Overview
To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care. This study aims to develop and test a programming framework for an AI-assisted nursing care robot ("E-Nursing Assistant") to reduce nurses' workload and improve the efficiency and quality of care.
Description
In response to the challenges of workforce shortages and heavy workloads in the nursing field, clinical nursing practices are gradually integrating technological assistance, including the use of mobile phones to scan QR codes for viewing instructional videos and the introduction of robots with Artificial Intelligence (AI) technology for ward navigation. However, there are still several limitations to these technological applications in the nursing care process. Therefore, this study aims to develop and test the programming framework for an AI-assisted nursing care robot ("E-Nursing Assistant"). The goal is to reduce the workload of nursing staff and significantly improve the efficiency and quality of nursing work. The "E-Nursing Assistant" will be implemented in the ward to measure the nursing staff's workload, the time and frequency spent on specific nursing tasks, and to conduct interviews to gather their feedback.
Eligibility
- Nurse
Inclusion Criteria:
- Aged 18 years or older.
- Currently employed as a ward nurse.
Exclusion Criteria:
- Nurses who do not actively participate in ward care, such as nursing unit supervisors. 2. Patients/Caregivers
Inclusion Criteria:
- Aged 18 years or older.
- Willing to accept the "E-Nursing Assistant" intervention for care tasks that do not involve patient safety.
Exclusion Criteria:
- Patients or caregivers who are unconscious or unable to communicate verbally or in writing to complete the research interview.