No framework addresses human
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
No framework addresses human–AI–architecture collaboration in adaptive healthcare environments: how clinicians, patients, and autonomous agents should jointly adapt to and control dynamic physical spaces, or how trust and explainability [3,
Evidence profile
Stated in the synthesized section of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Agentic AI–Driven Disease Prediction for Smart Hospital Systems (2026) · International Journal of Latest Technology in Engineering Management & Applied Science · doi
No framework explicitly integrates adaptive AI agent architectures with healthcare facility design and spatial adaptation. Papers [1,3,5] describe agentic AI systems for clinical workflows and real-time monitoring, but none address how autonomous agents should inform or adapt physical healthcare environments (layout, resource allocation, environmental controls) dynamically.
generalstated in synthesizedevidence 5/5Keywords: framework explicitly integrates adaptive agent architectures healthcare facility - Edge-Heal: An AI-Driven Healthcare system with Real-Time IoT Vitals Monitoring and Geospatial Triage (2026) · International Journal of Creative and Open Research in Engineering and Management · doi
Adaptive healthcare environments require real-time integration of multi-modal patient data with spatial and resource constraints, yet no paper addresses how to jointly optimize clinical decision-making (from agentic AI) with architectural adaptation (space reconfiguration, equipment positioning, environmental parameters) under dynamic patient loads.
generalstated in synthesizedevidence 5/5Keywords: adaptive healthcare environments require real-time integration multi-modal patient - Artificial intelligence agents and agentic AI systems: Architectures, capabilities, applications, challenges, and future directions (2026) · International Journal of Applied Resilience and Sustainability · doi
No framework addresses human–AI–architecture collaboration in adaptive healthcare environments: how clinicians, patients, and autonomous agents should jointly adapt to and control dynamic physical spaces, or how trust and explainability [3,7] extend to architectural adaptation decisions.
generalstated in synthesizedevidence 5/5Keywords: framework addresses human architecture collaboration adaptive healthcare environments
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