This document provides an introduction to computerized system validation. It discusses the importance of validating computerized systems used in quality and testing laboratories to ensure accurate and reliable results. The document outlines some of the key regulatory requirements for computerized system validation from international regulations like EU GMP and US CFR Part 11. It also discusses the difference between qualification and validation activities and explains the various stages of the computerized system validation life cycle from creating specifications and risk assessments to testing, documenting results and ensuring ongoing compliance.
This presentation describes approaches for software validation used to automate laboratory research procedures, consolidate data collection and analysis and/or run sophisticated QC or manufacturing operations.
Several approaches to software validation exist and may be appropriate for a specific project.
The scope of any validation effort depends upon a number of factors
Size and complexity of the software,
Origin of the software (custom vs. off-the-shelf) and
Whether the functions are critical or non-critical in nature.
By effectively planning the process, validation time and resources can be reduced while meeting regulatory requirements.
Computer System Validation - The Validation Master PlanWolfgang Kuchinke
Computer System Validation (CSV) is the process used to ensure and document that a computerbased system is operating according to predefined requirements. CSV is necessary when replacing paper records, like
Case Report Forms for clinical trials, with an electronic system within the highly regulated data zone that impacts public health and safety. Necessary validation documents are for example the Standard Operating Procedures (SOPs), which outline how the computer system should be used. Here, we describe in detail the System Validation Master Plan, the most important document in Computer System Validation. In contains topics, like: Validation Policy, Definition of Validation, Rules and Regulations in CSV, Legal basis, FDA 21 CFR Part 11, FDA Guidance for industry, ICH Guideline GCP, Annex 11 EU-GMP, Validation Philosophy, Organisation validation document, Audit Reports, Organisation guidelines, Organisation quality management handbook, etc.
The steps of the Validation Life Cycle are: 1. System Specification, 2. System Classification, 3. Validation Planning, 4. Establishing of the validated state, 5. Maintaining the validated state, 6. System Retirement.
This presentation is about the validation of software. It focus on the validation of software used in pharmacy. It contains definition of validation, computer system and validation of computer system. It explains the models which are used for software validation and on example i.e. HPLC software validation.
This Presentation gives an idea about validation and different type of validation and overview of computer system/software validation and basics steps for computer system validations as per the regulatory and user requirement specifications.
Analytical Instrument Qualification forms the base for generating quality data. The USP chapter 1058 describes a scientific and risk-based approach to analytical instrument qualification. The 2017 revision is planned for publication on 1 December 2017.
This presentation describes approaches for software validation used to automate laboratory research procedures, consolidate data collection and analysis and/or run sophisticated QC or manufacturing operations.
Several approaches to software validation exist and may be appropriate for a specific project.
The scope of any validation effort depends upon a number of factors
Size and complexity of the software,
Origin of the software (custom vs. off-the-shelf) and
Whether the functions are critical or non-critical in nature.
By effectively planning the process, validation time and resources can be reduced while meeting regulatory requirements.
Computer System Validation - The Validation Master PlanWolfgang Kuchinke
Computer System Validation (CSV) is the process used to ensure and document that a computerbased system is operating according to predefined requirements. CSV is necessary when replacing paper records, like
Case Report Forms for clinical trials, with an electronic system within the highly regulated data zone that impacts public health and safety. Necessary validation documents are for example the Standard Operating Procedures (SOPs), which outline how the computer system should be used. Here, we describe in detail the System Validation Master Plan, the most important document in Computer System Validation. In contains topics, like: Validation Policy, Definition of Validation, Rules and Regulations in CSV, Legal basis, FDA 21 CFR Part 11, FDA Guidance for industry, ICH Guideline GCP, Annex 11 EU-GMP, Validation Philosophy, Organisation validation document, Audit Reports, Organisation guidelines, Organisation quality management handbook, etc.
The steps of the Validation Life Cycle are: 1. System Specification, 2. System Classification, 3. Validation Planning, 4. Establishing of the validated state, 5. Maintaining the validated state, 6. System Retirement.
This presentation is about the validation of software. It focus on the validation of software used in pharmacy. It contains definition of validation, computer system and validation of computer system. It explains the models which are used for software validation and on example i.e. HPLC software validation.
This Presentation gives an idea about validation and different type of validation and overview of computer system/software validation and basics steps for computer system validations as per the regulatory and user requirement specifications.
