Dr. Data is IN...
The technology that’s already increased retail revenues and made law enforcement more effective could enhance healthcare providers’ business, by improving patient outcomes and lowering costs.
What’s the future of big data in healthcare?
According to the McKinsey Global Institute, using data to better predict the healthcare needs of the U.S. population could save between $300 and $450 billion.
1. The Patient Data Warehouse
By 2015, the average hospital will have two-thirds of a petabyte (665 terabytes) of patient data, 80% of which will be unstructured data like CT scans and X-rays.
2. Predictive Medicine
Our grandchildren will view personalized medicine the way we view antibiotics. It’ll be impossible—terrifying even—to imagine a time when patients were treated with a “one size fits all” drug for cancer, diabetes or heart disease because we didn’t know the risks from our genes and lifestyle.
3. Wellness Maintenance
It doesn’t end there. Big data can unlock the patterns of risk factors—both genetic and behavioral—that lead to higher rates of some diseases in some people, and guide them to make the lifestyle and medication changes that will keep them well.
4. Just-In-Time Medicine
Obviously, treating patients at the wrong time and in the wrong place is costly. Scheduled care is much cheaper than unscheduled care. Today, the industry works hard to “maximize production,” but improved big-data analytics across the industry can help optimize it further.
The Bottom Line
A hundred-billion here, a hundred-billion there: Pretty soon, you’re talking serious money.
With possible savings of 10% of the entire U.S. medical bill, insights from big data could be the prescription for better care, lower costs and higher productivity.