{"id":1895,"date":"2013-07-02T14:13:48","date_gmt":"2013-07-02T14:13:48","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=1895"},"modified":"2013-07-02T14:13:48","modified_gmt":"2013-07-02T14:13:48","slug":"ehr-oracles-merging-big-data-streams-could-create-mission-control-for-healthcare","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ehr-oracles-merging-big-data-streams-could-create-mission-control-for-healthcare\/1895\/","title":{"rendered":"EHR Oracles: Merging Big Data Streams Could Create Mission Control for Healthcare"},"content":{"rendered":"What if \u201celectronic health records\u201d could become \u201celectronic health oracles\u201d \u2013 not just recording the past, but helping to predict and influence the future? Thanks to a proliferation of data, \u201celectronic health oracles\u201d are well on their way to reality. In his book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Eric Siegel details how technology can be built to pore over millions of records (data) to predict the future behavior of individuals in ways that drive better decisions. The examples astound. From retailer Target identifying customers most likely to become pregnant to <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ehr-oracles-merging-big-data-streams-could-create-mission-control-for-healthcare\/1895\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>What if \u201celectronic health records\u201d could become \u201celectronic health oracles\u201d \u2013 not just recording the past, but helping to predict and influence the future? Thanks to a proliferation of data, \u201celectronic health oracles\u201d are well on their way to reality. In his book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or [&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],"tags":[42,74,73],"class_list":["post-1895","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-health-oracles","tag-healthcare"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1895","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=1895"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1895\/revisions"}],"predecessor-version":[{"id":1898,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1895\/revisions\/1898"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=1895"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=1895"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=1895"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}