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Plenary Presentations
Abstract Number: 0002
DO ENCOUNTERS WITH A FIELD-BASED HOMELESS HEALTHCARE TEAM IMPROVE CHRONIC DISEASE CONTROL AND REDUCE ACUTE CARE UTILIZATION FOR PEOPLE EXPERIENCING HOMELESSNESS IN LOS ANGELES COUNTY?
SHM Converge 2025
Background: People experiencing homelessness (PEH) face barriers to accessing regular ambulatory care, which increases their risk of having poorly controlled chronic medical conditions and contributes to high acute care utilization. The role of field-based homeless healthcare teams in improving hypertension and diabetes control and reducing acute care utilization (e.g., emergency department [ED] visits, inpatient hospitalizations) [...]
Plenary Presentations
Abstract Number: 0002
DO ENCOUNTERS WITH A FIELD-BASED HOMELESS HEALTHCARE TEAM IMPROVE CHRONIC DISEASE CONTROL AND REDUCE ACUTE CARE UTILIZATION FOR PEOPLE EXPERIENCING HOMELESSNESS IN LOS ANGELES COUNTY?
SHM Converge 2025
Background: People experiencing homelessness (PEH) face barriers to accessing regular ambulatory care, which increases their risk of having poorly controlled chronic medical conditions and contributes to high acute care utilization. The role of field-based homeless healthcare teams in improving hypertension and diabetes control and reducing acute care utilization (e.g., emergency department [ED] visits, inpatient hospitalizations) [...]
Abstract Number: 0108
UNVEILING HYPOGLYCEMIA IN THE HOSPITAL: EXPLORING RISKS AND OUTCOMES OF HYPOGLYCEMIA AMONG 54,500+ HOSPITALIZED PATIENTS
SHM Converge 2025
Background: Inpatient hypoglycemia (HG) is common and often avoidable, associated with poor outcomes and high costs, and its prevention reflects hospital performance. We investigated its risk factors and impact on mortality, hospital length of stay (LOS), charges, and readmissions. We defined HG as glucose ≤40 mg/dl (severe), >40 – ≤70 mg/dl (moderate), or euglycemia >70 [...]
Abstract Number: 0116
MACHINE LEARNING-BASED PREDICTION OF HYPERGLYCEMIA IN HOSPITALIZED PATIENTS WITH DIABETES: AN EIGHT-YEAR STUDY OF EHR RECORDS ACROSS 19 HOSPITAL SITES
SHM Converge 2025
Background: Individuals with diabetes have a 2–3 fold higher hospitalization rate compared to those without diabetes. During hospitalization, individuals with diabetes frequently experience elevated blood glucose levels (or, hyperglycemia) (1), which can increase monitoring by nurses and hospitalists, length of stay, and healthcare cost. Therefore, we sought to develop a machine learning model to predict [...]
Abstract Number: 0139
EXPLAINABLE AI-EMPOWERED ANALYSIS OF DIVERSE INFECTION OUTCOMES AMONG PEOPLE WITH TYPE 1, TYPE 2, AND PREDIABETES
SHM Converge 2025
Background: Certain infections, such as mucormycosis and Fournier gangrene, were initially linked to diabetes via case reports (1). Subsequent studies using electronic health record (EHR) data and frequentist methods have provided new insights, including increased mortality among patients with diabetes and infections (2). However, infection risk among patients with type 1 diabetes (T1D), type 2 [...]
Abstract Number: 0145
A RETROSPECTIVE ANALYSIS OF THE IMPACT OF OBESITY AND DIABETES ON STROKE SEVERITY
SHM Converge 2025
Background: Stroke is a leading cause of long-term disability in the U.S., with many being attributable to lifestyle-related risk factors. Obesity and diabetes, in particular, have been shown to significantly increase the risk of having a stroke. However, the connection between these conditions and the severity of stroke is not as well understood. Some research [...]
Abstract Number: 0152
POPULATION EFFECTS OF IMPLEMENTATION OF SIPPS PRACTICE FRAMEWORKS ON BLOOD PRESSURE, A1C, AND EMERGENT HEALTHCARE RESOURCE UTILIZATION
SHM Converge 2025
Background: Hypertension and diabetes are common comorbidities frequently managed by primary care physicians. Poorly controlled cases of these conditions can lead to increased healthcare resource utilization. We conducted a prospective pilot study involving high-risk patients with hypertension and diabetes to evaluate whether a multidisciplinary team approach could lead to improved clinical outcomes and reduced healthcare [...]
Abstract Number: 0155
EPIDEMIOLOGICAL TRENDS AND DISPARITIES IN RENAL COMPLICATIONS AMONG ADULTS WITH DIABETES MELLITUS IN THE UNITED STATES: A CDC WONDER DATABASE ANALYSIS (1999-2020)
SHM Converge 2025
Background: Renal complications of diabetes mellitus pose a significant public health challenge, contributing to substantial morbidity and mortality globally. Understanding temporal trends and regional disparities in mortality related to diabetic nephropathy is crucial for guiding targeted interventions and policy decisions. Our study aims to analyze the trends and regional differences in mortality related to renal [...]
Abstract Number: 0164
PREDICTING HYPOGLYCEMIA USING MACHINE LEARNING IN HOSPITALIZED PATIENTS WITH DIABETES: A LARGE-SCALE STUDY ACROSS 19 HOSPITALS (2017-2024)
SHM Converge 2025
Background: Hypoglycemia occurs frequently in hospitalized adults with diabetes, and is associated with adverse clinical events, increased use of rapid response teams, prolonged hospital length of stay, and higher healthcare costs (1). Identifying risk of hypoglycemia in hospitalized adults is vital to preventing adverse events and maximizing patient safety. However, there are no tools/models to [...]
Abstract Number: 0243
MINIMIZING TIME TO GLARGINE ADMINISTRATION DURING TRANSITION FROM IV INSULIN IN ICU PATIENTS QUALITY IMPROVEMENT STUDY
SHM Converge 2025
Background: Glycemic control is crucial in the intensive care setting to reduce morbidity and adverse outcomes.1 The debate over methods for achieving this control highlights the risks of hypoglycemia and unclear management parameters.2 Continuous glucose monitoring software, like Glucommander, helps manage blood sugar safely and prevents hypoglycemic events.3,4 Generally, maintaining euglycemia with insulin improves outcomes [...]
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