Unburdening Patients and Clinicians Through Automation and Artificial Intelligence: Informatics Strategies for Reducing Administrative Burden
Abstract
Healthcare delivery systems face mounting administrative complexity that contributes to clinician burnout, medical errors, and reduced access to care for patients. This editorial explores how automation and artificial intelligence (AI) can address key operational inefficiencies-specifically in prior authorization, quality metric reporting, and clinical documentation-by leveraging informatics-driven solutions. We examine the current landscape, quantify the impact of administrative burden, and propose informatics strategies to realign healthcare delivery around patient-centered, efficient care.
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