FOUND EXPERIMENTS
FOUND EXPERIMENTS
The health system is experimenting all the time: decades of research into variations across regions, hospitals, and doctors have taught us that the care you get depends on quirks and preferences as much as solid evidence. Can we use these variations to teach us about what works and what doesn’t in health care?
STRAIN
STRAIN
We know it when we see it: certain things place the body under great strain — surgery, cancer, age, and other shocks to the system. Strain shows up everywhere, from sleep to appetite, but it’s surprisingly hard to define. What if machine algorithms could ‘see’ and measure signs of strain, by integrating data from across the many organ systems and functions that make up the body?
WASTE
WASTE
When people look at the health care system, many see enormous amounts of waste: unnecessary tests and treatments, low returns to care. Knowing who needs a test or treatment is hard, and doctors make mistakes. Can machine algorithms help doctors target health care to those who need it — and away from those that don’t?
FOUND EXPERIMENTS
The health system is experimenting all the time: decades of research into variations across regions, hospitals, and doctors have taught us that the care you get depends on quirks and preferences as much as solid evidence. Can we use these variations to teach us about what works and what doesn’t in health care?
STRAIN
We know it when we see it: certain things place the body under great strain — surgery, cancer, age, and other shocks to the system. Strain shows up everywhere, from sleep to appetite, but it’s surprisingly hard to define. What if machine algorithms could ‘see’ and measure signs of strain, by integrating data from across the many organ systems and functions that make up the body?
WASTE
When people look at the health care system, many see enormous amounts of waste: unnecessary tests and treatments, low returns to care. Knowing who needs a test or treatment is hard, and doctors make mistakes. Can machine algorithms help doctors target health care to those who need it — and away from those that don’t?
SENSORS
SENSORS
More and more people are wearing biometric sensors that record and analyze heart rhythm, oxygen levels, movement patterns, and more. But the amount of data these sensors generate is enormous — literally years worth of continuous measurements. Can we leverage machine intelligence to drive new insights into disease and prevention?
VITAL SIGNS
VITAL SIGNS
Every first year medical student learns the vital signs — pulse, blood pressure, respiratory rate, oxygen level, and temperature — that doctors have used to capture key elements of the body’s state for thousands of years. But are the same vital signs the right ones for us to use today?
SENSORS
More and more people are wearing biometric sensors that record and analyze heart rhythm, oxygen levels, movement patterns, and more. But the amount of data these sensors generate is enormous — literally years worth of continuous measurements. Can we leverage machine intelligence to drive new insights into disease and prevention?
VITAL SIGNS
Every first year medical student learns the vital signs — pulse, blood pressure, respiratory rate, oxygen level, and temperature — that doctors have used to capture key elements of the body’s state for thousands of years. But are the same vital signs the right ones for us to use today?
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