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Patient-first clinical trials with AI-powered insights

Issue: A global healthcare company is on a mission to create a smoother, faster, more inclusive clinical trial experience that’s also patient-centric and data-driven. For an organization focused on improving patients’ lives by delivering life-changing treatments and vaccines, optimizing clinical trials is a must.

Action: The company partnered with ZS to engage in its clinical trial transformation journey and create an AI-powered data and analytics platform that would support clinical trial country and sites identification decisions.

Outcome: With this change, the team expects 10% more patients per site, 30% fewer nonrecruiting sites and benchmark alignment for participating countries.

Machine learning for study data and smarter reuse

Issue: A global pharmaceutical company mines its massive repository of historical studies on an ongoing basis to uncover insights that could guide clinical and medical decisions. The conformance process was a bottleneck, however—a typical study took three weeks or more to be conformed, which slowed the downstream exploratory analysis phase. The company looked to automate the conformance process, while building in the ability to handle regular refreshes.

Action: ZS developed and deployed a machine learning-powered system to automate data conformance checking. The system uses natural language processing and machine learning to analyze study metadata and automatically identify conformance issues. It offers a user-friendly interface that allows clinical teams to review flagged discrepancies and provide feedback, which is then used to continuously improve the model's accuracy through human-in-the-loop learning.

Outcome: The solution allowed the company to:

• Reduce manual effort and reliance on rules-based checking

• Increase the scale and speed of data conformance across global trials

• Continuously improve accuracy of checks with feedback loops

After the clinical studies conformance solution went live, the team saw efficiency gains—the time required to map studies decreased by nearly 85%. This, in turn, led to a three-time increase in the number of conformed studies that could be published, increasing from 27 in 2020 to nearly 80 in 2022 working under a fixed year-over-year budget.

A global CRM ecosystem with Salesforce

Issue: A global healthcare company looked to transform its client relationship management function by harmonizing 20+ capabilities across 40+ legacy CRM systems in 15 countries, including the U.S., Brazil, U.K., Poland and Spain.

Action: ZS partnered with the client to consolidate these into a unified Salesforce “Global OneCRM” ecosystem, providing a 360-degree customer view and streamlined processes.

Outcome: This transformation improved the global customer experience by standardizing more than 30 attributes across more than 1 million accounts. It also boosted sales reps time with customers by 10%, enabled 3.5 million euros in annual savings and increased cross-selling by 3%. The system continues to support more than 1,750 active users worldwide.

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