Publications by authors named "Niloofar Radgoudarzi"
Importance: Risk stratification of patients at risk of progression to proliferative diabetic retinopathy (PDR) enables earlier detection and more efficient allocation of health care resources.
Objective: To develop survival models to predict progression to PDR in patients with type 2 diabetes.
Design, Setting, And Participants: This prognostic study used deidentified electronic health record data from the University of California (UC) Health Data Warehouse (UCHDW) from March 1, 2012, to July 3, 2024.
Prcis: In this multi-institutional effort, we identified gaps in SAP data elements within medical terminologies. We proposed new concepts to LOINC to enhance SAP data standards and big data representation and improve interoperability across health care systems.
Purpose: To identify gaps in the representation of Standard Automated Perimetry (SAP) data elements in Logical Observation Identifiers Names and Codes (LOINC) and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and propose solutions for those gaps.
Purpose: To investigate barriers to health care access and use among patients with noninfectious uveitis (NIU) across different racial and ethnic groups.
Design: Retrospective cross-sectional study.
Participants: Participants in the nationwide All of Us Research Program who received a diagnosis of chronic NIU.
Article Synopsis
- The study examines geographic patterns of supply and demand for ocular oncology healthcare in the U.S., focusing on uveal melanoma treatment by ocular oncology physicians.
- Methods included analyzing Google search interest data, calculating relative demand indices (gRDI, mRDI, iRDI) using population and prevalence data, and assessing factors like poverty rates and urban/rural living conditions.
- Results showed variations in demand and physician density across states, with Alabama having the highest search interest and Vermont the highest physician density, while undersupply issues were noted in New Mexico and correlations with rural status were identified.
Objective: To identify common factors associated with periocular cutaneous malignancies using the National Institutes of Health (NIH) database.
Methodology: In this case-control study, we extracted electronic health records and sociodemographic data for 385 cases of periocular cutaneous malignancies from the nationwide database. Controls ( = 1540) were matched to the demographic characteristics of the 2020 United States Census.
A review of ophthalmology education in the era of generative artificial intelligence.
Asia Pac J Ophthalmol (Phila)
September 2024
Article Synopsis
- The study explores how generative AI, especially large language models (LLMs), can be integrated into ophthalmology education and practice, highlighting their applications and potential benefits.
- It reviews current literature and educational programs, revealing that while LLMs could enhance diagnostic accuracy and education, challenges like AI errors and biases hinder their clinical use.
- The findings suggest that future advancements should focus on creating comprehensive training curricula, developing evaluation metrics, ensuring data security, and promoting ethical applications of AI in the field.
Background This study aimed to investigate the rationale, barriers, and facilitators of teleretinal camera implementation in primary care and endocrinology clinics for diabetic retinopathy (DR) screening across University of California (UC) health systems utilizing the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework. Methodology Institutional representatives from UC Los Angeles, San Diego, San Francisco, and Davis participated in a series of focus group meetings to elicit implementation facilitators and barriers for teleophthalmology programs within their campuses. Site representatives also completed a survey regarding their program's performance over the calendar year 2022 in the following areas: DR screening camera sites, payment sources and coding, screening workflows including clinical, information technology (IT), reading, results, pathologic findings, and follow-up, including patient outreach for abnormal results.
View Article and Find Full Text PDFBackground And Objectives: The SARS-COVID-19 pandemic significantly limited healthcare access. We sought to evaluate whether California's lockdown in March 2020 affected staging and time to treatment of pancreatic ductal adenocarcinoma (PDAC). We hypothesized that patients diagnosed after the lockdown would have longer time to treatment and higher stage at presentation.
View Article and Find Full Text PDFThe high prevalence of tobacco/nicotine use among youth, including e-cigarettes, is a public health problem in the United States. Early exposure leads to an increased risk of dependence and health consequences in adulthood. We reviewed the literature on current treatment approaches for nicotine/tobacco use in adolescents/young adults and highlighted underexplored areas of treatment research.
View Article and Find Full Text PDFArticle Synopsis
- Despite ongoing challenges in following opioid prescribing guidelines after surgeries, implementing a tailored electronic health record (EHR) order set could improve adherence by providing specific tablet quantities for different procedures based on established limits.
- A study on patients undergoing various surgical procedures found that the mean prescribed morphine milligram equivalent significantly decreased from 62.6 preintervention to 50.4 postintervention, with thyroidectomy and parathyroidectomy showing the most substantial reductions.
- Additionally, the rate of emergency department visits for pain control dropped from 2.5% to 0.2% after the intervention, indicating potential improvements in post-surgery pain management with the EHR order set. *