Artificial Intelligence-Enabled Opportunities to Reduce Administrative Bloat in Gastroenterology Practices: Scoping Review.

BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expenditures. We performed a scoping review of AI-enabled administrative products in gastroenterology and hepatology, including widely deployed commercial platforms, examining administrative functions, validation practices, and alignment with high-burden workflows. METHODS: A two-component search strategy combining systematic literature search and a targeted environmental scan of commercial platforms identified 34 discrete AI products and 2 narrative reviews. Each product was assessed using the four-domain FAIR-AI rubric (Fairness, Accountability, Interpretability, Reliability). Validation was categorized as unvalidated, internally validated, vendor-sponsored, or externally validated. RESULTS: Products spanned eight administrative function domains including billing and coding, clinical documentation, patient engagement, and prior authorization. 26 of 34 were general-platform products, and only 8 were GI-specific, of which 7 remained pre-commercialized. 4 of 34 products reported no validation data, 2 relied on vendor-sponsored evidence, and 4 were externally validated. FAIR-AI scores were lowest for Fairness (1.59/5, SD 0.66), followed by Reliability (2.57/5, SD 0.97), Interpretability (2.72/5, SD 1.01), and Accountability (2.78/5, SD 0.64). CONCLUSIONS: Commercialized products were broadly designed, least validated, and scored lowest on FAIR-AI metrics, particularly Fairness, while GI-specific products with greater methodological rigor remained largely pre-commercialized. Commercial general-platform products lacked GI-specific validation, and high-burden specialty workflows including hepatology care coordination and transplant documentation remained comparatively underserved. Realizing the potential of administrative AI in gastroenterology requires moving toward empirically validated, specialty-specific, and equitable solutions, where success is measured by reduced administrative burden and time returned to patient care, not by revenue generation.