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

Objectives To review through an ethics lens the state of research in clinical natural language
processing (NLP) for the study of bias and fairness, and to identify gaps in research …

Importance How patients with atrial fibrillation (AF) and their clinicians consider cost in
forming care plans remains unknown. Objective To identify factors that inform conversations …

According to Merriam-Webster, artificial intelligence (AI) is defined as a machine's capacity
to imitate intelligent human behaviors, such as reasoning and problem-solving. In …

Health care organizations are increasingly documenting patients for social risk factors in
structured data. Two main approaches to documentation, ICD-10 Z codes and screening …

Objective We aimed to examine the feasibility of applying natural language processing
(NLP) to unstructured electronic health record (EHR) documents to detect the presence of …

Qualitative methods can enhance our understanding of constructs that have not been well
portrayed and enable nuanced depiction of experience from study participants who have not …

Data science continues to be recognized and used within healthcare due to the increased
availability of large data sets and advanced analytics. It can be challenging for nurse leaders …

Background Patient–provider cost conversations can minimize cost-related barriers to
health, while improving treatment adherence and patient satisfaction. The authors sought to …

Many areas of clinical informatics research rely on accurate and complete race and ethnicity
(RE) patient information, such as estimating disease risk, assessing quality and performance …