Integration of system for research in health with computation in cloud using artificial intelligence

Carlos Henrique Kuretzki, J. S. Pinto, José Claudio Vianna
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Abstract

The health sector is one of the largest in most countries and can significantly benefit from high‒quality, real‒time and location‒ independent data. However, many healthcare professionals are not familiar with information technology solutions, business and information or are reluctant to apply them in their work area. The term Medical Informatics originated in the 1970s, inspired by the French word for Computer Science (informatique) thus passing the English‒speaking community to adopt the Medical Informatics form; previously the term related to biomedical research was vaguely defined. During the 1980s in Europe this term became broader than Medical Computing, including subjects such as Medical Statistics, Record Keeping, as well as others related to Medical Informatics itself. Over the years the word “medical” applied to this terminology gave a restrictive connotation of application to the medical field, thus, being replaced by the word health, leading to Health Informatics.1 Nowadays there are many areas that make use of technologies based on Health Informatics. Solutions that can give equal or better results than those provided by professionals. These solutions are called specialized systems. The main purpose of these systems is to find a solution to problems that are usually solved by specialized professionals in the field, and therefore the system is able to decide on its own, only based on specific and selected knowledge. This knowledge is given by the skilled professionals and based on real cases.2 Cognitive computing systems are perceptual‒sensitive systems that react to external signals and learn to do something with excellence through data analysis. That is, they receive numerous unstructured data entries and process them in order to obtain information in response to a given question or task. Cognitive technology, as a rule, proposes to perform tasks that only humans have so far been able to do, is only supposed to do it faster and more accurately.3
基于人工智能的健康研究系统与云计算的集成
卫生部门是大多数国家最大的部门之一,可以从高质量、实时和独立于地点的数据中显著受益。然而,许多医疗保健专业人员不熟悉信息技术解决方案、业务和信息,或者不愿意在他们的工作领域应用它们。医学信息学一词起源于20世纪70年代,受到法语中计算机科学(informatique)一词的启发,因此通过英语社区采用医学信息学的形式;以前,与生物医学研究相关的术语定义模糊。在20世纪80年代的欧洲,这个术语变得比医学计算更广泛,包括医学统计、记录保存以及其他与医学信息学本身相关的学科。多年来,“医学”一词应用于这一术语,对医学领域的应用具有限制性的内涵,因此,被“健康”一词所取代,导致了“健康信息学”。1现在,许多领域都利用基于健康信息学的技术。与专业人士提供的解决方案相比,可以提供相同或更好的解决方案。这些解决方案被称为专用系统。这些系统的主要目的是为通常由该领域的专业人员解决的问题找到解决方案,因此系统能够仅根据特定和选定的知识自行决定。这些知识是由熟练的专业人士给出的,并基于真实案例认知计算系统是感知敏感的系统,它对外部信号做出反应,并通过数据分析学习如何做得更好。也就是说,它们接收大量非结构化数据条目,并对其进行处理,以便获得响应给定问题或任务的信息。一般来说,认知技术建议执行迄今为止只有人类能够完成的任务,只是应该做得更快、更准确
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