The University Health System in San Antonio, like all health systems, is looking for better ways to curb hospital readmission rates, and is attempting to do so by learning which patients are at high risk as soon as they enter the hospital.
The Level I trauma center and teaching hospital is implementing a new software platform developed by Parkland Center for Clinical Innovation, called Pieces, which claims to alert providers within 24 hours of a patient check-in if he or she has a higher risk for readmission by analyzing clinical and social data found in the patient’s EHR, according to Dallas-based PCCI.
Source: MedCity News
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