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Search2020-05-20T12:01:36-05:00
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Oral
Abstract Number: 8
COMPARATIVE EVALUATION OF BINARY CLASSIFICATION AND SURVIVAL ANALYSIS APPROACHES FOR PREDICTING HOSPITAL READMISSIONS: A US MULTISITE HEALTH SYSTEM EVALUATION
SHM Converge 2026
Background: In the US, 30-day hospital readmissions remain a significant challenge, impacting patient outcomes and healthcare costs. While conventional binary classification models predict whether readmission occurs within 30 days, survival models can capture time-to-readmission dynamics and provide time-dependent risk estimates. We compared these approaches to characterize readmission patterns and guide tailored interventions. Methods: This was [...]
Oral
Abstract Number: 9
LARGE LANGUAGE MODELS IMPROVE READABILITY AND QUALITY OF PATIENT-FACING AFTER-VISIT SUMMARIES WITHOUT INCREASING RISK OF HARM: A BLINDED COMPARATIVE STUDY
SHM Converge 2026
Background: Patient After-Visit Summaries (AVSs) are critical to ensuring safe and effective hospital discharge. However, these documents are often written at reading levels that exceed many patients’ health literacy, leading to misunderstanding of care instructions and preventable post-discharge complications. Hospitalists face increasing documentation burden and limited time for discharge education. Large language models (LLMs) may [...]
Oral
Abstract Number: 14
FROM PROTOCOL TO PRECISION: EMPOWERING TEAMS TO OPTIMIZE SEPSIS FLUID RESUSCITATION IN A COMMUNITY HOSPITAL
SHM Converge 2026
Background: Despite decades of standardized sepsis protocols, fluid resuscitation practices remain variable across hospital settings. At our community hospital, compliance with the 30 mL/kg fluid requirement for severe sepsis and septic shock patients lagged behind national benchmarks, driven by inconsistent documentation, variable order set use, and lack of confidence in assessing fluid responsiveness. Standardized bundles [...]
Oral
Abstract Number: 15
FROM SUMMARIZATION TO STRUCTURED CONTROL: REAL-WORLD IMPLEMENTATION AND EVOLUTION OF AN EHR-NATIVE GENERATIVE AI ASSISTANT
SHM Converge 2026
Background: Clinical documentation is a major contributor to hospitalist burnout due to the time spent on note writing and chart review. Generative artificial intelligence (AI) may help reduce this burden, yet most tools offer limited control over source information or output structure. Additionally, little is known about how clinicians actually use these tools in practice [...]
Finalist
Abstract Number: 37
BRIDGING THE DIGITAL IMPLEMENTATION GAP: OPERATIONALIZING AGILE INNOVATION AND REDUCING CLINICIAN BURDEN VIA AN EHR-EMBEDDED APP STORE AT AN ACADEMIC MEDICAL CENTER
SHM Converge 2026
Background: The rigid architecture of electronic health records (EHRs) is inherently at odds with the dynamic environment of clinical practice, creating a widening gap between EHR workflows and frontline needs.(1) Although digital health solutions are available from external vendors, their implementation is often prolonged by legal and governance requirements, as well as architectural integration challenges, [...]
Finalist
Abstract Number: 38
AN LLM PIPELINE TO ELEVATE THE CLINICIAN VOICE: LESSONS FROM AN INPATIENT AI CHART SUMMARIZATION PILOT
SHM Converge 2026
Background: Health systems are rapidly piloting Large Language Model (LLM)-enabled tools within the Electronic Health Record (EHR) [1–4], but there is limited guidance on how to evaluate these tools during early deployment [5]. Qualitative clinician feedback is essential for understanding real-world usability, identifying safety concerns, and guiding iterative improvement of novel technologies [6]. Traditional qualitative [...]
Chapter Winner
Abstract Number: 711
FROM BED TO BETTER: DRIVING INPATIENT MOBILITY WITH DIGITAL ENGAGEMENT
SHM Converge 2026
Background: Increased mobility is a well-established predictor of health and recovery outcomes; however, decreased mobility continues to be a challenge in the hospital setting. Technology driven platforms promoting activity and mobility are increasingly being integrated into patient care models; however, evidence remains limited regarding patient engagement with such platforms and their ability to meaningfully increase [...]
Oral
Abstract Number: 8
COMPARATIVE EVALUATION OF BINARY CLASSIFICATION AND SURVIVAL ANALYSIS APPROACHES FOR PREDICTING HOSPITAL READMISSIONS: A US MULTISITE HEALTH SYSTEM EVALUATION
SHM Converge 2026
Background: In the US, 30-day hospital readmissions remain a significant challenge, impacting patient outcomes and healthcare costs. While conventional binary classification models predict whether readmission occurs within 30 days, survival models can capture time-to-readmission dynamics and provide time-dependent risk estimates. We compared these approaches to characterize readmission patterns and guide tailored interventions. Methods: This was [...]
Oral
Abstract Number: 9
LARGE LANGUAGE MODELS IMPROVE READABILITY AND QUALITY OF PATIENT-FACING AFTER-VISIT SUMMARIES WITHOUT INCREASING RISK OF HARM: A BLINDED COMPARATIVE STUDY
SHM Converge 2026
Background: Patient After-Visit Summaries (AVSs) are critical to ensuring safe and effective hospital discharge. However, these documents are often written at reading levels that exceed many patients’ health literacy, leading to misunderstanding of care instructions and preventable post-discharge complications. Hospitalists face increasing documentation burden and limited time for discharge education. Large language models (LLMs) may [...]
Oral
Abstract Number: 14
FROM PROTOCOL TO PRECISION: EMPOWERING TEAMS TO OPTIMIZE SEPSIS FLUID RESUSCITATION IN A COMMUNITY HOSPITAL
SHM Converge 2026
Background: Despite decades of standardized sepsis protocols, fluid resuscitation practices remain variable across hospital settings. At our community hospital, compliance with the 30 mL/kg fluid requirement for severe sepsis and septic shock patients lagged behind national benchmarks, driven by inconsistent documentation, variable order set use, and lack of confidence in assessing fluid responsiveness. Standardized bundles [...]
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