May 2, 2023

Expedite the Clinical Trial Process

Armanii Glaspie
Product Marketing Lead - Solutions
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Expedite the Clinical Trial Process


The world of health care is rapidly evolving, with it, the need to accelerate clinical trial processes. With data-driven healthcare, organizations can now take advantage of new opportunities to improve operational efficiency and streamline drug development and clinical trial protocols. Let’s examine why clinical trial processes are so complex and how using Sigma helps speed up the process.

Why Clinical Trial Processes are Complex Now

Clinical trials are a necessary and complex process for developing new medicines, medical devices, and treatments. While this process has been the standard for decades, it can take considerable time and effort due to the required steps. Today, clinical trial processes are particularly challenging because:

1) Regulatory complexity–Clinical trials must meet strict requirements set by regulatory agencies such as the Food and Drug Administration (FDA) to provide safety and efficacy. These requirements mean that each step in the process must be carefully reviewed and approved before it can move forward, adding a great deal of time to the overall timeline.

2) Recruiting participants–Clinical trials require volunteers who meet specific medical criteria, depending on the study. Finding volunteers who fit these criteria can be difficult, primarily when recruiting from one particular demographic or geographic area. Long wait times for approval from institutional review boards (IRBs) further compound this.

3) Data collection–During clinical trials, researchers must collect data that meets quality standards set by regulatory agencies and complies with patient privacy laws such as HIPAA. This requires significant effort for staff members responsible for data collection, which may lead to delays in completion if not done correctly.

4) Limited resources–Many clinical trial organizations lack enough financial resources, limiting their ability to hire additional staff or purchase needed equipment or supplies. As a result, personnel can be stretched thin, resulting in longer completion times due to fewer people working on tasks associated with clinical trials.

Overall, clinical trial processes have become increasingly complex due to changing regulations and limited resources available for conducting studies. It is, therefore, more critical than ever before for organizations involved with clinical research projects to invest in systems that speed up these processes so that new treatments can reach patients more quickly while still meeting safety standards established by regulatory agencies worldwide.

How Sigma Computing Helps Speed up the Clinical Trial Process

Organizations can streamline the clinical trial process with Sigma to reduce costs and accelerate drug development cycles. Sigma offers advanced data analysis capabilities that enable organizations to identify patterns and trends more quickly, leading to increased efficiency. By leveraging the cloud data warehouse and Sigma together, organizations can make real-time data-driven decisions, helping researchers develop better results while reducing the wait times associated with traditional clinical trial processes.

Sigma simplifies data collection from multiple sources by allowing users to access their data through a single platform. Researchers can quickly access accurate information from any source, removing manual searches or inefficient recordkeeping practices. Furthermore, Sigma provides visualizations and dashboards which give users an intuitive view of their data in real time. This enables clinicians to identify correlations between variables and easily make informed decisions.

For example, at Moffitt Cancer Center, the team has been able to successfully use Sigma across the organization for both technical and non-technical users. This has resulted in a 15x increase in user adoption, with Moffitt having over 275 distinct users within less than two months. They have also allowed users to generate their own preliminary counts and identify their cohort of interest without always going to the technical team members to ask for help. Lastly, Moffitt has been able to mirror all previously established Snowflake role-based access control policies, so an additional layer of governance and oversight is not required. Read more to see what Moffitt is doing with Sigma.