Overcoming the Cognitive and Sensory Deficit in Clinical Decision-Making:

Abstract

Overcoming the Cognitive and Sensory Deficit in Clinical Decision-Making: From Snapshot Medicine to Longitudinal Physical Artificial Intelligence Overview: This technical report proposes a new architectural framework for healthcare delivery: Physical Artificial Intelligence. It argues that the primary cause of diagnostic error and clinician burnout is a structural "sensory deficit" in modern digital health. While current systems (EHRs and LLMs) process text and retrospective notes, they remain detached from real-time physiological "ground truth." Key Concepts: Snapshot vs. Movie: A critique of episodic medicine and the move toward longitudinal data streams. The Sensory Deficit: Why "disembodied" AI (text-only) fails in high-stakes clinical environments. Edge AI Clinical Terminals: The role of autonomous hardware (ZoyeMed) in capturing objective physiological data without human intervention. LMM (Longitudinal Multimodal Models): Shifting from static analysis to time-aware clinical intelligence. Validation: The framework is derived from 15 years of iterative implementation across rural and digital hospital systems (2010–2025), validated by international audits including KPMG, Frost & Sullivan, and the UN HIEx. Target Audience: Health System Architects, Clinical Leaders, Policy Makers, and AI Researchers looking for a hardware-integrated approach to healthcare transformation.

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