By Devin Partida, Editor-in-Chief, ReHack.com
LinkedIn: Devin Partida
LinkedIn: ReHack Magazine
Traditional quality assurance depends on paper-based workflows, which are prone to human error and inefficiencies. The rise of data sharing and analysis in drug discovery, diagnostics, medical device manufacturing and pharmaceutical supply chains demands change. As a result, the role of information technology (IT) in life sciences quality management has grown. This evolution has transformed IT from a passive support function into a strategic partner essential for ensuring compliance, efficiency and data integrity.
IT’s Changing Role in Quality Management
As the industry moves away from paper-based recordkeeping and asset tracking, the performance and reliability of quality management systems become increasingly important. In the past, IT provided passive support by managing servers and ensuring network uptime. Now, teams are actively involved.
The Technical Realities of 21 CFR Part 820 Compliance
The quality management system regulation (QMSR), also known as 21 CFR Part 820, is set by the Food and Drug Administration (FDA). It outlines the current good manufacturing practices for establishing and maintaining quality management systems. It aims to ensure the safety and quality of medical devices.
Part 820 was updated in February 2026 to incorporate ISO 9000:2015 and ISO 13485:2016 as frameworks for design, production and life cycle control. The FDA has adopted new QMSR inspection processes. This adds to 21 CFR Part 11, which outlines the use of IT systems for audit trails, data management and digital signatures.
With quality assurance enshrined in law, the life sciences sector can no longer risk the delays or human errors associated with manual workflows. IT professionals must go beyond basic implementation and maintenance functions.
Cloud-Based QMS Platforms as the New Standard
Digitalization and automation have become fundamental for everything from data analysis to change control. Pharmaceutical companies must leverage centralized software solutions to compete in today’s digital-first environment. This technology can reduce noncompliance risks and accelerate time-consuming workloads. Meeting complex compliance requirements can be challenging without interconnected platforms.
How IT Transforms Quality Assurance Workflows
IT can support core life sciences quality management processes, such as audit trails, document control, and corrective and preventive action (CAPA) by ensuring data integrity and compliance.
Automating Workflows for Corrective and Preventive Action
Automating CAPA, document control and change management virtually eliminates human error and frees up quality assurance professionals to focus on more critical tasks. Digital records are easier to retrieve, share, translate and report, streamlining downstream workflows.
Centralizing Data to Create a Single Source of Truth
The IT team manages centralized, cloud-based data storage systems to create a single source of truth for all quality-related data. By ensuring this information is accurate, secure and readily accessible for analysis and auditing, they support compliance with FDA standards.
Managing Quality Across the Life Sciences Supply Chain
Quality assurance determines product safety and efficacy, which are essential for consumer trust. This, in turn, influences sales. An estimated 70% of consumers would pay more for transparent product information, especially regarding what they put in their bodies.
Their trust is not guaranteed, as products are vulnerable to counterfeits, tampering and temperature excursions during transportation. To ensure the integrity of biologics, supplements and medications, pharmaceutical supply chain management is key. IT systems handle these complexities by providing visibility, control and traceability.
Identifying Trends and Predicting Quality Problems
IT can go beyond deploying and maintaining digital tools. By funneling data from disparate systems into an analytics platform, they can identify hidden trends. This allows them to predict potential quality issues before they even occur, supporting continuous improvement. The department’s role may encompass model maintenance.
The Value of Robust IT Systems and Workflows
Although technology often outperforms paper-based systems, it is not perfect. One study found that technical issues cause over 20% of duplicate medication order errors. They contributed to more errors than prior medication order issues and gaps in care coordination. To minimize such issues, IT teams must shift focus from routine maintenance to active optimization.
Robust IT systems hinge on adequate training, flexible information system architecture and user-friendly application systems. High levels of data, user interface, process and feature integration contribute to the stability, availability and interoperability of data processing systems.
Technology alone is not enough. Cooperation between IT and quality assurance teams is key to supporting quality management in life sciences. To create a resilient foundation of collaboration, professionals must assign cross-functional responsibilities, establish clear communication channels and develop shared reporting mechanisms.
The Future of IT in Life Sciences Quality Management
In the life sciences sector, quality management systems have been deployed and fine-tuned for some time now. Implementation may have an end date, but management is not a one-and-done process, especially given the evolving nature of regulations. Now, IT teams are tasked with process improvements. As more platforms are plugged in and interconnected, their duties will evolve.