To keep up with growth, many companies are turning to contract manufacturing organizations (CMOs) to assist with product manufacturing. A key benefit CMOs provide is to maintain a manufacturing footprint, and the skilled talent needed to support product manufacturing.
Artificial intelligence (AI) is transforming healthcare, promising improved patient outcomes, streamlined drug development, and enhanced diagnostics. Beyond its most immediately recognized advancements, AI is revolutionizing clinical trials and medical device development—areas that clinical research professionals may not yet fully appreciate.
You’ve probably heard it all before: The clinical research enterprise has a problem with expecting new hires in what are often basically low-paying, entry-level positions to already have two or more years of experience with the position’s duties. It’s a talent acquisition model that does no one any favors, especially at the study site level where a healthy pipeline of new clinical research coordinators (CRCs) would go a long way to alleviating delays in trial conduct.
Clinical Trial Management Systems (CTMS) are software platforms that provide clinical research sites and research study staff with the ability to manage all operational aspects of a clinical trial, both at the study protocol level and participant level. A CTMS platform can help streamline study start-up processes, provide real-time visibility into the status of a study, improve collaboration through automated workflows, and optimize financial management processes.
How can clinical trial sites decrease the most common noncompliance issues cited in regulatory inspections? It’s a big challenge to sites of all types, and one with major impacts on the safe, ethical, and efficient conduct of life-enhancing drug and device studies.