Global Health & Medicine 2026;8(3):222-226.

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations

Wang YH, Yue X, Zheng RS, Chen L, Wang Y, Qiang WM

Abstract

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitation, and fragmented post-discharge care. This correspondence presents a multidisciplinary physician–nurse co-led, artificial intelligence (AI)-assisted full-course case management model grounded in just-in-time adaptive intervention (JITAI) theory. The model spans four phases—peri-admission, perioperative, post-discharge home-based care, and long-term follow-up—supported by an intelligent platform enabling automated decision triggering, symptom monitoring, tailored health education, and intervention matching. A pilot study with 25 patients was conducted from March to May 2026 at a tertiary cancer hospital in Tianjin, China. Preliminary results revealed improvements in antiviral medication adherence (80–96%), targeted therapy adherence (96–100%), and satisfaction (99.8%), with reductions in missed follow-ups and symptom reporting delays. Multicenter controlled studies need to be conducted to evaluate this model's effectiveness, cost-effectiveness, and long-term sustainability.

KEYWORDS: artificial intelligence, case management, just-in-time adaptive intervention, primary liver cancer, full-course management

DOI: 10.35772/ghm.2026.01069

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