某三甲医院科研大数据平台的临床研究管理要点探析

Analysis on the Key Points of Clinical Research Management Based on the Scientific Research Big Data Platform of a Tertiary Hospital

随着健康医疗大数据和人工智能技术的飞速发展,如何利用基于临床诊疗产生的海量医疗数据成为临床研究领域一个亟待解决的重要课题。临床诊疗数据是健康医疗大数据的重要组成部分,也是健康医疗大数据研究的主要领域,随着信息化的不断深入和广泛开展,医院积累了大量以患者为中心的临床诊疗数据,通过大数据技术对这些数据进行深入挖掘和分析,可对疾病的精准诊疗和规范化防控提供参考。然而开展相关研究依然面临较多难点与堵点问题,例如,数据泄露或滥用的风险增加、知情同意的难以实施等。为安全、合法、高效地利用临床诊疗数据开展临床研究,充分挖掘这些宝贵医疗资源的价值,北京某三甲医院建设了科研大数据平台,并制定了相关制度,以有效解决丰富的临床资源更好地应用于临床研究的堵点与难点问题,提升医疗机构服务质量和科研成果转化率。通过介绍基于科研大数据平台开展的临床研究实施过程中要点与管理方法,分析探讨存在的问题以及改进措施,以期为高质量、高效率开展健康医疗大数据临床研究提供理论依据与制度参考,为医学科研管理工作的不断完善起到启发和推动的作用,促进医药卫生科技创新的发展。

With the rapid development of healthcare big data and artificial intelligence technology,how to utilize the massive medical data generated based on clinical diagnosis and treatment has become an important issue to be solved in the field of clinical research.Clinical diagnosis and treatment data is an essential part of healthcare big data,and also the main field of healthcare big data research.With the continuous deepening and extensive development of informatization,hospitals have accumulated a large number of patient-centered clinical diagnosis and treatment data.Deeply mining and analyzing these data through big data technology can provide reference for precise diagnosis and treatment,and standardized prevention and control of diseases.However,conducting relevant research still faces many difficulties and blockages,such as the increased risk of data leakage or abuse,and the difficulty in implementing informed consent.To safely,legally and efficiently utilize clinical diagnosis and treatment data to conduct clinical research and fully tap into the value of these precious medical resources,a tertiary hospital in Beijing has built a research big data platform and developed relevant systems to effectively solve the problems of blockages and difficulties in the application of rich clinical resources to clinical research,and improve the service quality of medical institutions and the conversion rate of scientific research achievements.By introducing the key points and management methods in the implementation of clinical research based on the scientific research big data platform,analyzing and exploring the existing problems and improvement measures,this paper aimed to provide theoretical basis and system reference for high-quality and efficient health and medical big data clinical research,inspire and promote the continuous improvement of medical research management,and promote the development of medical and health science and technology innovation.