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Patient comprehension of discharge instructions remains a persistent determinant of post-hospital outcomes. Yet, it continues to be treated as a subjective clinical impression rather than a measurable system-level construct. This conceptual systems article reframes patient comprehension as a quantifiable entity amenable to orchestration within existing artificial-intelligence healthcare infrastructures. Drawing exclusively on peer-reviewed architectures for clinical decision support, electronic health record intelligence, interoperability frameworks, and AI governance published, we synthesise the technological and organisational prerequisites for real-time measurement of communication effectiveness at the point of discharge. We introduce the patient comprehension orchestration infrastructure (PCOI), a uniquely layered, closed-loop analytics lifecycle that integrates data harmonisation, comprehension analytics, decision-support pipelines, ethical governance, and adaptive feedback topology. Three interpretive formulas operationalise risk propagation, decision confidence, and governance load, enabling theoretical deployment without empirical claims. The proposed infrastructure advances healthcare analytics from reactive documentation to proactive comprehension assurance, aligning AI system design with patient-centred safety imperatives.