Recruiting patients for clinical trials continues to be one of the biggest challenges to conducting efficient clinical research. Finding patients who are eligible, motivated, and representative of the broader global population is fraught with challenges. With the...
Why Patients are Reluctant to Participate in Clinical Trials Clinical trials are the cornerstone of medical advancement, providing the data needed to develop new treatments and improve existing ones. Despite their critical importance, patient participation in clinical...
Challenges in Clinical Trial Recruitment: Decoding the Data Types One of the things that makes clinical trial recruitment challenging for researchers is the broad variety of data sources needed to effectively identify eligible patients. For certain, being able to comb...
Using AI to Unlock Hidden Insights Within Unstructured Clinical Trial Data Clinical trials rely upon lots of data to prove the safety and efficacy of new therapies. Much of this data comes in standard formats like NDC (National Drug Code) and ICD (International...
How to Leverage AI for Effective Patient Engagement Clinical research is transforming at an incredible pace for a variety of reasons, with factors such as the need for more inclusive and diverse clinical trials leading researchers to seek out new solutions. The...
Using AI to Transform Your Clinical Trial Recruitment Process Clinical trial recruitment must evolve to keep pace with advances in the broader scope of clinical research. To make this happen, researchers need to sort through an immense volume of patient data to...