Clinical trials is the scientific study of drugs in human. It refers to any testing done on human beings for the sake of determining the value of a treatment for the sick or for preventing disease or sickness. In other terms, it’s a human experiment designed to study the efficacy and safety of a new drug/ intervention. FDA is the regulatory body in the US, and similarly, there are identified regulatory bodies in other countries like UK, Japan, India, etc.
With humanity exposed to new viruses in recent years, we understand the importance of clinical trials, such studies are being made better, faster, cheaper with the implementation of AI (artificial intelligence) & big data reporting and analytics using popular BI (business intelligence) tools like Microsoft Power BI, SSRS, Tableau, Looker and so on.
Other than creating web and mobile applications to facilitate easy and transparent clinical studies, to improve clinical trials, researchers in academia and the pharmaceutical industry are turning to AI, which facilitates patient enrollment in clinical trials by identifying potential trials for interested patients and their proxies. Recruitment is just one of many bottlenecks in conducting clinical trials.
Fuelled by the rapidly increasing amounts of medical data that are available to researchers, including those provided by EHR – sophisticated machine-learning algorithms have the potential to save billions of dollars, speed up medical advances, and expand access to experimental treatments.
New concepts like “external control arms” which promote reuse data from patients in past trials, will assist in trial enrollments and all rare disease participants getting experimental treatment. Researchers are using AI and advanced data analytics to speed up the process, reduce costs, and get effective treatments more swiftly.
smartData has not only assisted its clients in developing clinical trial lead generation, recruitment, matching web & mobile platforms, whereas has also developed different BI analytics and AI/ machine learning tools in defining the treatment options through clinical trials.
