aceImplementation of an AI-driven hierarchical medical system for chronic disease management: ethical framework, resource optimization, and effectiveness evaluation
Objective The aim of this study was to assess the integration pathways and ethical frameworks associated with the use of artificial intelligence (AI) within hierarchical medical systems for chronic disease management, and quantitatively assess its impact on healthcare resource allocation efficiency and treatment outcomes. Methods A four-dimensional closed-loop model comprising data collection, decision intervention, resource scheduling, and outcome feedback was used to structure the system. This analysis incorpo…
AI-enabled hierarchical medical system increased hypertension control target achievement from 68% to 82% and achieved health data accuracy exceeding 95% for chronic disease patients.
Effectiveness observed only under ethical compliance conditions and based on 12,468 patients across three provinces, limiting generalizability beyond that governance context and population.
Evidence
- Peer-reviewedFrontiers in Public Health2026-02-17
- Peer-reviewedActa Balneologica2026-08-31
- Peer-reviewedFrontiers in Public Health2025-11-20
- Peer-reviewedJournal of Evidence-Based Medicine2023-09-01
- Peer-reviewedInternational Journal of Medical Informatics2026-07-06
How should this claim be treated?
Truvace Impact Record TRV-2026-0328, v5: “Implementation of an AI-driven hierarchical medical system for chronic disease management: ethical framework, resource optimization, and effectiveness evaluation.” Truvace, 2026-10-05. /record/TRV-2026-0328 (accessed at citation time). sha256 9566f609222e91d0…
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