How can doctors predict — and thus help prevent — when a patient is at increased risk of cardiac arrest while in the hospital? Does emergency room crowding affect care of patients on the hospital floor? What previously unknown links exist between weather events, staffing, patients’ lab values, outcomes, and other data, and how can this information be used to improve care?
The CRDW is an example of the kind of large, well-curated dataset that can make this advanced analysis possible. To learn more about how big data is making hospitals safer, read the interview with our director Sam Volchenboum in the Washington Post.
A ‘Netflix-like’ predictive model: Hospital systems could pinpoint which patients are most likely to code on their watch