Better medical outcomes at lower cost -- these are the goals of modern health care. Data and analytics can play a major role in helping to achieve these objectives by enabling evidence-based decision making in the industry. Alas, with but a few exceptions, that promise has not yet been delivered. Why?
Health care is a risk-averse industry. With decisions that can have life and death consequences, new business models and processes are adopted cautiously. Unfortunately, health care has not widely taken to many technologies now pervasive in the commercial world. And data that is common – claims, clinical, electronic health records, genetic, and personal health device-generated -- exist primarily in non-integrated silos.
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