Carlos Henrique Kuretzki, J. S. Pinto, José Claudio Vianna
{"title":"Integration of system for research in health with computation in cloud using artificial intelligence","authors":"Carlos Henrique Kuretzki, J. S. Pinto, José Claudio Vianna","doi":"10.15406/mojpb.2018.07.00239","DOIUrl":null,"url":null,"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","PeriodicalId":18585,"journal":{"name":"MOJ proteomics & bioinformatics","volume":"172 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MOJ proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/mojpb.2018.07.00239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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