Nephrology

Expertise and relationships to accelerate development.

With 850 million people living with kidney disease, the need for new treatments has never been higher. Developing therapies is challenging; finding the right patients at the right time is just the beginning. Our experienced renal team is ready to help. 

Connecting patients, sites and sponsors

Many kidney patients suffer significant quality of life challenges and comorbidities. This makes recruitment and retention challenging, particularly in rare kidney diseases.

Whether a glomerular or genetic disease, dialysis or nondialysis kidney disease, or a cell and gene therapy treatment, IQVIA’s site relationships and strategic alliances with dialysis centers, academic sites, nephrologists and endocrinologists help ensure we meet your patient recruitment and retention goals. In fact, IQVIA’s data-driven site selection over the last three years resulted in a two times higher recruitment rate in Phase III nephrology studies.

Power your nephrology trials

Renal trials can be challenged by finding the right sites and investigators, slow start up, and low recruitment and retention rates. Our experienced team is here to help.

IQVIA intelligently connects and leverages real world data, historical site performance, patient-centered technology and analytics to power your trial from the start.

Real time lab alerts, centralized monitoring of lab samples and eCOA allow for better data quality with less missing data and the ability to efficiently complete your primary analysis, accelerating your road to approval.

Unleash new opportunities with IQVIA Connected Intelligence™

Our connected approach to clinical development brings together expansive nephrology experience and capabilities, real world data, advanced analytics and innovative technologies. The results?

  • Drive study speed and efficiency using protocol assessments, AI-powered site identification and predictive recruitment
  • Create new connections between sponsors, patients and sites to enable better decision making and retain patients
  • Innovate with less risk through novel trial design including basket, adaptive, and decentralized models

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