Publications by authors named "C L Raskind-Hood"
Article Synopsis
- The Society of Thoracic Surgeons Congenital Heart Surgery Database is a major global resource on congenital heart surgeries, but lacks data on complications, comorbidities, and long-term patient outcomes.
- This study assessed how effectively this database could be linked to hospital electronic health records in North Carolina and Georgia, using both indirect and direct identifiers.
- Results showed that indirect linkage matched 79% of admissions, while direct methods achieved up to 99.5% success, demonstrating the effectiveness of integrating surgical data with electronic records for better patient care insights.
Background: Socioeconomic factors may lead to a disproportionate impact on health care usage and death among individuals with congenital heart defects (CHD) by race, ethnicity, and socioeconomic factors. How neighborhood poverty affects racial and ethnic disparities in health care usage and death among individuals with CHD across the life span is not well described.
Methods And Results: Individuals aged 1 to 64 years, with at least 1 CHD-related () code were identified from health care encounters between January 1, 2011, and December 31, 2013, from 4 US sites.
Background: The 2018 anatomic physiologic (AP) classification American Heart Association/American College of Cardiology (AHA/ACC) Guidelines for Adults with Congenital Heart Disease (ACHD) encompasses both native and post-operative anatomy and physiology to guide care management. As some physiologic conditions and post-operative states lack specific International Classification of Diseases (ICD) 9- Clinical Modification (CM) and 10-CM codes, an ICD code-based classification approximating the ACHD AP classification is needed for population-based studies.
Methods: A total of 232 individuals, aged ≥ 18 years at the time of a health encounter between January 1, 2010 and December 31, 2019 and identified with at least one of 87 ICD codes for a congenital heart defect were validated through medical chart review.
Article Synopsis
- * Using a dataset of 779 patients, researchers analyzed various ML models and found that the eXtreme Gradient Boosting (XGBoost) algorithm outperformed others in predicting true positive CHD cases with a high positive predictive value (PPV) of 94%.
- * Overall, the findings suggest that implementing ML techniques can improve the identification of CHD in large datasets, thus strengthening public health surveillance and data reliability.
Background Administrative data permit analysis of large cohorts but rely on (), and () codes that may not reflect true congenital heart defects (CHDs). Methods and Results CHDs in 1497 cases with at least 1 encounter between January 1, 2010 and December 31, 2019 in 2 health care systems, identified by at least 1 of 87 / CHD codes were validated through medical record review for the presence of CHD and CHD native anatomy. Interobserver and intraobserver reliability averaged >95%.
View Article and Find Full Text PDF