By Clinical Research News Staff 

October 9, 2024 | CluePoints has launched its Medical & Safety Review (MSR) tool that aims to simplify and streamline the medical analysis of study data through user-friendly dashboards, data manipulation and cleaning, query management and full transparency over the data history.  

Designed by and for Medical and Safety Reviewers, MSR converts the manual analysis of patient outcomes, which can be prone to inefficiency and error, into an accurate, efficient process. MSR takes on time-consuming study preparation for specific visualizations by featuring a comprehensive standard visualization library as well as the ability to copy and reuse dashboards across different studies, enabling the identification of outlying values, change tracking, and improved communication for smarter clinical trials. 

Other benefits of MSR include:  

• Enhanced medical review efficiency and reduced human errors via automated checks 
• Reduced time spent by clinical and data management teams in reviewing data
• Improved collaboration with integrated review workflows across departments
• Ensured record quality and accountability with comprehensive change tracking 
• Driving faster decision making with the proactive detection of trends and safety issues
• Ensuring regulatory compliance with rule-based detection and user assignments 

In a press release, Andy Cooper, Chief Executive Officer at CluePoints, commented, “We are thrilled to announce the launch of Medical & Safety Review to our growing product offerings. MSR is the latest application addition to the CluePoints platform, which includes products such as Risk-Based Quality Management (RBQM) and our Site Profile & Oversight Tool (SPOT). Together, they provide a comprehensive approach to clinical trial optimization, enhancing data integrity, ensuring regulatory compliance, and accelerating drug development. The creation of MSR ensures a more streamlined review process while prioritizing patient safety at every step and empowers medical teams to swiftly identify outliers, track data changes, and improve communication.”