This editorial examines the potential of artificial intelligence (AI) driven informatics in minimizing administrative challenges within the healthcare system. Specifically, focusing on prior authorization, quality metric reporting, and clinical documentation in order to realign care around patients and clinicians. Keng et al. examine existing data from surveys, cost analyses, and prior studies. They describe the scale of administrative burden using metrics such as physician time, appeal rates, and financial costs, recommending informatics tools, including LLM-based chart review, ambient scribes, and automated coding systems, in order to improve workflow efficiency. Furthermore substantial harms from administrative challenges were documented: widespread clinician burnout, increased medical errors, delayed or abandoned care due to prior-authorization friction, high operational costs for payers and clinicians, and large time investments for documentation. The editorial argues that AI can meaningfully reduce this burden by automating data extraction for prior authorization, simplifying quality-metric collection, and offloading documentation tasks, potentially improving clinician productivity and satisfaction. The authors caution that automation must be thoughtfully designed, such as flagging complex cases for human review and avoiding naive digitization of broken workflows, in order to avoid new risks. The discussion emphasizes that technology should restore, but not replace, the patient and physician relationship by eliminating unnecessary administrative work.