AI-Integrated Hospital Management and Support System for Patients with Neurocognitive Impairment
This novel idea introduces an AI-driven Hospital Management and Assistive System designed to enhance both administrative efficiency and patient care, particularly for individuals affected by Neurocognitive Impairment (NCI), such as Alzheimer’s disease and dementia. NCI leads to cognitive decline, affecting memory, reasoning, problem-solving, and language often requiring specialized support. The proposed system integrates advanced artificial intelligence (AI) and image processing to address the dual challenges of hospital management and personalized patient assistance. The AI-Enhanced Hospital Management System optimizes patient scheduling, electronic health records, and real-time patient tracking, streamlining operations and reducing administrative burdens. Simultaneously, the AI-powered Assistive Tool provides personalized cognitive support for NCI patients by recognizing familiar faces, objects, and environments, offering contextual reminders, and assisting with daily routines through visual cues and voice commands. The system adapts over time, enhancing the user experience and promoting greater independence. By incorporating automated diagnosis support, intelligent alert systems, and AI-driven decision-making, this innovative solution reduces caregiver workload and improves patient outcomes. Additionally, Natural language Processing (NLP) ensures seamless communication between patients and healthcare providers. The proposed AI-driven approach demonstrates significant potential in transforming hospital management while providing personalized, real-time cognitive assistance for individuals with Neurocognitive disorders.
Authors
- D. Deivasigamani
- Rajan Kumar (ORCID: https://orcid.org/0000-0002-8635-9561)
- S. Harikrishnan
- Mohamed Jasil
- Antony Andrin Kaduthose
Institutions
- Hindustan Institute of Technology and Science (IN)
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1109/iciccs65191.2025.10985310
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65