Development of a AI-enabled Web Application with a Recruitment Point System for Managing Clinical Trial Participants

与其他cro一样，招募临床试验参与者是Dicentra面临的最大挑战。目前，招募临床试验参与者是通过传统的媒体广告方式进行的，这种方式效率极低，而且导致临床试验成本如此之高。传统的招募方法每次试验的费用约为每位参与者200美元。作为CRO， Dicentra目前面临着招募、保留和管理临床试验参与者、数据管理和数据质量控制方面的挑战。为了克服这些挑战，Dicentra将与WITMACH合作开发一个平台独立的、用户友好的、人工智能（AI）支持的web应用程序，以收集和管理潜在感兴趣的参与者的信息，根据一组预定义的标准从他们的数据库中识别合适的参与者进行特定的临床试验，鼓励参与者邀请他们的朋友参加试验。该解决方案还将整合创新的招聘积分系统，可以显著降低他们的招聘成本（< 1/10）。许多cro都有推荐计划，但没有一个内置在一个可以立即兑换积分的网络平台上，用户可以实时查看他们的积分账户余额。拟议项目开发的网络应用程序将为Dicentra提供一个有机的增长工具，以克服他们在进行临床试验时面临的一些最大挑战。

Recruitment of clinical trial participants is the biggest challenge for Dicentra, like any other CROs, and it iscurrently carried out by engaging traditional media advertising means - which is highly ineffective andcontributes to clinical trials being so expensive. Conventional recruitment approach costs approximately $200per trial per participant. As a CRO, Dicentra is currently facing challenges with the recruitment, retention andmanagement of their clinical trial participants, data management and data quality control. In order to overcomethese challenges, Dicentra will collaborate with WITMACH to develop a platform-independent, user-friendly,Artificial Intelligence (AI) enabled web application to collect and manage potentially interested participants'information, identify appropriate participants from their database for specific clinical trials based on a set ofpre-defined criteria, encourage participants to invite their friends for the trials. The solution will also integratean innovative recruitment point system which can significantly reduce their recruitment cost (< 1/10th). ManyCRO's have referral programs, but none are built into a web platform where points are immediatelyredeemable, and the user can view the balance of their points account in real time. The web applicationdeveloped in the proposed project will provide an organic growth tool for Dicentra to overcome some of theirbiggest challenges in conducting clinical trials.