After decades as a technological laggard, medicine has entered its data age. Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information about our individual makeup and the environment around us. The sum of this information could transform medicine, turning a field aimed at treating the average patient into one that’s customized to each person while shifting more control and responsibility from doctors to patients.
The question is: can big data make health care better? ...
WellDoc makes a prescription-only FDA-approved “patient coaching” system, which advises users on how much insulin they should take in light of information recorded on their smartphones: blood sugar levels, recent meals, and exercise. It also offers tailored messages of encouragement and provides the patient’s doctor with treatment recommendations based on the data and established medical guidelines. A feature under development would enable the system to predict a hypoglycemic reaction and help users avoid it.
Ginger.io uses data collected (with permission) from a phone and other sensors to assess the behavior of people with mental illnesses such as depression. Are they calling loved ones, or getting enough sleep? When a patient is showing signs of struggling, someone can be alerted.
Over time, both companies will aggregate this information to help doctors study and improve treatment overall. “It’s like one of the largest clinical trials in history,” says Chris Bergstrom, WellDoc’s chief strategy and commercial officer. “And it’s not even in an artificial environment—it’s in real time.”
sreda, 30. julij 2014
Nekaj odlomkov iz članka: Can Mobile Technologies and Big Data Improve Health? | MIT Technology Review