Solution Brief
Clinical trial operations
Deliver more patient-centric clinical trials and improve operational performance
The issue
Clinical trial operations cover every aspect of a trial – from protocol design to locking the database. Successful, efficient and well-managed operations are the backbone for delivering clinical trials on time... and on budget. Yet even after decades of fine-tuning, industry teams struggle to navigate the mountains of operational hurdles and challenges that each study faces.
Throughout the entire process, each operational milestone is dependent on successfully completing the previous milestone. If any milestone deadline is missed, even by as little as one working day, an entire study is at risk of delay.
Representing both sides of the life sciences industry, sponsors and CROs are keen to reach each operational milestone on time to deliver trials efficiently and effectively. All the while, organizations are under intense scrutiny to ensure the utmost quality, safety and patient-care metrics.
The challenge
Segmented operations
Many of the milestones that are managed across an operational team are housed in different data sets and across different platforms. This means insights are siloed, and decisions cannot be made in real time to reduce risk, change strategies or hit deadlines.
Manual system of data review
Due to silos, teams waste valuable time reviewing data manually, risking human errors in calculations and enrollment prediction analysis.
Guessing game of identification
Site identification and patient recruitment are two of the biggest challenges to a study. By using advanced analytics, you can proactively choose the best sites and target evidence-based catchment areas to recruit eligible, representative patients. The implementation of data-focused tools and platform can help eliminate the guessing game of which sites to start up, when and why.
Staff allocation and study resourcing
Monitoring a study is only one piece of the puzzle. Understanding which monitors should be on a study, optimizing efficiencies in travel and logistics, and ensuring proper workforce planning and retention are crucial for reducing study delays.
Gain a comprehensive view of study operations to
(optimize study startup and progress.; improve patient-centricity.; deliver insights you can trust.; build better clinical trials.)
Our approach
SAS helps organizations use large volumes of data from study timelines, regulatory requirements, site data, geographical catchment areas and prevalence information to deliver robust, representative trials while supporting the entire operational landscape. By offering a comprehensive suite of solutions that can improve clinical trial operations, SAS helps you deliver efficient and effective clinical trials.
We approach the problem by providing software and services to help you:
Access all relevant data
Quickly access and prepare relevant site, patient, geographical and regulatory data for modeling, simulation and insight generation. Data can be easily incorporated through a low-code/no-code environment to provide visual analytics with speed.
Forecast trial enrollment and planning
Simulate enrollment scenarios using site and patient data from historical studies to forecast which sites to start up, and when, to deliver enrollment plans against milestone deadlines. Gain efficiency by using large language models (LLMs) to assist in protocol review.
Compliantly engage with patients
Using sophisticated customer intelligence analytics, end users can deploy compliant marketing campaigns to engage, recruit, enroll and retain patients throughout the course of a clinical study, and have insight into dropout risk assessments in real time.
Streamline regulatory submissions
Streamlining is possible using a statistical computing environment that has been tried, tested and proven with the world’s foremost regulatory organizations.
SAS difference
Delays in clinical trials aren’t just an annoyance – they’re a crucial risk that organizations face every single day. For each day that a clinical trial is delayed, organizations can see costs of nearly $8 million.
For some organizations, one day of delay is the difference between delivering a life-saving therapy to market or shutting down the business. Patients are counting on life sciences teams to deliver; and the key to efficient, proactive and effective operations is in the data.
SAS can help by providing:
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SAS® Visual Analytics to manage data, develop models and deploy insights rapidly on a modern, advanced statistical platform.
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SAS® Life Science Analytics Framework to manage and analyze information in a collaborative platform, streamline processes and more efficiently deliver trial results to regulatory authorities.
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SAS® Customer Intelligence 360 to intelligently recruit, engage and retain robust and representative patient populations for a clinical trial.
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SAS® Clinical Enrollment Simulation to predict site-based enrollment scenarios to deliver trials on – or ahead of – schedule.
SAS in life sciences
1
45
countries with customers in life sciences
0
2350
life sciences customers worldwide
-30
100
life sciences companies in the Fortune 500 use SAS