AI-Powered Virtual Nursing Assistants: Enhancing Privacy, Engagement, and Clinical Support

A.Asrin Mahmootha; B.Aysha Banu; S.Sajithabanu; Osama Rahmani; Abdul Ajees; Pon Arun M; Ganesh Kumar M

AI-Powered Virtual Nursing Assistants: Enhancing Privacy, Engagement, and Clinical Support

Authors: A.Asrin Mahmootha, B.Aysha Banu, S.Sajithabanu, Osama Rahmani, Abdul Ajees, Pon Arun M, Ganesh Kumar M

Unique Paper ID: 178434
Volume: 11
Issue: 12
PageNo: 4224-4230

Keywords: Virtual Nursing Assistant Medical Dashboard Health Data Analytics Care Activity Breakdown 24/7 Support System Digital Health Record Healthcare Workflow Automation Remote Healthcare Assistance

Abstract:
This is a Virtual Nursing Assistant Dashboard developed to support healthcare professionals by streamlining patient care tasks in a digital way. The system is designed with a clear and simple layout to make daily activities like patient tracking, reminders, and health monitoring easier and more efficient. The main dashboard provides a quick overview of essential elements such as patient engagement, upcoming appointments, and pending reminders. This allows nursing staff to stay organized and react quickly when needed. A messaging feature is included to keep communication active between staff and patients within the platform. A dedicated patient monitoring section helps track patient conditions, vital signs, and overall status. Each patient record can be accessed for detailed information, and actions can be taken from the same view. This supports better care decisions and quick intervention if required. The system also includes filters and categorization options under the patient’s tab, such as stable, monitoring, and needs attention. These help staff prioritize tasks and manage multiple patients with ease. Updates to patient status can be visualized for better awareness and care planning. An important part of this system is the Analytics module, which offers health trend tracking and visual reports. It shows trends like blood pressure, glucose levels, and medication adherence over a selected time range. These visualizations support deeper understanding of patient health progress and behavior patterns. Care activity tracking is another feature which breaks down tasks such as medication, vitals check, nutrition, and other caregiving actions. This helps in managing nurse workloads and understanding which areas are receiving more attention. The platform also includes health insights based on collected data. These insights help highlight patterns or changes in patient behavior and treatment response. This enables informed decisions and better management of chronic conditions or long-term care plans. The overall design of this dashboard ensures that virtual nursing assistants can offer 24/7 support, help with reminders, and provide educational feedback to both patients and healthcare staff. It focuses on enhancing care quality, improving engagement, and supporting medical staff with timely alerts and organized data. In short, the workflow follows a smart assistant model where the system keeps track of patient updates, reminds important actions, visualizes trends, and makes sure nothing is missed — all while being easy to use and ready for further expansion.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 4224-4230

AI-Powered Virtual Nursing Assistants: Enhancing Privacy, Engagement, and Clinical Support

Available:https://ijirt.org/Article?manuscript=178434

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