{"id":650898,"date":"2013-04-05T18:29:56","date_gmt":"2013-04-05T22:29:56","guid":{"rendered":"http:\/\/gigaom.com\/?p=628262"},"modified":"2013-04-05T18:29:56","modified_gmt":"2013-04-05T22:29:56","slug":"big-data-could-mean-big-savings-in-health-care-but-heres-what-has-to-happen-first","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/650898","title":{"rendered":"Big data could mean big savings in health care \u2013 but here\u2019s what has to happen first"},"content":{"rendered":"

<\/del>Properly exploiting big data in health care could mean up to $450 billion in savings health care organizations and consumers according to a recent report<\/a> from consulting firm McKinsey. But don\u2019t get too excited yet \u2013 that data-optimized future isn\u2019t just going to fall in our laps.<\/p>\n

An abundance of newly available information — from research and development data aggregated by pharmaceutical companies to digitized patient records to recently-released health information from the federal government and other public sources — combined with new technology has the potential to transform health. But, according to the report, to really \u201cjujitsu\u201d<\/a> that data (as the country\u2019s CTO Todd Park likes to say), the industry may need to shift its thinking and scale some obstacles first.<\/p>\n

\u201cStakeholders will only benefit from big data if they take a more holistic, patient-centered approach to value, one that focuses equally on health-care spending and treatment outcomes,\u201d McKinsey\u2019s report said.<\/p>\n

To do that, the analysis laid out a few guidelines, including:<\/p>\n