Analytical Instrument Qualification forms the base for generating quality data. The USP chapter 1058 describes a scientific and risk-based approach to analytical instrument qualification. The 2017 revision is planned for publication on 1 December 2017.
This document covers most of the topics in the CSV like Importance of CVS, Why to perform CSV, Validation Deliverables, Part 11 and Annex 11 Diferences
Computerized system validation (CSV) as a requirement for good manufacturing ...Ahmed Hasham
The biopharmaceutical industries has more and more used computers to support and accelrate producing of their
products. Computer systems also are accustomed support routine offer of high quality products to boost production
process performance, scale back production prices, and improve product quality. it's vital that these systems square
measure suitable purpose from a business and restrictive perspective. Regulatory authorities treat a lack of regulatory
computer system compliance as a serious GxP deviation.
Computer System Validation (CSV) is a core requirement for several industries. The aim of Computer System Validation is to ensure, through documentation, that the computer systems function the way they are intended to, consistently, repeatedly and reproducibly, somewhat in the manner expected of scientific experiments. So, the validation, meaning authentication or corroboration, is something that has to be done right from the start, that is, defining the computer system, to their use and going all the way right up to the time the computer system is retired.
An introduction to Life Sciences Computer System Validation, applicable regulation, SDLC phases, software categorisation, risk/ change/ deviation management, validation deliverable, risk based approach, regulatory inspection, audit findings, causes of compliance failure, key concepts in CSV etc.
Data Integrity app Link: https://play.google.com/store/apps/details?id=com.innovativeapps.dataintegrity&hl=en
One Step Ahead in Pharma Compliance
Across the internet, there are millions of resources are available which provide information about Computer System Validation.
Refer above Data Integrity app which helps you to understand current regulatory agencies thinking on Data Integrity.
Computerized System Validation Business Intelligence SolutionsDigital-360
Executive Summary
Regulated pharmaceutical, biotech and medical device companies are challenged to develop manufacturing capabilities quickly and cost-effectively while at the same time safeguarding product quality and patient safety.
Validation has been an essential part of regulated industries for over 20 years, yet as the field has evolved, little has changed in the business, or manual, approach to validation.
What is 21 CFR Part 11?:
21 CFR Part 11:
Allow the industry to use electronic records and signatures alternatively to paper records and hand-written signatures
21 CFR Part 11 applies:
To all FDA regulated environments
When using computers in the creation, modification, archiving, retrieval or transmission of data or records
To records required by predicate rules – GLP, GCP, GMP – that impact patient safety
To new and old systems
Purpose of Part 11
Ensure data is not corrupted or lost
Data is secure
Approvals cannot be repudiated
Changes to data can be traced
Attempts to falsify records are made difficult and can be detected
Types of Systems
Two types of systems that come under 21 CFR Part 11 – closed and open systems
Closed and Open Systems:
What is a Closed system?
A system to which access is controlled by person responsible for electronic records stored on it
What is an Open system?
A system to which access is not controlled by those responsible for the electronic records stored on it
21 CFR Part 11 Requirements:
21 CFR Part 11 lists the following controls for closed systems:
Validation
Device checks
Operational system checks
Accurate and complete copies
Accurate and steady retrieval
Limited access to systems and data
Authority checks
Electronic audit trail
Training/qualification of personnel
Accountability of signatures
Control over system documentation
Digital Signatures :
Use of digital signatures for open systems
Electronic Signatures
Requirements for signed electronic records
Linking records to signatures
Overview on “Computer System Validation” CSVAnil Sharma
HI this is Anil Sharma, Executive Compliance in USV LTD. I want to share my brief knowledge on CSV with you. I hope my presentation will help you to understand basics of CSV.
Presentation on data integrity in Pharmaceutical IndustrySathish Vemula
Presentation on data integrity in Pharmaceutical Industry
Contents:
- Definition & Basics
- Criteria for integrity of laboratory data
- Regulatory Requirements
- Barriers to Complete Data
- Possible data integrity problems
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to data integrity
- EU – Non compliance Reports
- WHO - Notice of Concern
- Summary of Data Integrity issues
- Consequences- Rebuilding Trust
- Conclusion
Explore the Implicit Requirements of the NERC CIP RSAWsEnergySec
Regulated entities should consider the RSAW templates when preparing evidence of compliance with the NERC CIP Standards. There are a number of implicit requirements in CIP v5 which an entity needs to fulfill to be compliant, which are not specifically identified in the actual requirements.
