The past decade in rheumatology has seen tremendous innovation in digital health
technologies, including the electronic health record, virtual visits, mobile health, wearable …

Abstract Machine learning models may be integrated into clinical decision support (CDS)
systems to identify children at risk of specific diagnoses or clinical deterioration to provide …

Objectives: Develop and implement a machine learning algorithm to predict severe sepsis
and septic shock and evaluate the impact on clinical practice and patient outcomes. Design …

Globally, the number of drug prescriptions is increasing causing more adverse drug events,
which is now a significant cause of mortality, morbidity, and disability that has reached …

Objective To improve patient safety and clinical outcomes by reducing the risk of prescribing
errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing …

Objective Stress and burnout due to electronic health record (EHR) technology has become
a focus for burnout intervention. The aim of this study is to systematically review the …

Background Novel viral pandemics present significant challenges to global public health.
Non-pharmaceutical interventions (eg social distancing) are an important means through …

Importance Understanding how the electronic health record (EHR) system changes clinician
work, productivity, and well-being is critical. Little is known regarding global variation in …

Background The task complexity involved in connecting to telehealth video visits may
disproportionately impact health care access in populations already experiencing inequities …

Background Many patients with acute low back pain (LBP) first seek care from primary care
physicians. Evidence is lacking for interventions to prevent transition to chronic LBP in this …