Although clinical trials can cover a huge range of formats, from small academic assessments to global, multi-billion dollar ventures, they all have one thing in common. Their success (or failure) is determined by a consistent approach to data.

Are healthcare professionals working at clinical sites across the world satisfied? It might seem like a strange question to ask, but the way we feel can impact our professional performance in important ways. Perhaps the question is not how satisfied Clinical Operations professionals are, but whether they feel their performance is impacted by lots of time-consuming manual processes that could benefit from automation? Are these processes hampering clinical trial performance?

Data is an essential requirement for improving supply chain processes. But that doesn’t mean that simply collecting more of it will instantly lead to reductions in waste, increases in efficiency and lower excursion rates. Taking a more targeted approach will help you turn supply chain data into insights that can help you understand exactly what is happening at every stage of your pharmaceutical supply chain.

There are a few key reasons why many sponsors are starting to ask whether current clinical supply processes are efficient enough.

For the life science industry, optimizing temperature control processes has the potential to drive big improvements in the reliability and efficiency of supply chains.

The life science industry is always looking for ways to improve reliability and efficiency across the supply chain. New technologies for tracking and temperature logging hold great potential, but which to choose?