{"title":"GenericCDSS -一个通用临床决策支持系统","authors":"João Rafael Almeida, J. Oliveira","doi":"10.1109/CBMS.2019.00046","DOIUrl":null,"url":null,"abstract":"Clinical decision support systems (CDSS) are currently essential tools to guide medical diagnostics and patients' treatments, and they are specially important for the better care management of chronic diseases, such as cancer and diabetes. These systems help to decide on the best treatment solution, namely in centres where there is a shortage of medical experts. CDSS tools are often integrated into the Electronic Health Record (EHR) to facilitate the reuse of patient data. However, many times, creating new and intuitive protocols that are disease-specific is still a challenge. In this paper we present an open source solution (GenericCDSS) that can be used to streamline the development of autonomous CDSS, avoiding the dependency on third-party tools to manage patient data and clinical protocols. The software tool provides a modern user interface, supporting multi-platforms such as mobile and desktop devices. GenericCDSS is publicly available at https://github.com/bioinformatics-ua/GenericCDSS, under a GNU GPL license.","PeriodicalId":311634,"journal":{"name":"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"GenericCDSS - A Generic Clinical Decision Support System\",\"authors\":\"João Rafael Almeida, J. Oliveira\",\"doi\":\"10.1109/CBMS.2019.00046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Clinical decision support systems (CDSS) are currently essential tools to guide medical diagnostics and patients' treatments, and they are specially important for the better care management of chronic diseases, such as cancer and diabetes. These systems help to decide on the best treatment solution, namely in centres where there is a shortage of medical experts. CDSS tools are often integrated into the Electronic Health Record (EHR) to facilitate the reuse of patient data. However, many times, creating new and intuitive protocols that are disease-specific is still a challenge. In this paper we present an open source solution (GenericCDSS) that can be used to streamline the development of autonomous CDSS, avoiding the dependency on third-party tools to manage patient data and clinical protocols. The software tool provides a modern user interface, supporting multi-platforms such as mobile and desktop devices. GenericCDSS is publicly available at https://github.com/bioinformatics-ua/GenericCDSS, under a GNU GPL license.\",\"PeriodicalId\":311634,\"journal\":{\"name\":\"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.2019.00046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2019.00046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GenericCDSS - A Generic Clinical Decision Support System
Clinical decision support systems (CDSS) are currently essential tools to guide medical diagnostics and patients' treatments, and they are specially important for the better care management of chronic diseases, such as cancer and diabetes. These systems help to decide on the best treatment solution, namely in centres where there is a shortage of medical experts. CDSS tools are often integrated into the Electronic Health Record (EHR) to facilitate the reuse of patient data. However, many times, creating new and intuitive protocols that are disease-specific is still a challenge. In this paper we present an open source solution (GenericCDSS) that can be used to streamline the development of autonomous CDSS, avoiding the dependency on third-party tools to manage patient data and clinical protocols. The software tool provides a modern user interface, supporting multi-platforms such as mobile and desktop devices. GenericCDSS is publicly available at https://github.com/bioinformatics-ua/GenericCDSS, under a GNU GPL license.