Medical data has traditionally been a product of information obtained through health tests, but this form of data collection can often fail to contribute to true preventive healthcare. Health systems and data are designed to treat patients, but patients ultimately want to return to being just people again.
Fast and relatively easy access to medical data, such as electronic health records, clinical information, and surveys, tells doctors almost everything about a patient’s health and well-being. But medical data, as we currently define it, rarely addresses a patient’s lifestyle, relationships, exercise habits, and diet – despite this form of ‘life data’ revealing as much about patients as their blood pressure, lipid profile, and disease history.
As our data-crunching ability grows and the devices that collect that data shrink to previously unimaginable sizes, the potential to collect and make sense of this data is huge. Big data could also lead to new approaches in prevention, early detection, and treatment of disease throughout the world.
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