{"title":"社会媒体结果评估的健康智力模型","authors":"J. Woodside","doi":"10.1109/ITNG.2012.140","DOIUrl":null,"url":null,"abstract":"Within healthcare there is an opportunity for social media to improve overall care. Despite the currently established capabilities, there is still much room for improvement and growth in healthcare social media as compared with traditional forms of social media. The development of a healthcare specific data model for modeling social media is required to appropriately measure outcomes and demonstrate the value of social media in healthcare. The management questions include how to setup a health intelligence data model in order to appropriately capture, organize, interpret, and analyze patient outcomes related to social media. This paper develops a data mode with, dimensional values and application for tracking social media outcomes to allow for advanced analysis and healthcare intelligence insights to applicable stakeholders.","PeriodicalId":117236,"journal":{"name":"2012 Ninth International Conference on Information Technology - New Generations","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Health Intelligence Model for Evaluation of Social Media Outcomes\",\"authors\":\"J. Woodside\",\"doi\":\"10.1109/ITNG.2012.140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Within healthcare there is an opportunity for social media to improve overall care. Despite the currently established capabilities, there is still much room for improvement and growth in healthcare social media as compared with traditional forms of social media. The development of a healthcare specific data model for modeling social media is required to appropriately measure outcomes and demonstrate the value of social media in healthcare. The management questions include how to setup a health intelligence data model in order to appropriately capture, organize, interpret, and analyze patient outcomes related to social media. This paper develops a data mode with, dimensional values and application for tracking social media outcomes to allow for advanced analysis and healthcare intelligence insights to applicable stakeholders.\",\"PeriodicalId\":117236,\"journal\":{\"name\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNG.2012.140\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth International Conference on Information Technology - New Generations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNG.2012.140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health Intelligence Model for Evaluation of Social Media Outcomes
Within healthcare there is an opportunity for social media to improve overall care. Despite the currently established capabilities, there is still much room for improvement and growth in healthcare social media as compared with traditional forms of social media. The development of a healthcare specific data model for modeling social media is required to appropriately measure outcomes and demonstrate the value of social media in healthcare. The management questions include how to setup a health intelligence data model in order to appropriately capture, organize, interpret, and analyze patient outcomes related to social media. This paper develops a data mode with, dimensional values and application for tracking social media outcomes to allow for advanced analysis and healthcare intelligence insights to applicable stakeholders.