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Hospital Software Targets High-risk Readmission Patients
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
Read the full story: http://bit.ly/1t39rvA
Subjective and Objective Impacts of Ambulatory AI Scribes
January 8th 2026Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline levels of documentation time.
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