Evidence record 17073 · automatically gathered

From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems

Hospitals are rapidly adopting artificial intelligence for triage, imaging, scheduling etc., yet most deployments remain isolated point solutions locked inside departmental silos, resulting in duplicated effort, hidden risks, and unrealized enterprise value. Despite explosive growth of AI in healthcare market and accelerating investment, an estimated 70-80% of healthcare AI pilots fail to scale, largely due to governance gaps, fragmented data, and missing integration blueprints. This research pr

Record details

Published: 6 August 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare · Agents & autonomy · Finance, VC & PE
Retrieved: 7 August 2026

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ethics.ai (6 August 2026), “From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems,” evidence record 17073, https://ethics.ai/record/17073 (originally published by arXiv).

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