Healthcare systems are commonly evaluated through access, safety, effectiveness, efficiency, and patient-centredness, yet these domains do not fully capture whether care environments can recognize and respond to the psychological conditions that shape participation in care. Emotional needs, trust, perceived legitimacy, health literacy, social resources, organizational culture, digital accessibility, and prior experiences influence how patients interpret options and whether opportunities to participate are practically usable. This conceptual article develops the idea of a psychologically responsive healthcare system as a system-level capacity rather than an individual communication technique or patient attribute. It integrates behavioral science, relational care, equity, human-centered service design, workforce conditions, digital health, and learning-system principles while maintaining distinctions among patient experience, psychological process, observable behavior, care-process outcomes, and clinical outcomes. The proposed account treats engagement capacity as relational and context-dependent, recognizes organizational conditions as constraints on frontline responsiveness, and positions digital technologies as sociotechnical environments rather than neutral delivery channels. It further argues that psychological responsiveness requires iterative learning because patient needs, resources, illness states, technologies, and care pathways change over time. The resulting framework is explicitly theoretical: available evidence supports many constituent relationships, but does not establish that their integration into a single architecture will necessarily improve clinical outcomes. The model therefore provides design principles, boundaries, and testable domains for future implementation and evaluation rather than claiming validated system effectiveness.