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作 者:陶庆梅[1] 闫雪冬[1] Tao Qingmei;Yan Xuedong(Department of scientific research management,Peking University Cancer Hospital&Institute,Beijing 100142,China)
机构地区:[1]北京大学肿瘤医院暨北京市肿瘤防治研究所科研处,100142
出 处:《中华医学科研管理杂志》2021年第2期112-116,共5页Chinese Journal of Medical Science Research Management
摘 要:目的针对医学人工智能项目在科研管理领域中存在的问题提出建议.方法本文介绍了人工智能的概念,及其在医学科研管理领域的应用,梳理了医院人工智能类项目现状及存在问题,并针对问题提出可行的对策.结果医院在研人工智能项目共16项,在管理过程中发现,该类项目存在监管法规及行业标准缺失、合作双方沟通障碍凸显、医疗大数据采集、共享、质控尚待规范和伦理风险较高等问题.结论科研管理人员应针对医院在研人工智能项目管理中存在的问题,提出健全的管理制度,完善监管机制;加强顶层指导,提高从业能力;注重过程管理,精细业务流程;着力数据监管,促进业态提升;厚植人才培养,助力全面发展;强化伦理意识,把控管理风险等对策.Objective To put forward suggestions for the problems identified in the application of Artificial Intelligence in the field of medical research management.Methods Literature review were conducted to analyze the concept of Artificial Intelligence and its application in the field of medical scientific research management.The existing problems of medical Artificial Intelligence projects were identified and feasible countermeasures were put forward.Results A total number of 16 Artificial Intelligence projects were going in the hospital.Some problems were identified during the management process,which including lack of regulatory regulations and professional standards,the communication barriers between the two partners are also prominent,the collection,sharing,and quality control of medical big data need to be standardized and managed ethically.Conclusions Taking into account of the problems identified in the management of Artificial Intelligence projects in hospitals,scientific research management should put forward some countermeasures,such as improving management system and supervision mechanism,strengthening top-level guidance and improving employment capacity,paying attention to process management and fine business process,focusing on data supervision to promote business format promotion,cultivating talents to help comprehensive development,strengthening ethical awareness and risk management.
分 类 号:R197.323[医药卫生—卫生事业管理]
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