Lee Yugyung, Dinakarpandian Deendayal, Katakam Nikhilesh, Owens Dennis
University of Missouri - Kansas City, MO.
AMIA Annu Symp Proc. 2010 Nov 13;2010:442-6.
The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. However, the current recruitment methodologies are inherently inefficient. Considerable resources are expended in efforts to recruit adequate numbers of patient volunteers who meet the inclusion/exclusion criteria for clinical trials. Recruitment is particularly challenging for trials involving vulnerable, psychiatrically disordered groups. We have developed a prototype system, called MindTrial, that is based on an online model to enhance the efficiency and quality of recruitment of patients with psychiatric disorders for clinical research. The intelligent component of the MindTrial system can facilitate highly specific matches between clinical trial criteria and volunteers for self-enrollment of sufficient numbers of patient volunteers. We believe this system is particularly valuable in optimizing recruitment for clinical trial studies for development of new drugs.
招募人类受试者参与临床试验研究是发现新疾病疗法的关键重要步骤。然而，当前的招募方法本质上效率低下。为招募足够数量符合临床试验纳入/排除标准的患者志愿者，耗费了大量资源。对于涉及弱势群体、精神疾病患者群体的试验，招募工作尤其具有挑战性。我们开发了一个名为MindTrial的原型系统，该系统基于在线模式，以提高招募精神疾病患者参与临床研究的效率和质量。MindTrial系统的智能组件能够促进临床试验标准与志愿者之间的高度精准匹配，从而实现足够数量患者志愿者的自我报名。我们认为该系统在优化新药研发临床试验研究的招募工作方面具有特别重要的价值。
