How Smart Data Management Cuts Pharmaceutical Delays From Months To Weeks

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Data manager Ratna Jyothi Kommaraju's automation frameworks to handle 3 million biosamples and cut delays by 75% – a benchmark India’s clinical trial industry now looks to follow.

India's clinical trials market was valued at USD 1.42 billion in 2024, accounting for 8.3% of the global activity. Simplified regulatory changes have already reduced approval times by 30-40%, making it an attractive venue for international research. This fast-growth rate, however, has created a serious problem: pharmaceutical firms are storing millions of biological samples in various liquid nitrogen freezers, often with incomplete historical documentation. They are not losing the samples or the liquid nitrogen freezers. They are losing time. When research teams need to identify a specific specimen, they may spend 8-12 months just identifying and shipping samples between various facilities.

Scientists at Sanofi were experiencing these delays when Ratna Jyothi Kommaraju joined as Data Manager through Vivid Soft Global Inc. She and her team streamlined sample processing which cut down the time to 2-3 weeks. At PAREXEL, Ms. Kommaraju automated CTMS (Clinical Trial Management Systems) applications used extensively by different pharmaceutical companies like Novartis, Pfizer, and Boehringer Ingelheim. Ms. Kommaraju describes in more detail her methods for removing bottlenecks, automation methodologies that save months of manual work, and actionable steps that other organizations can take to accelerate research faster.

The Million-Sample Problem at Sanofi

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