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What is Artificial Intelligence

 The term Artificial Intelligence was developed in the late 1950's and has universally been accepted as the ability of machines learning to process data efficiently in order to reproduce human like behavior in a repetitive or complex manner. This process is widely known as deep learning or machine data processing wherein expert level execution is repeated by machines with the same encompassing knowledge as seasoned experts in any repetitive task.  

As technology  evolved machine learning  demonstrated the ability to reproduce or exceed human performance, especially in instances of large scale data or speed efficiency. 

Automating Subject & Investigator Enrollment 

ePatient Enroll is recognized as an innovative investigator matching, patient recruitment and clinical service firm. Through out our 10 years of earned industry knowledge we have developed and directed technological developments to meet shortcomings in investigator matching and patient enrollment on behalf of our clients. For many investigational sites the need to focus on protocol specific tasks along side demanding inclusion/exclusion criterion makes the job of investigators and clinical research coordinators difficult.

Often times a successful enrollment model is difficult to replicate for many sites. In most cases the opportunity to reproduce a successful investigator matching and patient enrollment campaign goes unheeded. Instead of settling, ePatient Enroll clients have leveraged the power of AI to systematize and fulfill recruitment models successfully across global study landscapes.

Summary

With ePatient Enroll, you are in position to fulfill enrollment projections even if you have no experience with machine learning. You can leverage advanced matching technologies to quickly implement successful enrollment campaigns to get your study off on the right track or back into alignment with  your projections.

The ePatient Enroll team possess the industry expertise to enable any site to meet enrollment projections through hands off Artificial Intelligence. By implementing advanced data processing models, sponsors may enable A.I. driven campaigns through simple site level training modeled to alleviate site burden. For studies facing budget restrictions wherein activating dozens of new sites domestically or globally to meet regulatory requirements, it is now possible to leverage ePatient Enrolls deep learning artificial intelligence frame work to successfully meet your enrollment models and deploy across multiple- geographical frameworks. 

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