Objective Social determinants of health (SDoH) are nonclinical dispositions that impact
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …

Background: Few studies have developed automatic systems for identifying social distress,
spiritual pain, and severe physical and phycological symptoms from text data in electronic …

Objective This study sought to create natural language processing algorithms to extract the
presence of social factors from clinical text in 3 areas:(1) housing,(2) financial, and (3) …

Clinical decision support tools rooted in machine learning and optimization can provide
significant value to healthcare providers through better management of intensive care units …

Importance Quantifying patient-physician cost conversations is challenging but important as
out-of-pocket spending by US patients increases and patients are increasingly interested in …

Introduction Identification of groups of patients or interventions with higher associated
treatment costs may be beneficial in efforts to decrease the overall financial burden of …

Introduction: This study aimed to explore the perceptions and experiences of family
caregivers and nurses after the signing of a do-not-resuscitate (DNR) order for patients in …

Background: Elderly patients in the intensive care unit (ICU) often suffer from cardiac
function impairment. Real-time monitoring of cardiac function and structural changes has …