visit sourcenutra dot com here

Decentralized / Hybrid Clinical Trials

Embrace the future of clinical research today

The new frontier of clinical research has been brought to the forefront in recent years. Now, decentralized clinical trials (DCTs) offer more capabilities than ever to achieve your research goals with hybrid and fully virtual clinical trial approaches.

A photograph of a person on their laptop with 3 different faces and checkboxes suggesting they are rating something

With decentralized or hybrid clinical trials, participants can complete some (or all) aspects of a clinical trial from their home without needing to travel onsite to the research facility. 

The clinical trial components can be conducted using procedures and technologies that make it possible to complete them virtually. Our goal is to maintain participant compliance without compromising GCP (Good Clinical Practice), clinical trial integrity or quality.

Decentralized and Hybrid Clinical Trials allow additional benefits,
such as:

  • A more streamlined experience for participants (i.e., reduction in travel time, convenience to complete study activities from home);
  • Participant recruitment from broader geographic area.
  • Flexibility in the timing of completing certain study tasks (thereby allowing for improved recruitment metrics)
  • Data can be reported in real-time;
  • Allows logic checks to identify discrepancies during data entry;
  • Queries can be sent immediately with minimal turnaround times for data clarification;
  • An auditable trail for data entry ensures data integrity;
  • Fewer transcription errors and illegible data issues;
  • Reduces paper management time and requires less physical storage space; and
  • Shorter patient recruitment times, fewer site visits, faster data entry, reduction of printing costs, and remote monitoring leads to the clinical trial cost reduction.

SNI’s Clinical Trials Team have prioritized the development of our strategies for conducting clinical trials using a decentralized and hybrid model by moving to an e-platform (wherever possible) for study components.

Loading...