By Louis Frolio
In Part I of this series I asserted that healthcare has the most to gain from the adoption of big data. Using a quote from the CEO of a leading healthcare technology company, I qualified the assertion:“The end story is not the big data, or the analytics that comes from it. The real value of gleaning big data insights is to embed them in the workflow of the people who need them just-in-time to support actualizing the information.”
The number one cause of death in the United States is attributed to errors and mistakes of our healthcare system.
Putting this into perspective, the documented error rate of Intensive Care Units (ICU) is equivalent to the U.S. Postal Service losing 16,000 pieces of mail every hour of every day, 365 days per year.
Information technology and data are crucial components needed to reverse this situation. Moreover, they also provide the means to deliver a better experience of care, lower healthcare costs, and improve population health. This is achievable because technology, at scale, puts information in the hands of the people who need it just in time to make better informed data-driven decisions.
Before that can be fully realized, healthcare must first overcome several systemic challenges, such as: