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作 者:罗浩 汪鹏 赵浩宇 LUO Hao;WANG Peng;ZHAO Haoyu(Medical Big Data and Artificial Intelligence Center,First Hospital Affiliated to Army Medical University,Chongqing 400038,China)
机构地区:[1]陆军军医大学第一附属医院医学大数据与人工智能中心,重庆400038
出 处:《中国医疗设备》2020年第11期122-124,128,共4页China Medical Devices
基 金:重庆市集成示范项目(cstc2015jcsf40002)。
摘 要:目的利用医院沉积的类型繁多、关系复杂的数据,分析数据类型以及数据之间的关系后,通过可视化技术对其进行分析和应用,为医院提供客观的基于数据的决策支持。方法运用大数据技术对医疗数据进行清洗和治理,提升数据质量,再通过可视化技术,实现医院对数据分析和展示,提升医疗服务质量。结果医疗数据的可视化分析和展示,能够提供医疗决策支持,提升了医院诊疗效率,将医生诊治人数由40人/d提升到60人/d,数据使用效率由20%提升至80%,提升效果明显。结论基于大数据的可视化分析和应用能够直观展示医疗数据价值,帮助医院和医护人员有针对性的做出决策,提升医疗效率,具有很大的发展潜力和现实意义。Objective After analyzing the data types and the relationship between them,the paper analyzes and applies them by visualization technology to provide objective decision support based on data for hospitals.Methods Big data technology was used to clean and manage the medical data to improve the quality of data.And then,visualization technology was used to realize the data analysis and display in hospitals to improve the quality of medical services.Results The visual analysis and display of medical data could provide support for medical decision making and improve the efficiency of diagnosis and treatment in the hospital.The number of doctors’diagnosis was increased from 40 people/day to 60 people/day,and the efficiency of data use was increased from about 20%to 80%,with obvious improvement effect.Conclusion The visualization analysis and application based on big data can show the value of medical data directly,help hospitals and medical staff to make targeted decisions and improve medical efficiency,which has great development potential and practical significance.
分 类 号:R197.39[医药卫生—卫生事业管理] TP311.13[医药卫生—公共卫生与预防医学]
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