Cesario Alfredo, Simone Irene, Paris Ida, Boldrini Luca, Orlandi Armando, Franceschini Gianluca, Lococo Filippo, Bria Emilio, Magno Stefano, Mulè Antonino, Santoro Angela, Damiani Andrea, Bianchi Daniele, Picchi Daniele, Rasi Guido, Daniele Gennaro, Fabi Alessandra, Sergi Paolo, Tortora Giampaolo, Masetti Riccardo, Valentini Vincenzo, D'Oria Marika, Scambia Giovanni
Open Innovation Unit, Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
J Pers Med. 2021 Mar 27;11(4):244. doi: 10.3390/jpm11040244.
Clinical trials in cancer treatment are imperative in enhancing patients' survival and quality of life outcomes. The lack of communication among professionals may produce a non-optimization of patients' accrual in clinical trials. We developed a specific platform, called "Digital Research Assistant" (DRA), to report real-time every available clinical trial and support clinician. Healthcare professionals involved in breast cancer working group agreed nine minimal fields of interest to preliminarily classify the characteristics of patients' records (including omic data, such as genomic mutations). A progressive web app (PWA) was developed to implement a cross-platform software that was scalable on several electronic devices to share the patients' records and clinical trials. A specialist is able to use and populate the platform. An AI algorithm helps in the matchmaking between patient's data and clinical trial's inclusion criteria to personalize patient enrollment. At the same time, an easy configuration allows the application of the DRA in different oncology working groups (from breast cancer to lung cancer). The DRA might represent a valid research tool supporting clinicians and scientists, in order to optimize the enrollment of patients in clinical trials. User Experience and Technology The acceptance of participants using the DRA is topic of a future analysis.
癌症治疗方面的临床试验对于提高患者的生存率和生活质量至关重要。专业人员之间缺乏沟通可能会导致临床试验中患者入组情况不理想。我们开发了一个名为“数字研究助手”(DRA)的特定平台,用于实时报告每项可用的临床试验并为临床医生提供支持。参与乳腺癌工作组的医疗保健专业人员商定了九个最小感兴趣领域,以初步分类患者记录的特征(包括组学数据,如基因变异)。开发了一个渐进式网络应用程序(PWA)来实现一个跨平台软件,该软件可在多个电子设备上扩展,以共享患者记录和临床试验信息。专家能够使用并填充该平台。一种人工智能算法有助于将患者数据与临床试验纳入标准进行匹配,以实现患者入组的个性化。同时,简单的配置允许DRA应用于不同的肿瘤学工作组(从乳腺癌到肺癌)。DRA可能是一种有效的研究工具,可支持临床医生和科学家,以优化临床试验中患者的入组情况。用户体验与技术 使用DRA的参与者的接受度是未来分析的主题。