A Wall Street Journal article noted: “Researchers are analyzing pools of patient information collected from routine checkups to help doctors better diagnose their patients. This type of data is easier to mine thanks to the rise in electronic health records that contain information collected in regular doctor visits.”
“Big data generally refers to information that is too large—terabytes to petabytes or even exabytes of memory—to process with older standards of processing power. Researchers say it is important to do additional studies beyond data mining to learn more.” Read more
The Bloomberg article noted “You may soon get a call from your doctor if you’ve let your gym membership lapse, made a habit of picking up candy bars at the check-out counter or begin shopping at plus-sized stores.”
“That’s because some hospitals are starting to use detailed consumer data to create profiles on current and potential patients to identify those most likely to get sick, so the hospitals can intervene before they do.”
Vast amounts of data from genomic sequencing and electronic health records (EHRs) have the potential to radically improve the health of individual patients, but first, institutions must learn how to manage the data, and adopt uniform standards that allow them to share it.
This discussion took center stage at a Working Summit on Big Data hosted by The Atlantic in partnership with the Mount Sinai Health System on Wednesday, October 23, at The New York Palace Hotel. At a roundtable discussion, 24 policymakers, entrepreneurs, and health care leaders shared their thoughts and experiences in harnessing petabytes of data for use in improving human health.
The Graduate School of Biomedical Sciences has been training many of our nation’s finest scientists for more than four decades and inspiring them to translate their discoveries into effective treatments for human diseases.
Today, Mount Sinai is a leader in bringing “big data” to biomedical sciences, both in our laboratories and in our classrooms. By connecting with the Icahn Institute for Genomics and Multiscale Biology, the Graduate School has developed innovative courses that teach students how to use the new frontier of computational genomics in the laboratory setting. Many of our most devastating diseases are due to complex changes in our genes and how they interact with our environment. Our students learn how to embrace this complexity.