The life sciences industry has and will always rely on data to power innovation whether be it in clinical trials, research or even day-to-day business operations. However, when we talk about data in our highly regulated industry, we are not just talking about any data, we are talking about data critical for product quality and quality decisions, thus, (to be specific,) data that ticks all the integrity boxes.
As we have all witnessed in the last decade or so, the world is pivoting towards digital and so is the life sciences sector. Paper-based, resource-intensive processes like batch record management, quality audits, and clinical documentation that used to require extensive manual input and physical storage are now either fully or partially digital, making data more accessible, easier to manage, and most importantly more reliable. As we rely more on digital tools and platforms to handle our data collection and processing, this does not mean that we can lower our guard and become mere spectators—far from it, we are now required to be even more vigilant as regulators now expect adequate data quality and integrity for both paper and electronic records.