Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line
treatment of many disorders including hypertension, obesity, and diabetes. Lifestyle …

Construct: We aimed to develop an instrument to measure the quality of inpatient electronic
health record–(EHR–) generated progress notes without requiring raters to review the …

Background Obesity is associated with an increased risk of multiple conditions, ranging from
heart disease to cancer. However, there are few predictive models for these outcomes that …

OBJECTIVE To investigate the relationship between lifestyle counseling in primary care
settings and clinical outcomes in patients with diabetes. RESEARCH DESIGN AND …

Aim Decline of insulin therapy by patients is common but poorly investigated. We conducted
this study to determine patient and treatment characteristics predictive of glycemic control …

Background Clinical events suggestive of nutrition care found in electronic health records
(EHRs) are rarely explored for their associations with hypertension outcomes. Methods …

Natural language processing (NLP) is used increasingly widely in the field of diabetes,
ranging from the identification of hypoglycemic events to building predictive models for …

Background Documentation in Electronic Health Records (EHRs) of nutrition care events
(overweight or obesity (BMI> 25 or 30, respectively) diagnoses, preventive care visits, or …

Physicians demonstrate an insufficiency in medical nutrition training, yet are expected to
deliver nutrition counseling to patients with chronic disease. There is a clear understanding …

The goal of this project was to determine if a primary care-based quality improvement project
could enhance provider documentation reflecting national guidelines of care through the …