"We are always looking for ways to increase efficiency and improve study timelines," explained Graham Downing, Vice President of Global Data, Statistics and Technology at Worldwide Clinical Trials, Inc.

"Adding a system to our solutions portfolio that would enable rapid study database set-up, efficiencies in data processing, and that incorporated status and metrics reporting was key. The implementation of eClinical OS at Worldwide Clinical Trials represents an opportunity to increase awarded studies", Downing continued.

"The straight-forward interface and user experience allows studies to be built and deployed in a fraction of the time of other tools. With eClinical OS, we’ve seen a significant improvement in our study start-up timelines and processing efforts allowing us to pass on cost savings to our clients. This is a valuable further solution that we offer to our sponsor projects."

Justin Dearborn, President of Merge Healthcare said: "Merge eClinical OS has the flexibility to support trials in all phases. Worldwide Clinical Trials initially selected eClinical OS as a cost-effective, easy-to-use system that would accelerate startup and streamline management of their clients’ Phase I trials.’

‘They are now implementing eClinical OS for other phases and trials. We are pleased to have been selected as a provider for their global clinical trial needs, and look forward to working closely with them as they expand their use of eClinical OS."

Merge eClinical OS provides end-to-end study support through a single, easy-to-use interface so clients can manage and run studies more efficiently than ever before. It delivers built-in study templates, libraries and reports to help users create studies quickly and manage them effectively without technical assistance.

Merge eClinical OS works for the largest and smallest of studies, has the flexibility to support trials in any phase, and captures any type of data, from any source, over any modality. It also has the scalability to grow if a trial increases in size, number or complexity.