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.
The software then aims to help providers focus on specific services for the patient throughout the hospital stay and beyond discharge.
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Physicians, nurses and case managers will have early access to information, thereby enabling a more cohesive and better-planned care approach. PCCI and the hospital said they will work together to optimize UHS’s existing care plans for high-risk patients in order to get the best possible results.
Knowing ahead of time, or at least as soon as possible, which patients pose a high risk could be especially beneficial for a regional trauma center.
“As with most healthcare organizations across the country, we are looking into better ways to care for our patients in the hospital setting, as well as to help patients and family members manage their condition after they’ve been discharged,” said Dr. Bryan Alsip, executive vice president and chief medical officer of University Health System.”The system developed by PCCI will help us quickly identify which patients are at a higher risk of readmission. That will allow our providers to focus more precisely on their health care needs.”
