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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 [...]

Abstract Number: 709

PATIENT SATISFACTION FOR PEDIATRIC HOSPITAL AT HOME: WHAT DO PATIENTS AND CAREGIVERS THINK? A FIRST LOOK.

SHM Converge 2026

Background: Pediatric Acute Hospital at Home (PAHaH) is an emerging care model and as programs begin to care for inpatient children at home, it is important to gauge caregiver’s opinion of the model. This insight will aid in refining processes, innovating equipment, and modifying service delivery to maximize care quality in a patient centric manner. [...]

Abstract Number: 710

THE GEM: “HOW TO” HOSPITAL MEDICINE AND EARLY EXPERIENCE BUILDING AN AI COMPANION

SHM Converge 2026

Background: Hospitalists operate in an ever more complex ecosystem of local policies, procedures, specialty services, facilities and governmental regulations. This knowledge base that a hospitalist needs to function effectively can include both informal know-how and formalized documentation that is spread across myriad resources (1). In many institutions, there is a gap in providing this know-how, [...]

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 [...]

Abstract Number: 712

THE AI RX FOR DOCUMENTATION DILEMMAS: A PRESCRIPTION TO UNLOCKING PRODUCTIVITY AND PROVIDER SATISFACTION

SHM Converge 2026

Background: Missed diagnoses in clinical documentation leads to increased coding queries for providers, skews crucial quality metrics such as mortality and readmission indices, and ultimately has significant financial and reputational impacts for hospitals. A substantial opportunity exists to improve documentation precision to accurately capture diagnoses that reflect severity of patient illness and complexity upon admission. [...]

Abstract Number: 713

A WIN-WIN-WIN: ED-HOSPITALIST ALERTS TO OPTIMIZE COMMUNICATION, EXPERIENCE, AND PATIENT FLOW

SHM Converge 2026

Background: The classic process for admitting patients from the Emergency Department (ED) to inpatient services relies on inefficient phone calls, often leading to communication breakdowns, delays, and inconsistent documentation of critical patient needs, such as telemetry requirements and appropriate specialty unit placement. At our large, community hospital, this negatively impacted patient safety, throughput, and provider [...]

Abstract Number: 714

PROTOTYPE DEVELOPMENT OF AN AI-INTEGRATED PATIENT ASSIGNMENT WORKFLOW

SHM Converge 2026

Background: Manual patient-to-team assignment for Hospital Medicine (HM) at a tertiary care academic center is performed by nocturnists at the end of their shift, introducing risk for misassignment and contributing to burnout. Evidence shows standardized workflows can reduce errors by up to 25% with extrapolation to reduce medical errors. Purpose: To design and validate a [...]

Abstract Number: 715

DYNAMIC AUTO-DOCUMENTATION TO ACCURATELY CAPTURE PATIENT COMPLEXITY AND MORTALITY RISK

SHM Converge 2026

Background: Accurate capture of patient severity of illness (SOI) and risk of mortality (ROM) is essential for institutional quality reporting, financial integrity, and performance on key metrics such as the Vizient Observed-to-Expected (O:E) mortality ratio. Traditional documentation relies heavily on manual provider entry and downstream Clinical Documentation Improvement (CDI) queries, creating delays, increasing administrative burden, [...]

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