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The University of San Francisco

Doctor of Nursing Practice (DNP) Projects

2020

Quality improvement

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Application Of Sustainability Framework For Quality Improvement In An Integrated Health System, Cristine Lacerna Dec 2020

Application Of Sustainability Framework For Quality Improvement In An Integrated Health System, Cristine Lacerna

Doctor of Nursing Practice (DNP) Projects

Problem: Sustaining improvement in quality and patient safety is a critical challenge confronting healthcare today (Lennox, Maher & Reed, 2018). Failure to sustain the gains achieved with the improvement and results in harmful patient outcomes, wasted resources, and impact future improvement work (Lennox et al., 2018). Context: To address this challenge, the organization for this DNP project was a large, integrated healthcare system with 21 medical centers in Northern California with a redesigned a regional quality program to focus primarily on supporting the sustainability of patient safety initiatives that have been successfully implemented and spread. Interventions: Two frameworks from the …


Implementation Of Artificial Intelligence Initiated Rapid Responses To Reduce In-Hospital Cardiac Arrest, Alicia Potolsky Dec 2020

Implementation Of Artificial Intelligence Initiated Rapid Responses To Reduce In-Hospital Cardiac Arrest, Alicia Potolsky

Doctor of Nursing Practice (DNP) Projects

Hospitals with strong and consistently activated rapid response teams (RRTs) have significantly fewer cardiac arrests. Early recognition of clinical deterioration supports the timely activation of RRTs, which increases earlier assessment and intervention. Current early warning tools are not sufficient and reliable for recognizing patient deterioration, and they are evolving, incorporating artificial intelligence (AI) to identify clinical decline much earlier. The project organization had previously implemented the medical early warning score tool into the RRT nurses’ practice to prioritize patient assessments, but this was not sustained due to its unreliability in identifying patients at risk.

Aiming to reduce the number of …