EVERSANA, a prominent player in the life sciences commercialization sector, recently unveiled a groundbreaking solution designed to streamline the Medical, Legal, and Regulatory (MLR) review process. Dubbed EVERSANA ORCHESTRATE MLR, the AI-powered platform aims to automate an impressive 90 percent of common tasks encountered in the traditionally manual MLR landscape, presenting a significant opportunity for small business owners in the life sciences field to enhance efficiency and compliance.
With the increasing complexity of regulatory requirements, life sciences companies often find themselves burdened by labor-intensive processes that involve reviewing extensive marketing materials. This new solution leverages the capabilities of Amazon Bedrock—a suite of high-performing foundation models—to enable rapid identification, extraction, and management of claims within marketing documents in mere minutes. As Jim Lang, CEO of EVERSANA, states, “EVERSANA ORCHESTRATE MLR is a game-changer for the life science industry. Through the power of AI and our collaborations with leading technology providers and in-house MLR experts, we’ve set a new standard for efficiency, compliance, and quality that is much needed in today’s industry.”
By deploying this platform, companies can significantly cut down on the time spent on MLR reviews. Manual reviews often involve sifting through hundreds of documents and verifying compliance with regulations, a process that can take weeks. In contrast, EVERSANA ORCHESTRATE MLR allows users to complete annotation and cross-referencing with just a few clicks, reducing content review times by as much as 50 percent. This capability allows businesses to deliver marketing materials faster, thereby improving responsiveness to market demands.
Another key advantage lies in the solution’s ability to enhance accuracy and compliance. The MLR platform has demonstrated an 86 percent reduction in submission errors, providing users with the confidence that their materials meet rigorous regulatory standards. In addition, the automated nature of the platform allows it to be scalable and less resource-intensive, promising an estimated 35 percent cost saving for many teams operating in the life sciences sector.
The integration of EVERSANA ORCHESTRATE MLR is made seamless through collaborations with established partners like Veeva, which ensures that the platform is not only compliant but also aligns with industry practices. This end-to-end integration is vital for small business owners who may have limited resources but still need to maintain high standards of compliance and review efficiency.
However, small business owners should also consider some potential challenges associated with implementing such an innovative solution. Transitioning from a manual review process to an automated system can carry a learning curve that some teams might struggle to navigate. Moreover, the full realization of cost savings and efficiency gains requires a commitment to training and a willingness to adapt established workflows to leverage the new technological capabilities effectively.
As Dan Sheeran from AWS indicates, “Generative AI is transforming the life sciences industry by accelerating R&D, improving efficiency in manufacturing, and streamlining the path to commercialization.” The market is witnessing a decisive shift towards automation and AI technology, positioning those who adapt quickly to lead in a competitive landscape.
For small business owners in the life sciences sector, embracing solutions like EVERSANA ORCHESTRATE MLR could prove instrumental in transforming MLR processes—turning potential barriers into avenues for growth and innovation.
EVERSANA has successfully piloted the ORCHESTRATE MLR platform with several life science companies, showcasing its efficacy in real-world applications. To explore this solution further, interested parties can visit EVERSANA ORCHESTRATE MLR.
As trends continue to evolve in regulatory environments, staying ahead with advanced tools could make a crucial difference for small businesses striving to navigate the complexities of medical and commercial requirements successfully. The introduction of such AI-driven solutions not only reflects the industry’s progression but also underlines the necessity for agility and adaptability in a rapidly changing marketplace.
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