Data integrity is the reliability, consistency, and accuracy of data at rest and in transit. Quality data adheres to several standards, beginning with integrity, confidentiality and availability.
Data integrity is a process to ensure consistent and accurate data over its life cycle. Requirements specify that data records need to be attributable, legible, contemporaneous, original, and accurate (ALCOA). In addition to the ALCOA, there is ALCOA+ which also requires data to be complete, consistent, enduring, and available.
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Good Practices for Data Management and Integrity
Compromised data can lead to poor business decisions. Any decisions based on inaccurate data are suspect during inspections. To ensure the integrity of your company’s data:
- Implement access controls. Locking and securing sensitive records and restricting unauthorized users from accessing data can reduce loss and corruption.
- Make backups. Once lost, raw data is irreplaceable. Backups must include original, raw data creates a duplicate in an alternate location.
- Validate the data. Automate digital validation by organizing and filtering data using scripts. Validation checks the quality of the data to be secure, meaningful and correct.
- Have a quality system in place. Having a quality system in place and ensuring procedures can be completed on- or off-site will help solve any issues.
- Think through changes. If you’re going to change processes to adapt to a more virtual environment where employees work from home, think about all necessary steps or procedures.
- Organize files and systems. Systemically arranging your files helps you easily pass off or explain data to others such as auditors and inspectors.
- Validate input. You can use input validation to block cyberattacks, such as structured query language (SQL) injection prevention. Checking input at the time it is recorded is crucial.
New Guidance From the Food and Drug Administration (FDA)
The best way to maintain a supply of safe and effective products and prevent a drug shortage is to comply with data integrity concepts to prevent batch rejection/recall and monitor sites and stay up to date on FDA guidelines. You can do this by:
- Reviewing the staff manual guide from 2017. This guide covers FDA internal procedures for requesting records in advance of or in place of a drug inspection.
- Ensuring your company has a quality culture. Complications during the COVID-19 pandemic have only made processes more complicated, so establishing procedures around quality culture can help deter issues.
- Building quality into your operations: make sure you have a strong training program and it’s importance to the organization and the product.
- Having a solid risk management plan. A solid risk management strategy can save you money, time, and unnecessary manufacturing disruptions and establish a process to deal with potential risks that may arise.
Learn More About Best Practices for Data Management and Integrity
Ensuring data integrity forms the basis for good business decisions. The best practices for data integrity and management rely on concrete strategies and planning.
Regulatory Compliance Associates® Inc. can help your organization prevent liabilities and errors or inconsistencies in data handling. If you want assistance in preparing your company for an FDA virtual agency inspection or would like to learn more about good practices for data management and integrity, reach out to our team today.