Data Science  x       Big Pharma

Millennial Informatics enables life sciences enterprises to discover, create, and distribute more effective medications, improve patient care, and broaden access to solutions that support individuals and their families in combating cancer.

Pharmaceutical and research organizations are increasingly utilizing comprehensive datasets from claims, electronic health records, and consortia data to complement their existing data resources. By leveraging advanced AI-driven models, these entities can enhance their decision-making processes for country and site selection significantly. These predictive models surpass traditional methods by accurately forecasting the key factors influencing enrollment rates for specific indications or therapeutic areas. Studies indicate that such models can boost recruitment speed by 15 to 20 percent through the identification of high-performing sites while eliminating underperforming ones.

AI-driven models excel at considering variables like site workload and can broaden the pool of potential sites beyond past preferences. They play a vital role in providing sponsors with insights into how enrollment drivers impact project timelines. Additionally, real-time monitoring tools track site performance during trials, enabling early detection of inactive sites and predicting enrollment completion dates based on current trends and intervention outcomes.

At Millennial Informatics, we specialize in developing customized data processing systems that empower our clients to maximize the value of their data assets fully. Backed by extensive management-level consulting expertise spanning decades, our team delivers unparalleled knowledge and expertise on every project. Our proven track record includes successful partnerships with prominent health systems, life sciences companies, and research institutions. Contact us today to explore how we can address your business requirements effectively.