International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Artificial Intelligence–Enabled Intensive Care Unit (AI‑ICU): Integrated Framework for Real‑Time Decision Support, Automated Clinical Handoffs, and Intelligent Wound Monitoring

Author(s) Mr. Amit Kumar Singh
Country India
Abstract The Intensive Care Unit (ICU) is a highly complex, data‑intensive environment where critically ill patients require continuous monitoring, rapid decision‑making, and seamless communication among care teams. Clinical handoff failures and delayed wound assessment remain major contributors to adverse events, prolonged length of stay, and increased mortality. This paper presents an integrated Artificial Intelligence–enabled ICU (AI‑ICU) framework that unifies real‑time patient monitoring, automated clinical handoffs, and intelligent wound monitoring into a single decision‑support ecosystem. The proposed system leverages multimodal data from bedside monitors, electronic health records (EHRs), medical devices, and wound images, processed using time‑series deep learning, computer vision, and explainable AI techniques. The framework generates early deterioration alerts, predictive risk scores, structured AI‑assisted handoff summaries, and objective wound healing assessments. Designed with a human‑in‑the‑loop approach, the AI‑ICU system enhances patient safety, reduces clinician cognitive load, and improves continuity of care while maintaining transparency, regulatory compliance, and ethical safeguards.
Keywords Artificial Intelligence, Intensive Care Unit, Clinical Handoffs, Wound Monitoring, Clinical Decision Support, Explainable AI
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63700
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E-ISSN 2582-2160
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