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Current status of Chinas critical care medicine big data platform and future prospects

机译:中国关键护理医学的现状大数据平台和未来前景

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摘要

The term “Big Data” originated at the 11th Electronic Materials Conference World Annual Conference, which originally referred to the large amount of data generated by the application of technology.[1] Medical big data includes not only the medical history and examination data accumulated during patient hospitalization, but also patient-related follow-up data, prognostic data from outpatient, emergency, and medical insurance settlement departments as well as clinical experiment centers. So far, it has profound applications in the various specialties of medicine.[2–4] However, intensive care medicine (ICU) is different from other medical fields. In comparison with clinical practice data, medical data in ICU have the following characteristics: large scale, rapid production, diverse dimensions, inaccuracies, heterogeneity, incompleteness, complexity, and privacy concerns.[5] In fact, in the process of constructing major ICU databases in China and worldwide, these databases have been optimized at great length. Taking heterogeneity as an example, the possible formats for medical data include text type, digital type, and image type. Text-based data include demographic characteristics, drug use, medical history, and symptoms. Digital data include various laboratory test results, vital signs, and monitoring instrument data. Image-type data include various imaging evaluations, such as type-B ultrasound, computerized tomography, magnetic resonance imaging, X-ray, and other examinations. In the formation of a database, standardized formats for text-type data are required. For digital data, the time of the collection is emphasized, and trends in treatment methods and various indicators are considered. For image data, in addition to conventional imaging reports, an artificial intelligence image reading model could be established by combining diagnoses and image characteristics. So far, China has not yet reached an industry-standard consensus in the field of critical care medicine. The Critical Care Medicine Branch of the China Health Information and Health Care Big Data Society was established in March 2019 and aims to establish and promote critical care big data applications. After a comprehensive investigation, it was found that quantity and quality of ICU database construction were limited. More effort should be made to improve this situation. We fully believe that the development of China's critical care databases will make utmost of big data platform, which could provide patients with better diagnosis and treatment processes, provide management decision-makers with accurate and objective diagnosis and provide medical researchers with a higher-quality data.
机译:“大数据”一词起源于第11届电子材料会议世界年会,最初提到了技术应用所产生的大量数据。[1]医疗大数据不仅包括患者住院期间累计的病史和检查数据,还包括患者相关的后续数据,来自门诊,紧急情况和医疗保险和解部门的预后数据以及临床实验中心。到目前为止,它在各种医学专业中有深刻的应用。[2-4]然而,重症监护医学(ICU)与其他医学领域不同。与临床实践数据相比,ICU中的医疗数据具有以下特点:大规模,快速生产,多样化,不准确,异质性,不完整性,复杂性和隐私问题。[5]事实上,在构建中国和全球的主要ICU数据库的过程中,这些数据库的优势很长。以异质性为例,医疗数据的可能格式包括文本类型,数字类型和图像类型。基于文本的数据包括人口特征,吸毒,病史和症状。数字数据包括各种实验室测试结果,生命体征和监控仪器数据。图像类型数据包括各种成像评估,例如类型-B超声波,计算机断层扫描,磁共振成像,X射线和其他检查。在形成数据库中,需要用于文本类型数据的标准化格式。对于数字数据,强调集合的时间,考虑了治疗方法和各种指标的趋势。对于图像数据,除了传统的成像报告之外,可以通过组合诊断和图像特征来建立人工智能图像读取模型。到目前为止,中国尚未在关键护理医学领域达到行业标准的共识。 2019年3月建立了中国健康信息和医疗保健大数据协会的重要保健医学分支,旨在建立和促进关键护理大数据应用。经过全面调查,发现ICU数据库建设的数量和质量有限。应该努力提高这种情况。我们完全认为,中国的关键护理数据库的发展将最大限度地实现大数据平台,这可以为患者提供更好的诊断和治疗过程,为管理决策者提供准确和客观的诊断,并提供具有更高质量数据的医学研究人员。

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