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Meetings Archive For SHM Converge 2025..
Abstract Number: 0279
SHM Converge 2025
Background: In the U.S., hospitalizations related to Congestive Heart Failure (CHF) are amongst the most frequent and costly, yet a unified approach toward improving outcomes remains elusive. In 2022, the AHA/ACC/HFSA released updated guidelines for the management of heart failure. Recommendations include prescribing four classes of medications for eligible patients, known as guideline-directed medical therapy [...]
Abstract Number: 0280
HARNESSING MACHINE LEARNING MODELS TO PREDICT AND PREVENT HOSPITAL READMISSIONS: A SYSTEMATIC REVIEW
SHM Converge 2025
Background: Hospital readmission rates are a critical measure of healthcare quality and patient outcomes. High readmission rates can indicate poor patient management and lead to increased healthcare costs. Innovations in artificial Intelligence (AI) have the potential to improve patient care through clinical decision support tools, generative clinical care pathways, and predictive analytics creating the potential [...]
Abstract Number: 0281
SHM Converge 2025
Background: Hospital-at-home care is a viable alternative to traditional inpatient care for older patients, allowing them to remain in the comfort of their own home while receiving hospital level care. The program employ a wide array of wearable smart health device (SHD) to track patient’s vital sign and other health metrics, enabling clinicians to intervene [...]
Abstract Number: 0282
SHM Converge 2025
Background: Functional status plays a major role in determining discharge disposition in hospitalized adults such as need for nursing care facility vs home. (1-4) No specific diagnosis codes exist to capture functional status, limiting our ability to study its impact further. Some clinicians document functional status components in their clinical notes. Large language models (LLMs) [...]
Abstract Number: 0283
SHM Converge 2025
Background: Documentation burden has been on the rise since the introduction of electronic health records (EHRs). Artificial Intelligence (AI) scribes use ambient documentation technology with the potential to mitigate documentation burden. Few studies have investigated the implications of AI scribes on hospital medicine providers’ workflow and patient interactions. Methods: We conducted a stepped-wedge trial at [...]
Abstract Number: 0284
SHM Converge 2025
Background: Hospitals across the nation are gripped with capacity constraints, and some hospitals have indicated they are operating at “Capacity Disaster” status. It is critical to identify solutions that are beneficial to both hospitals and patients. Destino (2019) indicated that early discharges help decrease emergency department and post-anesthesia care unit hospital bed times. The Reverse [...]
Abstract Number: 0285
SHM Converge 2025
Background: Handoffs are critical for conveying essential information about the patient’s care, yet they often lack structure and completeness, which increases the risk of adverse events and medical errors. Patients with LEP are especially vulnerable due to communication barriers, which can exacerbate disparities in care quality and outcomes. Despite the rising number of patients with [...]
Abstract Number: 0286
SHM Converge 2025
Background: Automated bidirectional text messaging has emerged as a compelling strategy to facilitate communication between patients and the health system after hospital discharge. Understanding the unique ways in which patients interact with these messaging programs can inform future efforts to tailor their design to individual patient styles and needs. The aim of this study was [...]
Abstract Number: 0287
SHM Converge 2025
Background: Hospital readmission is detrimental and is often a consequence of patient vulnerabilities, social factors and inadequate health system safeguards. The current 30-day readmission rate for Internal Medicine patients at the University Hospital is 13.43%. Historically, little has been known about patients’ perspective on factors that contributed to their readmission. Previous studies have shown that [...]
Abstract Number: 0288
SHM Converge 2025
Background: Discharge planning is an important component of safe and efficient hospital care. While standardization of these practices can be useful, adopting general approaches may overlook important nuance for unique patient populations. In particular, we are interested in how patients who live in a baseline unsafe situation conceptualize a “safe” discharge plan. Thus, our study [...]