There are advantages and disadvantages when it comes to being a standalone clinical trial site.
Standalone clinical trial sites enjoy the freedom of running their own operations. But they may face challenges with executing some parts of a clinical trial.
This is where site networks come in.
For example, a site can run more efficient marketing campaigns, be more systematic in its clinical trial operations, or share patient recruitment and retention resources by being part of a site network.
To learn more about site networks, I invited Christian Burns, President of Elligo Health Research and Co-Founder of ClinX, on the show.
Christian is a serial entrepreneur, investor, and founder of multiple clinical trial companies, including ClinEdge, BTC Network, and Guidestar Research.
Christian has a track record of success in the pharmaceutical industry, with a particular focus on decentralized and direct-to-patient clinical trials.
With experience across most therapeutic areas and a presence in over 30 languages and 40 countries, Christian's companies have served patients and providers across thousands of research sites globally.
His goal is to accelerate the development of new therapies by creating innovative solutions that connect and empower the clinical trial ecosystem.
A native of Philadelphia, Christian holds a B.A. in Public Health from the University of Tampa.
This podcast is brought to you by Veeva. Veeva connects patients, sites, and sponsors, on a single technology ecosystem to make clinical trials easier and faster. I’m particularly excited about Veeva SiteVault. SiteVault gives research sites one place to work with sponsors - to reduce the number of systems and logins used to run clinical trials. To learn more, visit https://sites.veeva.com/.
This podcast is brought to you by Slope. Slope’s eClinical Supply Chain Management (eCSCM) platform reduces clinical trial risks, reigns in costs, improves the productivity of clinical trial collaborators, and increases subject retention by removing the manual, spreadsheet-driven, and error-prone processes used to manage and track clinical supplies and biological samples to a digital platform. To learn more, visit slope.io.