ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS

• Ensuring Compliance When Using Wearables In Clinical Trials

  As wearable technology takes on a central role in clinical research, explore how its benefits can be maximized while navigating the increasing complexity of regulatory compliance.

• Accelerating Your New Therapies Path To Market With Automation

  Automation has become an essential tool for addressing the inefficiencies in traditional clinical trial methodologies, enabling trial teams to instead concentrate on critical tasks such as patient care.

• RWD For Early Clinical Development Planning And Strategy

  Delve into this use case where Citeline’s Real-World Data was used to inform clinical development strategy and differentiate target product profiles through patient journey mapping.

• Revitalizing Recruitment In A Lupus Rescue Study

  Recruitment hurdles are overcome by leveraging engaged, data-sharing patient communities. See how a strategic, patient-centric approach delivered a pre-qualified clinical trial cohort quickly and efficiently.

• How eSource Reduced Benchmark's Protocol Deviations By Almost 40%

  Explore how a leading vaccine site network selected CRIO to help address the challenges with it's use of paper charts in collecting source data.

• Global Experience In Complex Oncology Trials

  Discover how this company was able to overcome complex eCOA challenges in an oncology study.

• You Don't Have To Digitize Everything, You Just Have To Start

  Feeling left behind by the sudden digitization of clinical trials? Decentralized clinical trials can be adapted to best serve the patient population, condition, or therapy you’re investigating.

• Driving Fundamentals: Ensuring An Efficient Clinical Research Process

  Gain insight into drawing constant parallels to clinical research teams and how easy it is for anyone executing the same processes every day to take the fundamentals for granted.

• A Guide To Electronic Data Capture (EDC)

  EDC systems are designed to support a wide range of clinical research while ensuring compliance with global regulatory standards, revolutionizing data management in clinical trials.

• Realizing The Potential Of AI And Machine Learning In Clinical Research

  The life sciences industry has not yet scaled or realized the full potential of AI/ML. Here are four real-world use cases that can encourage researchers to unlock new efficiencies and insights in their studies.