Question from Brian Eastwood, senior editor at CIO Online:
Healthcare is full of individual instances of data analytics “wins” – Hospital X reducing readmissions, Health System Y cutting prescription costs or Practice Z streamlining its bulk buying of tongue depressor. How does healthcare move from easy wins in analytics to more tangible, repeatable results?
It’s hard to find a healthcare conference without a big data track these days. Most of the presentations focus on what a particular institution did, not how it did what it did. There’s certainly a place for such case studies, as they can inspire healthcare leaders to look at existing problems in news ways. In focusing on ‘what’ and not ‘how,’ though, healthcare runs the risk of keeping the expertise that’s needed to pull off a successful data analytics initiative as siloed as the data itself. We can’t talk about healthcare data analytics without getting down and dirty—discussing how to sell it to executives, how to allocate resources, how to disseminate and interpret the results and, critically, how to make analytics an integral part of an institution’s business strategy.
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