Objective: This study aimed to develop a machine-learning (ML) model to predict the risk for Periodontal Disease (PD) based on nonimage electronic dental records (EDRs).
Methods: By using EDRs collected in the BigMouth repository, dental patients from the US were included. Patients were labeled as cases or controls, based on PD diagnosis, treatment and pocketing.
Objectives: Duplicate patient records can increase costs and medical errors. We assessed the association between demographic factors, comorbidities, health care usage, and duplicate electronic health records.
Methods: We analyzed the association between duplicate patient records and multiple demographic variables (race, Hispanic ethnicity, sex, and age) as well as the Charlson Comorbidity Index (CCI), number of diagnoses, and number of health care encounters.
Pulse oximetry (SpO) is a critical monitor for assessing oxygenation status and guiding therapy in critically ill patients. Race has been identified as a potential source of SpO error, with consequent bias and inequities in healthcare. This study was designed to evaluate the incidence of occult hypoxemia and accuracy of pulse oximetry associated with the Massey-Martin scale and characterize the relationship between Massey scores and self-identified race.
View Article and Find Full Text PDFBackground: Patient outcomes are improved with physician-patient gender, racial, and ethnic concordance. However, female, Black, Hispanic or Latino, Native Hawaiian-Pacific Islander (NH-PI), and American Indian-Native Alaskan (AI-AN) physicians are underrepresented in anesthesiology. The American Association of Medical Colleges 2018 Diversity in Medicine Report revealed that women comprise only 35% of anesthesiologists yet nearly half of medical school graduates are women.
View Article and Find Full Text PDFJ Soc Cardiovasc Angiogr Interv
July 2024