Infectious Disease


Machine-Learning Prediction Model for Personalized Urinary Tract Infection Care in Children

Description

The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram timing and use for diagnosing vesicoureteral reflux (VUR) in children, aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections (fUTIs) by standardizing practices, minimizing unnecessary procedures, and ensuring timely diagnosis for those at highest risk, ultimately seeking to prevent renal injury from fUTIs.

Grant Number
K08 HS029526
Principal Investigator(s)

Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning

Description

This research uses large language models and machine learning to retrospectively analyze electronic health records of patients with suspected sepsis and identify patterns in treatment outcomes, with the goal of shaping future clinical guidelines that help doctors select the most effective antibiotics for each patient, reduce unnecessary use of broad-spectrum antibiotics, lower the risks of drug resistance, and ultimately improve patient outcomes.

Grant Number
K08 HS030118
Principal Investigator(s)

Application of participatory ergonomics to the dissemination of a quality improvement program for optimizing blood culture use.

Principal Investigator

Advancing Population and Public Health Reporting and Outcomes with Vaccination Data Exchange (APPROVE) – Final Report

Principal Investigator

Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems.

Principal Investigator

Adapting an electronic STI risk assessment program for use in pediatric primary care.

Principal Investigator

Assessing the Relationship Between Care Processes and Clinical Decision Support for Order Entry - Final Report

Principal Investigator

Neonatal intensive care workflow analysis informing NEC-zero clinical decision support design.

Principal Investigator

The use of the consolidated framework for implementation research to understand facilitators and barriers to sexually transmitted infection screening in primary care.

Principal Investigator