Balanced Trial AstraZeneca Approach Using Real-World Evidence

A global pharmaceutical company partnered with a life sciences consulting firm to apply real-world evidence from electronic health records, improving clinical trial design for a cardiovascular treatment. The collaboration analyzed LDL-cholesterol patterns and cardiovascular risk to refine inclusion criteria and trial site selection. For more info: https://www.zs.com/insights/as....trazeneca-using-real

Reinventing Pharma CRM: From Workflow Tool to Growth Engine

Pharma CRM systems are failing the industry — 4 in 10 businesses rate theirs poorly, and 80% report disappointing HCP engagement. Despite $4.4 billion in annual spend, most platforms remain rigid, siloed, and disconnected from the real customer journey. For more info: https://www.zs.com/insights/next-gen-pharma-crm

Clinical Trial Optimization with Data-Driven Protocol Design

Clinical trial optimization starts with understanding protocol complexity at scale. With 80% of global trials reporting enrollment-related delays, a data-driven approach to protocol design helps sponsors identify and address risk areas at procedural, visit, and study levels. Advanced analytics with proprietary benchmarking tools evaluate complexity across clinical, operational, and human-centric dimensions. For more info: https://www.zs.com/insights/zs....-data-driven-clinica

Advancing Medical Affairs Analytics: A Data-Driven Framework

Medical affairs has evolved beyond its traditional scientific support function into a strategic leadership role within pharma. A proven medical affairs analytics framework helps organizations evaluate current industry maturity and build a clear roadmap for advancing capabilities. For more info: https://www.zs.com/insights/ad....vancing-medical-affa

Agentic AI in Pharma: Building Life Sciences Decision Systems

Agentic AI in life sciences is shifting enterprises from passive insights to governed, continuous decision systems. Rather than deploying isolated use cases, pharma leaders must redesign recurring, high-impact decisions as intelligent flywheels — sensing signals, modeling trade-offs, executing actions, and learning from outcomes. For more info: https://www.zs.com/insights/ag....entic-ai-pharma-deci