Publications by authors named "Lew Berman"
Assessing the Data Quality Dimensions of Surgical Oncology Cohorts in the Research Program.
JCO Clin Cancer Inform
July 2025
Purpose: Cancer is a leading cause of morbidity and mortality in the United States. Mapping electronic health record (EHR) data to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) may standardize data structure and allow for multiple database oncology studies. However, the number of oncology studies produced with the OMOP CDM has been low.
View Article and Find Full Text PDFBackground: Breast cancer is prevalent among females in the United States. Nonmetastatic disease is treated by partial or complete mastectomy procedures. However, the rates of those procedures vary across practices.
View Article and Find Full Text PDFArticle Synopsis
- There is a significant risk of reinforcing existing health inequalities in AI health technologies due to biases, primarily stemming from the datasets used.
- The STANDING Together recommendations focus on transparency in health datasets and proactive evaluation of their impacts on different population groups, informed by a comprehensive research process with over 350 global contributors.
- The 29 recommendations are divided into guidance for documenting health datasets and strategies for using them, aiming to identify and reduce algorithmic biases while promoting awareness of the inherent limitations in all datasets.
Purpose: The specific aims of this paper are to (1) develop and operationalize an electronic health record (EHR) data quality framework, (2) apply the dimensions of the framework to the phenotype and treatment pathways of ductal carcinoma in situ (DCIS) using Research Program data, and (3) propose and apply a checklist to evaluate the application of the framework.
Methods: We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability and Accountability Act authorization to share EHR data and responded to demographic questions in the Basics questionnaire.
Introduction: It is important to quickly identify parent beliefs, intentions, and behaviors toward childhood vaccination, especially parents of children 19 to 35 months. This paper describes parental immunization beliefs, intentions, and behaviors; assesses the relationships between beliefs and intentions regarding child immunization and actual behaviors; and assesses whether beliefs, intentions, and/or behaviors varied across demographic subgroups.
Methods: A sample of parents, ages 18 and older, from a mobile panel with people residing in the U.
Introduction: Few state or local health agencies have accurate local-level information on the prevalence of the leading causes of morbidity and mortality. The New York City Health and Nutrition Examination Survey (NYC HANES) was designed as a new local surveillance initiative to determine the prevalence of health conditions among adult residents of New York City.
Methods: Modeled after the National Health and Nutrition Examination Survey, the survey was initiated in June 2004 as a population-based cross-sectional study of New York City adults aged 20 and older.