Case Study: US Based Public Health Institute reduces trial delays with Accelerite ShareInsights

A clinical research organization uses ShareInsights to minimize trial delays and improve patient enrollment

The US Based Public Health Institute, a clinical research organization, needed a faster way to identify eligible patients and enroll them into clinical trials. With access to medical records for more than 2 million patients across diverse sources and formats, the institute struggled to consolidate data, compare it against trial protocols and consent information, and reduce delays caused by inefficient enrollment and limited analytics expertise. Accelerite’s ShareInsights platform was used to address these challenges.

Using Accelerite ShareInsights as a self-service big data analytics platform, researchers connected trial protocols, patient records, and consent forms into a single environment to quickly assess eligibility, track consent in real time, and predict dropout risk with machine learning. The results were significant: trial delays were reduced by 30%, patient dropout rates fell by 54%, and patient recruitment increased by 38% due to faster identification of eligible patients.