Review Complete

TRACE: An AI-Integrated Tool for Early Management in Patients with Pregnancy of Unknown Location

Proposal Status: 

Section 1. The UCSF Health problem

Improving Access to Advance Care Planning Goals of Care Documentation in the EHR Using AI

Proposal Status: 

1. The UCSF Health Problem

AI-Augmented Fall Prevention Tool for Nurses

Proposal Status: 

This proposal outlines the development of an AI-Augmented Fall Prevention Tool aimed at reducing inpatient falls by providing nurses with real-time, tailored, and actionable recommendations using clinical data. The tool integrates a dynamic risk prediction model, LLM-generated clinical decision support system, and feedback mechanism with "a nurse in the loop" to continuously refine model performance. The initiative seeks to improve patient safety, reduce documentation burden, and serve as a scalable model for nursing-led AI innovation in healthcare​.

SNAP Into Action: Building an EHR Dashboard to Track Delayed Antibiotic Prescriptions in Pediatric Acute Otitis Media

Proposal Status: 

The UCSF Health Problem

Harnessing Artificial Intelligence to Develop an Interdisciplinary Approach to Reduce Hospital-Acquired Pressure Injury (HAPI)

Proposal Status: 

The UCSF Health Problem: Hospital Acquired Pressure Injury (HAPI) is a preventable injury to skin or soft tissue that is acquired during a patient’s hospital stay. Reducing HAPI rates is a top priority for UCSF Health leadership as the occurrence of HAPI is detrimental to patient experience and outcomes, results in significant costs (estimated cost to the health system for 1 HAPI is $18,000-$27,000), and is a critical quality measure in the evaluation of hospital performance.

Adaptive closed-loop large language model platform to improve imaging surveillance of intracranial tumors

Proposal Status: 

1. The UCSF Health problem: Imaging surveillance represents a cornerstone of brain tumor management and includes surveillance of incidental lesions that may require future treatment or post-treatment follow-up to ensure disease control. Intracranial lesions are relatively common on magnetic resonance imaging and are incidentally seen in 0.7-1.6% of the general population 1,2. These typically include “benign” tumors that are slow growing and may require years of follow-up.

Reducing Hospital-Acquired Infections Through Creation of HAI Diagnostic Excellence at UCSF

OPG Proposal Status: 

PROJECT LEAD(S): Cass Sandoval, Adult Critical Care CNS; Amy Larsen, Adult Critical Care CNS; Lindsay Bolt, Adult Medical CNS

EXECUTIVE SPONSOR(S): 

  • True North Outcomes Committee:
    • Art Dominguez, Chief Nursing Officer for Adult Services
    • Nerys Benfield, Chief Medical Officer for Adult Services
    • Debbie Yokoe, Medical Director, Hospital Epidemiology and Infection Prevention

ABSTRACT 

Pre-Surgery Clinic Patient Resource Navigator Program for the Benioff Children's Hospital

OPG Proposal Status: 
  • PROJECT LEAD(S): Lan Vu, MD, MAS; Doruk Ozgediz, MD, MSc
  • EXECUTIVE SPONSOR(S): Atsuko Baba, MD; Hanmin Lee, MD
  • ABSTRACT - One paragraph summary of your proposed initiative – Limit 1500 characters (with spaces)

There is growing literature on the importance of social drivers of health (SDoH) on surgical quality outcomes in the pediatric population.

Laser hair removal as a treatment modality in pilonidal disease: Providing access to care in the East Bay and beyond

OPG Proposal Status: 

PROPOSAL TITLE: Laser hair removal as a treatment modality in pilonidal disease: Providing access to care in the East Bay and beyond

PROJECT LEAD(S): Alicen Kershaw, NP, Layna Blurton, NP, Kreev Joundi, RN, Dr Sunghoon Kim

EXECUTIVE SPONSOR(S): Christopher Newton, MD

Pages