{"id":1702,"date":"2013-06-14T14:51:16","date_gmt":"2013-06-14T14:51:16","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=1702"},"modified":"2013-06-14T14:56:29","modified_gmt":"2013-06-14T14:56:29","slug":"making-better-predictions-about-patient-health","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/making-better-predictions-about-patient-health\/1702\/","title":{"rendered":"Making Better Predictions about Patient Health"},"content":{"rendered":"&nbsp; In the future, doctors will be better able to help us ward off illnesses by analyzing information buried in medical records. That effort will be greatly enhanced by the ability to access electronic medical records in so-called health information exchanges. Those exchanges could give researchers access to large pools of anonymized health data, so they can more accurately spot trends. One impediment is that records today are often siloed in individual, medical systems. A group of five electronic medical record providers, Tuesday, said they would cooperate to make their systems better work together. This could be one <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/making-better-predictions-about-patient-health\/1702\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>&nbsp; In the future, doctors will be better able to help us ward off illnesses by analyzing information buried in medical records. That effort will be greatly enhanced by the ability to access electronic medical records in so-called health information exchanges. Those exchanges could give researchers access to large pools of anonymized health data, so [&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":[],"class_list":["post-1702","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1702","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=1702"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1702\/revisions"}],"predecessor-version":[{"id":1711,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1702\/revisions\/1711"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=1702"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=1702"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=1702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}