{"id":5450,"date":"2015-06-01T16:46:59","date_gmt":"2015-06-01T16:46:59","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5450"},"modified":"2015-06-02T15:07:06","modified_gmt":"2015-06-02T15:07:06","slug":"infographic-the-future-of-clinical-business-intelligence-in-healthcare-0601152","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/infographic-the-future-of-clinical-business-intelligence-in-healthcare-0601152\/5450\/","title":{"rendered":"Infographic: The future of Clinical &#038; Business Intelligence in Healthcare"},"content":{"rendered":"The primary goal of an organization\u2019s clinical &#038; business intelligence strategy is to improve outcomes while adapting to new care models. Data alone is like crude oil \u2013 the value is tied to its potential. In the era of Big Data our healthcare organizations have learned that gathering data for the sake of gathering data yields little benefit. However, when data \u2013 as with crude oil &#8211; is refined the opportunities for use are multiplied. HIMSS Analytics\u2019 recent Essentials Brief, the 2015 Clinical &#038; Business Intelligence Study, found a 6 percent increase in the number of organizations using <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/infographic-the-future-of-clinical-business-intelligence-in-healthcare-0601152\/5450\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The primary goal of an organization\u2019s clinical &#038; business intelligence strategy is to improve outcomes while adapting to new care models. Data alone is like crude oil \u2013 the value is tied to its potential. In the era of Big Data our healthcare organizations have learned that gathering data for the sake of gathering data [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[431,59,42,428,430,432,429],"class_list":["post-5450","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-accountable-care","tag-analytics","tag-big-data","tag-business-intelligence-bi","tag-clinical","tag-meaningful-use","tag-population-health"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5450","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=5450"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5450\/revisions"}],"predecessor-version":[{"id":5452,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5450\/revisions\/5452"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5450"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5450"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}