In this webinar, our experts will discuss such implicit requirements. Key learning's from this session would be:
RSAW format
Implicit requirements of CIP RSAWs
Leveraging technology for RSAW management
Data Integrity II - Chromatography data system (CDS) in PharmaSathish Vemula
- Introduction
- Functions of CDS
- Validation of CDS
- Regulatory requirements
- Procedures required
- Areas for ensuring CDS Data Integrity
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to CDS
- EU – Non compliance Reports
- WHO - Notice of Concern
- How to avoid observations ?
- Conclusion
This document covers most of the topics in the CSV like Importance of CVS, Why to perform CSV, Validation Deliverables, Part 11 and Annex 11 Diferences
Computerized system validation (CSV) as a requirement for good manufacturing ...Ahmed Hasham
The biopharmaceutical industries has more and more used computers to support and accelrate producing of their
products. Computer systems also are accustomed support routine offer of high quality products to boost production
process performance, scale back production prices, and improve product quality. it's vital that these systems square
measure suitable purpose from a business and restrictive perspective. Regulatory authorities treat a lack of regulatory
computer system compliance as a serious GxP deviation.
Computer System Validation (CSV) is a core requirement for several industries. The aim of Computer System Validation is to ensure, through documentation, that the computer systems function the way they are intended to, consistently, repeatedly and reproducibly, somewhat in the manner expected of scientific experiments. So, the validation, meaning authentication or corroboration, is something that has to be done right from the start, that is, defining the computer system, to their use and going all the way right up to the time the computer system is retired.
An introduction to Life Sciences Computer System Validation, applicable regulation, SDLC phases, software categorisation, risk/ change/ deviation management, validation deliverable, risk based approach, regulatory inspection, audit findings, causes of compliance failure, key concepts in CSV etc.
Data Integrity app Link: https://play.google.com/store/apps/details?id=com.innovativeapps.dataintegrity&hl=en
One Step Ahead in Pharma Compliance
Across the internet, there are millions of resources are available which provide information about Computer System Validation.
Refer above Data Integrity app which helps you to understand current regulatory agencies thinking on Data Integrity.
Computerized System Validation Business Intelligence SolutionsDigital-360
Executive Summary
Regulated pharmaceutical, biotech and medical device companies are challenged to develop manufacturing capabilities quickly and cost-effectively while at the same time safeguarding product quality and patient safety.
Validation has been an essential part of regulated industries for over 20 years, yet as the field has evolved, little has changed in the business, or manual, approach to validation.
What is 21 CFR Part 11?:
21 CFR Part 11:
Allow the industry to use electronic records and signatures alternatively to paper records and hand-written signatures
21 CFR Part 11 applies:
To all FDA regulated environments
When using computers in the creation, modification, archiving, retrieval or transmission of data or records
To records required by predicate rules – GLP, GCP, GMP – that impact patient safety
To new and old systems
Purpose of Part 11
Ensure data is not corrupted or lost
Data is secure
Approvals cannot be repudiated
Changes to data can be traced
Attempts to falsify records are made difficult and can be detected
Types of Systems
Two types of systems that come under 21 CFR Part 11 – closed and open systems
Closed and Open Systems:
What is a Closed system?
A system to which access is controlled by person responsible for electronic records stored on it
What is an Open system?
A system to which access is not controlled by those responsible for the electronic records stored on it
21 CFR Part 11 Requirements:
21 CFR Part 11 lists the following controls for closed systems:
Validation
Device checks
Operational system checks
Accurate and complete copies
Accurate and steady retrieval
Limited access to systems and data
Authority checks
Electronic audit trail
Training/qualification of personnel
Accountability of signatures
Control over system documentation
Digital Signatures :
Use of digital signatures for open systems
Electronic Signatures
Requirements for signed electronic records
Linking records to signatures
Overview on “Computer System Validation” CSVAnil Sharma
HI this is Anil Sharma, Executive Compliance in USV LTD. I want to share my brief knowledge on CSV with you. I hope my presentation will help you to understand basics of CSV.
Presentation on data integrity in Pharmaceutical IndustrySathish Vemula
Presentation on data integrity in Pharmaceutical Industry
Contents:
- Definition & Basics
- Criteria for integrity of laboratory data
- Regulatory Requirements
- Barriers to Complete Data
- Possible data integrity problems
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to data integrity
- EU – Non compliance Reports
- WHO - Notice of Concern
- Summary of Data Integrity issues
- Consequences- Rebuilding Trust
- Conclusion
Explore the Implicit Requirements of the NERC CIP RSAWsEnergySec
Regulated entities should consider the RSAW templates when preparing evidence of compliance with the NERC CIP Standards. There are a number of implicit requirements in CIP v5 which an entity needs to fulfill to be compliant, which are not specifically identified in the actual requirements.
