How AI is Improving Clinical Trial Enrollment

Successful clinical trials are the forward force for advancements in medicine. When our world today involves so much technology, it only seems right to utilize it to optimize clinical trials. So if we can use artificial intelligence to refine brackets for clinical trials, why aren’t we?

With clinical trials, great strides have been made in medicine. Clinical trials help doctors gather data and track the success or failure of procedures and treatments used to treat different ailments in patients. Without clinical trials, illnesses that have been eradicated would still threaten the lives of individuals today.

One of the largest complaints from medical staff who had a hand in these trials was low patient enrollment. Because of low enrollment, these well-funded trials fail to thrive. That’s where technology can help.

AI is Always Advancing

Artificial intelligence programs constantly use new data to learn and improve their algorithms in clinical research recruitment solution. As a result, it provides even more refined and qualified patients for recruitment. is a platform that serves as a network for microservices to optimize clinical trial enrollment. It is a patient-friendly platform that collects data to extend patient recruitment. The system uses artificial intelligence to refine lists of patients to find those most qualified for clinical trials.

The platform uses artificial intelligence to gather data and adapt algorithms for finding the right patient for a trial. And also logs data on patients who are enrolled in trials to track development. This helps doctors track progress, and helps the algorithm match better-qualified patients to clinical trials.

Less Human Error

In a world where human error is a reality, artificial intelligence should be used to improve patient enrollment in clinical trials. With programs like, we can use a platform to scale the number of patients in recruitment. By using imported data, AI would be able to quickly and efficiently scan patient charts to choose qualified recruits for clinical studies.

Everyone is Considered

With artificial intelligence programs, everyone is considered. An only human team does not have the resources to consider everyone for a clinical study. But with a resource, everyone is a possible candidate. This results in more refined patient brackets and a more specific clinical trial.

No Gray Area

With an automated program, there is no gray area. That means either you qualify for a study or you don’t. No gray area results in a more isolated group of participants in clinical studies and faster medical advancement.

AI Can Correlate Data Faster

Algorithms can find trends in patient data faster than a team of doctors can. This allows correlations in data to be made and results to be monitored earlier. That means sooner medical advancement!

By using artificial intelligence to identify potential clinical trial recruits, we can seamlessly scale these trials and match patients to trials faster and more efficiently. This means that clinical trials will no longer lack patient enrollment. Artificial intelligence is the answer to helping clinical trials thrive.

Shirley Valerio

Teacher-turned online blogger, Shirley is a full-time backyard homesteader based in Virginia. When she doesn't have her face buried in a book or striding in her garden, she's busy blogging about simple life hacks of the daily life. Shirley hold's a BA in commerce from University of California.

Shirley Valerio has 12 posts and counting. See all posts by Shirley Valerio


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