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After the terrorist attacks of September 11, 2001, the Central Intelligence Agency enlisted the help of a Palo Alto-based startup, Palantir Technologies, to gather and analyze huge amounts of data to identify and understand terrorist groups and thwart their efforts.
As politicians have continued to debate the pros and cons of the Affordable Care Act, aka "Obamacare," some federal health officials have been working to spread the word about another aspect of healthcare reform: the move to give consumers more access to their own healthcare data.
For those hoping to use data analytics as a tool to help improve the U.S. healthcare system, patient records represent a potential gold mine of information to identify the most effective and cost-efficient practices to diagnose and treat specific conditions.
With only three quarters completed, 2013 has already been a record year for venture funding in digital health, according to San Francisco-based health IT incubator Rock Health, which has been tracking deals in the space since 2011.
Can big data provide the cure for what ails the U.S. healthcare system? While some might consider data analytics a panacea to help achieve a more effective, efficient healthcare system, there are plenty of challenges to overcome, according to participants in a panel on "Fact or Fiction: Healthcare Big Data," at the recent 2013 StrataRx conference in Boston.
As panelists at the 2013 StrataRx conference in Boston expounded last week on the potential of “big data” in healthcare, another, auspicious industry event was taking place not far away.
At the third and final day of the 2013 StrataRx conference in Boston, innovators in healthcare and big data assessed a rapidly evolving landscape. One of the key topics discussed was the current state of “deal flow” at the intersection of healthcare, big data and information technology.
Data will drive many of the sweeping changes coming with the Affordable Care Act to the U.S. healthcare system. At the StrataRx conference in Boston this week, innovators in “big data” for healthcare assessed its role in bringing advances in personalized and predictive medicine, major cost savings and research that leads to new technologies.
Creating a successful business model is just a first step. The real work begins when the business model is tested and adapted for the real world. Read more for tips.
Life science startups are finding partners lately in organizations that fight specific diseases. Read more about how these groups can help with financing and managing clinical trials.
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