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Current issues in assuring data integrity in life sciences : 2 Days Seminar


Date
Nov 16, 2021 - 08:00 AM
Organizer
conference Manager
Venue
Live seminar
Location
WCS Consulting Inc.3190 Stirling Rd, Unit K4, Hollywood, FL 33021,

Hollywood,
Florida,
United States,
ZIP: 33021
Phone: 347 282-5400

Ticket Price: Seminar One Registration - $1,295.00 Special Group Discount Register for Four attendees - $ 3885

Course “2020 Current issues in assuring data integrity in life sciences “ has been Pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

"Each attendee will receive 2-Day workshop materials by the speaker. Seminar Also Includes Certificate, Complimentary Breakfast, Lunch & High Tea/Coffee provided by WCS"

 

Data Integrity is a major concern of regulatory agencies worldwide as evidenced by the increasing number of Warning Letters issued in that area.  Some managements have proceeded to implement data integrity programs on the lines of those implemented in “big data”.  This has resulted in the escalation of costs and it is disproportionate to the benefits gained.  Some even wonder why they continue to receive Warning Letters in spite of spending the dollars to implement programs such as Data Governance etc. etc.

This training focuses on implementing Data Integrity programs using “the least burdensome” approach, a technique that regulators themselves employ to conduct their audits. The training also addresses the evolving concepts and guidance from regulatory agencies such as the recently issued industry guidance on Part 11 for Clinical Investigations among many others.

 

Areas Covered

What is Data integrity

Data Life Cycle design and controls

Elements of a Data Integrity Assurance program

Roles and responsibilities of different groups in ensuring data integrity

What data integrity SOPs do auditors expect to see during audits

Validating Data Integrity

 

Who will Benefit

  • Pharmaceutical industry / Medical device industry / Healthcare industry personnel
  • Developers of software for use in Life Sciences industry
  • Validation service providers, IT service providers
  • Manufacturing personnel, Manufacturing Automation system vendors and system integrators
  • Regulatory Affairs group, Quality Unit
  • Laboratory personnel
  • Users of Cloud
  • Clinical Trial Sponsors

Learning Objectives

Some advanced Data Integrity topics include:

         Data Integrity triad

         Data Integrity Maturity Model

         Developing critical thinking skills

         Data Integrity Audit trends 

 


Agenda


Learning Objectives

Some advanced Data Integrity topics include:

         Data Integrity triad

         Data Integrity Maturity Model

         Developing critical thinking skills

         Data Integrity Audit trends 

 


Speaker Details


Chinmoy RoyBSEE, MSCS US FDA Expert Data integrity & CSV

 

Subject Matter Expert: Data Integrity, GAMP, CSV, CFR 21 Part 11, Annex 11, Quality Risk Management, Manufacturing Process Automation and IT systems

Chinmoy Roy has 37+ years of experience. He is an internationally recognized subject matter expert in CSV, CFR 21 Part 11, Annex 11, Data Integrity and manufacturing process automation systems. He has been invited to speak and conduct training workshops at several international conferences such as ISPE, WBF, Shimadzu’s annual conference for Asia Pacific, etc.

His expertise stems from his experience in implementing and obtaining “fit for use” certification for over 200 IT systems. He has worked at and consulted with leading US based companies such as Roche, Genentech, Bayer, Novartis, Johnson and Johnson etc. His pioneering efforts in implementing CFR 21 Part 11 compliant manufacturing IT systems in 1999 while employed by Genentech, was a precursor to FDA’s issuance of Part 11’s Scope and Application guidance in 2003. His workshops are unique in that he blends his field experience to provide case studies to explain the intricacies of implementing regulations. Chinmoy is an Electrical Engineer and a Computer Science post graduate.

 

 

Event Categories
Keywords: Educational, Learning




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