{"title":"健康大数据:心血管疾病的新前沿","authors":"","doi":"10.31887/hm.2020.82/ggalasso","DOIUrl":null,"url":null,"abstract":"Despite improvement in diagnosis and management, cardiovascular disease (CVD) is the leading cause\nof death and hospitalization throughout the world. The expansion of digital cardiology presents outstanding\nopportunities for clinicians, researchers, and health care administrators to improve outcomes and sustainability\nof health systems. Electronic big health data combining electronic health records (EHRs) from diverse individuals\nacross a wide variety of platforms may provide a real-time solution to questions and problems relating to health.\nVery large population studies based on EHR are efficient and cost-effective, and offer an alternative to traditional\nresearch approaches. Indeed, digital cardiology can help researchers to enhance, diagnose, and manage CVD\nusing dedicated algorithms that allow targeted and personalized CVD treatments","PeriodicalId":35477,"journal":{"name":"Heart and Metabolism","volume":"173 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big health data: the new frontier for cardiovascular disease\",\"authors\":\"\",\"doi\":\"10.31887/hm.2020.82/ggalasso\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite improvement in diagnosis and management, cardiovascular disease (CVD) is the leading cause\\nof death and hospitalization throughout the world. The expansion of digital cardiology presents outstanding\\nopportunities for clinicians, researchers, and health care administrators to improve outcomes and sustainability\\nof health systems. Electronic big health data combining electronic health records (EHRs) from diverse individuals\\nacross a wide variety of platforms may provide a real-time solution to questions and problems relating to health.\\nVery large population studies based on EHR are efficient and cost-effective, and offer an alternative to traditional\\nresearch approaches. Indeed, digital cardiology can help researchers to enhance, diagnose, and manage CVD\\nusing dedicated algorithms that allow targeted and personalized CVD treatments\",\"PeriodicalId\":35477,\"journal\":{\"name\":\"Heart and Metabolism\",\"volume\":\"173 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Heart and Metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31887/hm.2020.82/ggalasso\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heart and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31887/hm.2020.82/ggalasso","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Big health data: the new frontier for cardiovascular disease
Despite improvement in diagnosis and management, cardiovascular disease (CVD) is the leading cause
of death and hospitalization throughout the world. The expansion of digital cardiology presents outstanding
opportunities for clinicians, researchers, and health care administrators to improve outcomes and sustainability
of health systems. Electronic big health data combining electronic health records (EHRs) from diverse individuals
across a wide variety of platforms may provide a real-time solution to questions and problems relating to health.
Very large population studies based on EHR are efficient and cost-effective, and offer an alternative to traditional
research approaches. Indeed, digital cardiology can help researchers to enhance, diagnose, and manage CVD
using dedicated algorithms that allow targeted and personalized CVD treatments