Data Integrity and Paperless Validation in Life Sciences

data-integrity

Companies in the life sciences industry face challenges in developing and maintaining data integrity due to complex validation documentation. Maintaining data consistency, accuracy, and integrity across many documents can be challenging.

Recently, notable data integrity violations occurred in global pharmaceuticals, biotechnology, and life sciences organisations giving rise to complex data validation in the creation of medical treatments that cure or prevent disease.

As Data integrity requires a daily commitment to safeguarding information, it is challenging for life sciences businesses. Data accuracy and reliability are key priorities for regulatory agencies like the FDA. Data integrity problems can be detected and prevented with the aid of flexible, risk-based strategies provided by CGMP guidelines.

Companies should deploy meaningful and effective strategies for reducing data integrity risks based on their process knowledge and knowledge of technologies and business models. To maintain the safety, efficacy, and quality of drugs as well as to protect public health, firms should ensure that CGMP violations are not committed.

What is Data Integrity?

Data integrity is high-quality, accurate, and totality of data as it is maintained over time and across formats. Preserving the integrity of the FDA-regulated industries’ data is a constant process as it ensures the quality of the product.

The FDA Data Integrity requirements are summed up by the acronym ALCOA.

ALCOA is a collection of principles that ensures data integrity. ALCOA is the acronym of Attributable, Legible, Contemporaneous, Original, and Accurate.

Data Integrity demands that information be collected, documented, and reported in a way that accurately, truthfully, and completely represents the original.

Data integrity can be preserved through Good Documentation Practices (GDPs). There should always be data integrity at the core of any record – whether it is paper or electronic – and it is, undoubtedly, the most researched topic within life sciences.

Traditional-vs-Paperless Validation

Traditionally, validation or documentation of works performed ( for example equipment, computer systems, and processes) has been done by writing important data on certified printed test documentation according to the FDA regulations.

It typically involves getting wet-signature approvals at various stages. Thereafter, the records are kept and archived for the appropriate period of time before being discarded.

Printing, scanning, archiving, reviewing, and approving validation papers are worthless and consume a large number of resources. The inefficiencies that plagued paper-based validation processes are eliminated with paperless validation solutions.

Paperless Validation

The advantages of paperless validation: the uniformity of content, look, and feel of the document is possible to meet the requirement of a leaner, efficient, and compliant validation execution.

It incorporates all system components online, including document generation, review, execution, approval, and storage. The validation tests are conducted using software tools that enable real-time data to be recorded.

A well-integrated system would also enable correlation between regulatory data integrity standards and protocols without requiring physical copies as proof. Approvals may be issued electronically. Storage and archiving of data would eliminate physical storerooms and the need for space for storing records until they are no longer needed.

The purpose of a Paperless Validation solution is to ensure consistency in approach (harmonization, templates, etc.), as well as include features to assist in document preparation and execution, ensuring that they are better managed and can more easily be retrieved.

Advantages of Paperless Validation:

  • Increased Compliance: Organizations will face fewer regulatory concerns and data integrity will improve.
  • More productive work: ‘Doing it right the First Time’, Reducing compliance time, making projects agile, and having a “knowledge database”
  • Lower validation costs: The traditional validation costs like printing paper waste are eliminated, time and physical effort to track the documents is reduced, physical storage space for documents, printing, and scanning costs for documentation can be avoided until the required time. This can be considered a sustainable approach as no paper, no printers, no cartridge is disposed of.
  • Collaborative work: Connecting teams from different countries and data/records are immediately available to all resources involved in clinical research/validation.
  • Easier validation status maintenance: With frequent updates and periodic inspections, the time it takes to maintain validation status is reduced.
  • Easier audits: Data is immediately available.

Paperless Validation Software reduces your team’s workload, allowing you to save up to 65% on the validation process.

Several paperless validation software programs support the entire application lifecycle, and pharmaceutical firms have begun taking advantage of them. Through paperless validation tools, the entire CSV/CSA life cycle is digitized, enabling productivity, cycle time, and compliance improvements.

The application lifecycle management software allows you to manage the whole validation process including the analysis of user requirements, the design and implementation of IQ, OQ, and PQ protocols, the generation of traceability matrix, and the generating of Validation Summary Report in one easy-to-use application.

There are plenty of new paperless validation solutions available that support Computer Software Assurance. Implementing paperless execution reduces GDP errors and improves data integrity by ensuring standard functionality that complies with ALCOA.

Summary:

Creating and managing extensive paper-based documentation is difficult for companies in the life sciences sector. Our life sciences industries, on the other hand, have not fully embraced technology and its potential for digitally managing data as electronic records. Using new technologies, life sciences companies could use less or no paper to develop validation documentation and maintain validation of their systems. We are in the midst of the digital age, and it is also the time for paperless validation.

FAQ's

What is Paperless Validation?

Paperless validation is an electronic procedure that ensures that Life Science companies validate the equipment’s, software, and processes, including a series of tests, comply with FDA regulations. The goal of the paperless validation process is to replace the present paper-based process by conducting document production, review, execution, approval, and storage online. Validation tests are carried out with the use of software programs that record real-time data.

Why Paperless Validation?

Paperless Validation allows for end-to-end paperless control of the whole validation process. Ensure a smooth transition from protocol creation through approval and release for paperless execution, as well as review and approval after approval. It also enables multi team collaboration, lower validation costs, and faster validation times, guaranteeing that data and records are always auditable.

How do you validate data integrity?

Validation of Data (Integrity) is the process of analyzing a data collection in order to determine specific characteristics of Data Quality and determine appropriate repair measures. Cleaning and monitoring the data input source, auditing the audit trails to ensure all traces of data are recorded in the audit trail, performing a regular back of data, and ensuring limited access to data storage places are all ways to assure data integrity.

What is the difference between data integrity and data validity?

By following the ALCOA principles, data integrity ensures that information remains unmodified from its source. Maintaining data and validating it on a regular basis to guarantee that it is full, unexpired, effective, useable, and in excellent form is known as data validity.

What are the different types of data integrity?

Data integrity comes in a variety of forms. We must determine which sort of data integrity strategy we will use based on the project or application requirements. Physical integrity is the initial level of data integrity. Logical integrity is the second kind of data integrity. The process is a collection of physical and logical integrity.

There are four types of logical integrity:

  • Domain Integrity
  • Entity Integrity
  • Referential Integrity
  • User-Defined Integrity
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