In this webinar, our experts will discuss such implicit requirements. Key learning's from this session would be:
RSAW format
Implicit requirements of CIP RSAWs
Leveraging technology for RSAW management
Data Integrity II - Chromatography data system (CDS) in PharmaSathish Vemula
- Introduction
- Functions of CDS
- Validation of CDS
- Regulatory requirements
- Procedures required
- Areas for ensuring CDS Data Integrity
- Previous observations
- FDA Warning Letters – 2013
- FDA Warning Letters – 2014
- FDA 483’s related to CDS
- EU – Non compliance Reports
- WHO - Notice of Concern
- How to avoid observations ?
- Conclusion
Risk assessment for computer system validationBangaluru
A risk assessment is a process to identify potential hazards and analyze what could happen if a hazard occurs.
Computer system validation (sometimes called computer validation or CSV) is the process of documenting that a computer system meets a set of defined system requirements.
This presentation reviews the regulatory requirements for intended use validation of SaaS-based EDC systems from the Sponsor and CRO perspective and provides best practices for implementing the proper validation in your organization.
Equipment used in pharmaceuticals dosage form manufacturing need to observe continuous qualification to monitor its performance and Concept of URS ,DQ, IQ,OQ,PQ,MQ...
Calibration, preventative maintenance, Asset Management in Bio-Med Applications. How to comply the FDA validation and Part 11 requirements? computer software for calibration/PM and asset management processes.
To learn about more details, please check out this article.
https://www.qualcy.com/blog/calibration-management-software-asset-management/
computer system is a latest validation system in pharmaceutical industries.
To compliance with the good laboratory practice and good manufacturing practice.
it`s part of 211CFR part 11.
Validation strategies for cloud-based EDCs: more innovation, less effortVeeva Systems
Watch the video here: https://bit.ly/2SxsAxO
Validation concerns can hold companies back from adopting innovations in their clinical systems
Validation concerns can hold companies back from adopting the latest innovations in their EDC systems. Differing opinions on the appropriate level of system validation can also add stress within an organization. It is possible to implement new features and stay validated with relatively little effort if you use validation techniques tailored to cloud-based systems.
In this session, we address how to set the right approach, what to expect from a cloud EDC software provider and what you should expect to do as a sponsor or CRO to perform the initial validation and maintain a validated state following subsequent releases.
Who Will Benefit:
* Clinical Data Manager
* Clinical Data Director
* Head of Clinical Data
* Clinical Operations Manager
* Clinical Operations Director
* Data management
* Biostatistics
* Data science
* Clinical science
* EDC
* Biometrics
* eClinical
Meet Your Presenters:
Natalie Townsend
Senior Solution Consultant, Vault CDMS
As Senior Solution Consultant for Vault CDMS Natalie is responsible for understanding customer challenges and objectives and providing technical product demonstrations tailored to address these needs. Natalie has 16+ years industry experience in designing, implementing and supporting eClinical solutions to address the myriad of challenges faced across biopharmaceutical organizations. Her experience with clinical trials spans a broad range of sponsors and therapeutic areas across all phases and regions, allowing her to appreciate the differing technology considerations and needs.
Tanya du Plessis
Vice President of data strategies and solutions, Bioforum the Data Masters
Tanya is Vice President of data strategies and solutions at Bioforum. She has vast experience across the industry through her current role at Bioforum, as well as the 14 years she spent with IQVIA (legacy Quintiles). Throughout her career, Tanya has worked with multinational pharmaceutical companies as well as small-to-mid size biotechs and startups. She has led various data management operations and programs, heading numerous innovation teams and spearheading the development of strategies for customized data delivery solutions, focusing on timely, quality data. A certified clinical data manager (CCDM, SCDM), Tanya holds a M.Med.Sc in Hematology and Cell Biology from University of the Free State in South Africa. She also has a project management professional certification (PMP, PMI).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Click – consider customised OQ for case study
May want to write additional tests around qPCR print capture
All of these activities require SOPs to govern user actions
Some of these SOPs will be specific to our system, others will cover a group of systems or even the whole site
Customers may have some, none or all of these.
This affects greatly how much work is involved – very important to find this out early on and capture it in the statement of work