Charité Digital Clinician Scientists for future data driven medicine

医学领域的数字化转型已经开始从根本上改变诊断和治疗的方式。这些变化在许多领域是非常广泛的，在某些情况下是彻底的。具有技术和医学知识的专家对于推进医学数字化解决方案至关重要。我们认为临床科学家应该被定位为医学数字化发展的驱动者、创新者和使用者。在DFG的支持下，我们于2019年启动了慈善数字临床医生科学家计划（DCSP），作为一种创新的数字科学驱动的职业发展道路，为学术临床医生应对新兴医学技术转型的挑战做好准备：与“传统”波黑基金会慈善临床医生科学家计划一样，DCSP参与者可以将50%的工作时间用于研究（“保护时间”）三年。在整个临床培训阶段的研究保护期的整合符合DFG的建议，我们认为这对于最好地建立候选人蓬勃发展的研究生涯至关重要。资格措施是DCSP的一个重要项目组成部分：除了一般的结构化能力课程外，DCSP研究员还接受数字化方面针对目标群体的课程，包括医疗信息管理和通信、信息技术基础、移动数据收集和决策支持、人工智能、生物信息学、健康远程信息处理和远程医疗，以及数据保护和监管要求。转化技术团队（TTT）作为DCSP的创新指导工具，将计算科学领域的顶尖专家与临床医生和实验学家聚集在一起，以最佳方式连接、监控和支持DCSP研究人员在新技术界面上的工作。每个DCSP成员都有一个临床、一个科学和一个数字导师。每个TTT成员履行各自专业领域的指导职责，在实验和/或临床环境中提供临床和研究培训，并发展计算科学和/或数字技术方面的专业知识。TTT为学员提供建议和反馈，并评估他们的职业发展道路。DCSP每年做两次广告。所有候选人都要经过标准化和高度规范化的两步竞争性选拔过程，其中DCSP董事会首先审查书面申请（第一步），然后选择候选人进行公开口头陈述（第二步）。截至2021年6月，共有来自16个不同分专业的24名研究员参加了该计划。我们申请的总体目标是进一步扩展这一创新和成功的数字临床医生科学家计划，为学术临床医生应对新兴医学技术转型的挑战做好准备。

The digital transformation in medicine has begun to fundamentally change the way in which diagnosis and therapy are carried out. These changes are very extensive in many areas and, in some cases, radical. Experts with both technical and medical understanding are essential for advancing digital solutions in medicine. We believe Clinician Scientists should be positioned as drivers, innovators and users of digital developments in medicine. With the support of the DFG we started a Charité Digital Clinician Scientist Program (DCSP) in 2019 as an an innovative digital science-driven career track to prepare academic clinicians for the challenges of the emerging technological transformation of medicine: As with the “traditional” BIH Charité Clinician Scientist Program – serving as a “best-practice-model” for Germany –, DCSP participants can devote 50 percent of their working time to research (“protected time”) for three years. The integration of protected periods for research throughout the clinical training phase is in line with DFG recommendations, and we believe essential to best establish the burgeoning research career of the candidate. Qualification measures are an essential program component of the DCSP: In addition to the general structured competency-based curriculum, DCSP fellows receive target group-specific curricular offerings in digitalization, including medical information management and communication, information technology basics, mobile data collection and decision support, artificial intelligence, bioinformatics, health telematics and telemedicine, and data protection and regulatory requirements. Translational Technology Teams (TTT) as an innovative mentoring instrument in the DCSP bring together leading experts in computational sciences with clinicians and experimentalists and optimally connect, monitor and support DCSP fellows working at new technological interfaces. Each DCSP fellow has a Clinical, a Scientific and a Digital Mentor. Each TTT member fulfills the mentoring duties respective for their areas of expertise to provide clinical and research training in experimental and/or clinical settings and develop expertise in computational sciences and/or digital technologies. TTT provide advice and feedback to the fellows and assess their career paths.The DCSP is advertised twice per year. All candidates undergo a standardized and strongly formalized two-step competitive selection process in which the DCSP Board first reviews written applications (step 1) to select candidates for a public oral presentation (step 2). A total of 24 fellows from 16 different sub-specialities have been enrolled in the program as of June 2021. The overall goal of our application is to further expand this innovative and successful Digital Clinician Scientist Program to prepare academic clinicians for the challenges of the emerging technological transformation of medicine.