Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System

Abstract

This study aims to design a set of the visual artificial intelligence system based on medical information mining for hospital emergency care management. A visual artificial intelligence emergency first aid nursing management system is designed by analyzing the needs of the emergency first aid nursing management system. The results show that system personnel allocation, comparative management, record management, query management analysis, basic setup analysis, nursing management basis, and nonfunctional requirements all need to be optimized for the emergency first aid management system. In this study, the comparative management module, log management module, and the query management module are designed, and the emergency first aid management system of different APP terminal functions in different modules is described in detail. The nursing document query business is tested, and the corresponding time of query of nursing assessment sheet, nurse shift record, nurse record, and physical sign observation sheet is 375.50 ms, 351.48 ms, 336.36 ms, and 245.57 ms, respectively. It shows that the visual artificial intelligence emergency nursing management system based on medical information mining can provide convenience for clinical work to a large extent and has potential application value in hospital emergency nursing work.

The Impact and Issues of Artificial Intelligence in Nursing Science and Healthcare Settings

“…As electronic medical records (EMRs) are widely adopted and medical devices and instruments are digitized, the information capacity of hospital databases continues to expand ( Dong et al, 2021 ). Therefore, there is a need for AI to organize existing EMRs so that they are easily accessible to relevant medical personnel and can help provide important patient-related information.…”

Inteligencia artificial en el campo de la enfermería. Implicaciones en la asistencia, administración y educación

“…En la medida que los robots aprendan a realizar funciones de enfermería, como el apoyo a la deambulación, la medición de signos vitales, la administración de medicamentos y los protocolos de enfermedades infecciosas, el papel de las enfermeras en la prestación de cuidados cambiará. (7) La creación e implementación de un módulo de gestión de primeros auxilios, la aplicación para administrar el suministro de líquidos y los servicios relacionados con la infusión para lograr una enfermería de emergencia rápida, (13) el Robot de Enfermería de Transferencia y Transporte para ayudar en la movilización del paciente, (14) son ejemplos del uso de la IA en las actividades que realizan las enfermeras.…”

Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping

“…For example, recently, a nucleic acid sampling robot was born at the Shanghai Institute of AI. If this technology is applied, it can greatly alleviate the current shortage of nurses, at the same time, AI also provides great help to clinical nurses in rostering or scheduling, patient management, and so on (Burke et al, 2004;Dong et al, 2021).…”

“…For example, recently, a nucleic acid sampling robot was born at the Shanghai Institute of AI. If this technology is applied, it can greatly alleviate the current shortage of nurses, at the same time, AI also provides great help to clinical nurses in rostering or scheduling, patient management, and so on (Burke et al, 2004; Dong et al, 2021). On the other hand, nurses are the group of health‐care professionals who generate the most data in the medical system and have the most contact time with patients (Harmon et al, 2021; Ronquillo et al, 2021).…”