by Dec 2011 and reduce the SPL conversion Turnaround time to 5 days.
  • 6. Case Study  The current Sigma value (Z) before the implementation of the Green Belt project. Details Symbols Values Defect opportunities per Unit O = 1 Number of units processed N = 119 Total number of defects made D = 54 (include defects made and later fixed) Defects Per Opportunity DPO = D/N*O 0.453781513 Yield (1-DPO)*100 54.62 Process Sigma (Short term) Z = 1.6
  • 7. Case Study  The number of errors after implementation of the Green Belt Project was reduced drastically. STATISTICAL PROCESS CONTROL – SPL DOCUMENT TYPE Before After SPL Document Types SPL Document Types Failed Total Submitted Failed Total Submitted 79 76 41 29 22 14 12 9 4 2 0 0 LCR ERF SPL LCR ERF SPL
  • 8. Case Study  The % of defective items was reduced by 96% from 45.38% to 1.77%. BINOMIAL CAPABILITY COMPARISON
  • 9. Case Study  By implementing the new proposed solution the process sigma improved from 1.6 Sigma to 3.6 sigma. Details Symbols Before After Defect opportunities per Unit O= 1 1 Number of units processed N= 119 113 Total number of defects made D= 54 2 (include defects made and later fixed) Defects Per Opportunity DPO = D/N*O 0.453781513 0.017699 Yield (1-DPO)*100 54.62 98.23 Process Sigma (Short term) Z= 1.6 3.6
  • 10. Current Scope  Six Sigma Green Belt Project was done only for the SPL submissions made to OC by a Regulatory Compliance vendor.  Submission made by all users to all the FDA Centers are prone to much more issues.  If all these submissions made to all FDA Centers are monitored and assessed for submission failures, the scope for improvement will definitely be massive.  A total of 3,806,019 electronic submissions were made to FDA ESG till now.  In 2012 itself, 1,166,872 electronic submissions made to FDA ESG.
  • 11. Submission Statistics 2006 - 2012 2006 2007 2008 2009 2010 2011 2012 Totals Totals AERS 55,156 159,562 252,614 300,672 472,142 557,917 595,182 2,393,245 CDER 1,639 11,175 24,797 45,510 69,739 93,503 88,367 334,730 CBER 294 1,504 2,557 4,483 5,588 6,397 5,736 26,559 CDRH 1,575 1,527 4,619 21,296 119,087 280,312 390,355 818,771 CVM 288 843 859 945 17,932 30,268 51,135 OC 188 16,275 48,232 55,676 53,361 173,732 CTP 5 223 348 520 1,096 MWP 1,138 2,530 2,361 6,029 ACA 53 53 GDUFA 669 669 Totals 58,664 174,056 285,618 389,100 717,094 1,014,615 1,166,872 3,806,019
  • 12. Future Trends  FDA ESG is the most advanced & busiest gateway. Scope to move to the next level of electronic submissions going forward.  With Artificial Intelligence, the role of FDA ESG can be enhanced to handle complex validation rules and automate major of the review system to process the electronic submission at much faster pace.  With Auto Correction feature, FDA ESG will fix minor issues to save time, effort and cost.  FDA ESG Auto Renewal component will renew the recurring renewal submissions and reduce load on the system.  An integrated ESG can help the companies with single submission multiple approvals for different countries.  The performance reports based on each user with passed and failed status can be introduced to help them assess their proficiency.
  • 13. Conclusion  The scope is wide open and confirms the issues focused are only the tip of the iceberg.  This electronic submission process needs more consideration and shall be open for further analysis.  Goal shall be to enhance all the electronic submissions made to FDA ESG at 95 % success rate at the first attempt itself.  Electronic submissions validated during first attempt will eliminate the need for resubmissions.  Companies can save on Cost, Effort & Time required to fix the failed electronic submissions at FDA ESG.  Lessen the burden on the gateway, increasing its efficiency and consistency.
  • 14. Courtesy  FDA.gov : http://www.fda.gov/ForIndustry/ElectronicSubmissionsGateway/ucm1 10653.htm  Professional Services Group – Virtify Inc. (http://www.virtify.com)  Getting started with the FDA’s electronic submissions gateway - (Regulatory Rapporteur – Vol 7, No 9, September 2010)
  • 15. Questions & Answers  Jayprakashreddy  Reddyjayprakash