Retrospective analyses of real-world clinical data face challenges owing to the absence of
some data elements. Historically, missing data was addressed by first classifying its presence …

Background In this study, the authors sought to explore the receptivity, preparedness, and
rates of adoption of integrated medical-dental models of care (MOCs) in the practice setting …

The objective was to develop a predictive model using medical-dental data from an integrated
electronic health record (iEHR) to identify individuals with undiagnosed diabetes mellitus (…

Background The International Classification of Disease (ICD) coding for pneumonia classification
is based on causal organism or use of general pneumonia codes, creating challenges …

Background: The objective of this study was to build models that define variables contributing
to pneumonia risk by applying supervised Machine Learning-(ML) to medical and oral …

Objective The objective of the study was to investigate temporal trends in non‐traumatic dental
condition (NTDC) related emergency visits at Emergency Department (ED), urgent care (…

Background Mounting evidence indicates potential associations between poor oral health
status (OHS) and increased pneumonia risk. Relative pneumonia risk was assessed in the …

Introduction Pneumonia is caused by microbes that establish an infectious process in the
lungs. The gold standard for pneumonia diagnosis is radiologist-documented pneumonia-…

Introduction: To conduct a statewide survey among Wisconsin-based dental providers evaluating
current knowledgeability, attitudes and practice behaviors surrounding management of …

The Institute for Healthcare Improvement (IHI) defined Triple Aim as simultaneous pursuit of
three goals including improving the health of population, improving the experience of care …