Human-AI Interaction for Digital Healthcare Systems

Human-AI Interaction for Digital Healthcare Systems defines Human‑AI Interaction (HAII) as the next evolutionary phase of Human‑Computer Interaction, addressing the shift from reactive systems to proactive AI agents. Using digital healthcare as its primary application domain, it introduces a rigorous, evidence‑based methodology for designing AI systems that are effective, safe, and trusted in real‑world clinical contexts. The text integrates the Sensing–Reasoning–Actuating (SRA) loop into human‑centered design, balancing system efficacy with environmental conformance. It provides structured guidance across the full lifecycle, analysis, planning, design, and evaluation,ensuring AI systems deliver measurable clinical and user value. Beyond theory, the book emphasizes empirical validation, detailing controlled experiments (e.g., RCTs) and real‑world performance analysis using Real‑World Data (RWD) and Real‑World Evidence (RWE), with explicit consideration of regulatory requirements for Software as a Medical Device (SaMD).