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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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