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Search Results for Artificial Intelligence
Abstract Number: 0270
ACCURACY OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN CARDIOVASCULAR DISEASES: A SYSTEMATIC REVIEW
SHM Converge 2025
Background: According to the Global Burden of Disease (GBD) study, 523 million (95% UI: 497 to 550 million) people worldwide had cardiovascular diseases (CVDs) in 2019, resulting in a significant increase in DALYs and years of life lost, mostly due to ischemic heart disease. There are various accurate and economical gold standard tests to identify [...]
Abstract Number: 0275
EVERYTHING, EVERYWHERE AND ALL AT ONCE: EXPLORING HOSPITALISTS’ EXPERIENCES USING ARTIFICAL INTELLIGENCE TOOLS FOR WORK
SHM Converge 2025
Background: Healthcare systems in the United States are navigating a complex landscape of financial strain, high clinician burnout, and workforce instability. The emergence of artificial intelligence (AI) tools in the clinical space offers the potential to improve clinical care and productivity but faces challenges like cost, clinician acceptance, and bias. Use of AI tools in [...]
Abstract Number: 0283
PILOT STUDY OF ARTIFICIAL INTELLIGENCE (AI) SCRIBES ON HOSPITALISTS’ TIME ALLOCATION AND PATIENT-PROVIDER INTERACTIONS
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: 0418
EFFECT OF AN AI-POWERED CLINICAL DOCUMENTATION TOOL ON RISK ADJUSTMENT INDICES
SHM Converge 2025
Background: Risk adjustment indices are frequently used for hospital billing and reimbursements in the United States. Severity of illness (SOI) and risk of mortality (ROM) are two risk adjustment indices used in determining the APR-DRG, a classification system commonly used by insurers to determine hospital reimbursements. Recently, many health systems implemented AI-powered clinical documentation assistants [...]
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