AI-Assisted Smart Interactive Healthcare Robot
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Intervention Group.
- Who it may be relevant to
- Registry conditions: Nursing, Artificial Intelligence (AI), Deep Learning, Mechine Learning. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Taiwan
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Development and Testing of an AI-Assisted Smart Interactive Healthcare Robot Program
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.
Detailed 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.
Interventions
- Other Intervention Group
The functions performed by the robot include guiding patients through unit-specific locations for environmental orientation and equipment usage instructions, playing educational videos related to care, reminding patients of important examination precautions, providing health education on specimen collection, and delivering responses through an expert-developed medical Q\&A system.
Primary outcome measures
- Workload-related stress in nursing staff [Time frame: It will be measured pre-intervention and immediately after the intervention.]
Secondary outcome measures (2)
- System Usability [Time frame: It will be measured immediately after the intervention.]
- Number of patients served and time spent on various nursing tasks [Time frame: It will be measured pre-intervention and during the intervention]
Eligibility criteria
- 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.
- 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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Other
Study locations
Taiwan · 1 center
- National Taiwan University Hospital — Taipei
Identifiers
NCT: NCT06972043 · 202410046RINE