One of the more challenging aspects of emergency department (ED) healthcare is determining which patients to admit for observation and which patients to send home. One healthcare system is tackling that challenge with predictive analytics.
Unnecessary hospitalizations cause numerous problems: longer wait times, a lack of beds for the patients that really need them, wasted time of emergency medical staff, not to mention costs borne by patients, hospitals and insurers. On the other hand, failing to admit patients that really do need care can have deadly consequences.
NorthShore University HealthSystem, which operates four hospitals in Illinois, is leveraging data and predictive analytics to address that challenge. The project, dubbed ‘Technology-driven Chest Pain Management in the ED,’ won NorthShore a CIO 100 Award in IT Excellence.
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