AI-Assisted Smart Interactive Healthcare Robot
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorNational Taiwan University Hospital
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Nurse
Aged 18 years or older.
Currently employed as a ward nurse.
Disqualifiers
Nurses who do not actively participate in ward care, such as nursing unit supervisors.
Patients/Caregivers
Aged 18 years or older.
Willing to accept the "E-Nursing Assistant" intervention for care tasks that do not involve patient safety.
Trial design
Design model
Single group
Treatments tested in this trial
Intervention Group
Other interventionThe 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.
Treatment groups
160 Participants
are divided into 1 treatment groupGroup A: Intervention GroupOther 1 intervention
Trial outcomes
Primary outcomes
1
Workload-related stress in nursing staff
The investigators utilized the Nurse Stress Checklist Chinese version translated by Taiwanese scholars in 1996. The scale consists of four factors: "Personal Response," "Work Concerns," "Job Competence," and "Inability to Complete Personal Tasks." It contains a total of 43 items, each rated on a 9-point Likert scale (0 = not at all, 1 = not close, 8 = very close), with higher scores indicating greater levels of work-related stress.
Time frame
It will be measured pre-intervention and immediately after the intervention.Secondary outcomes
1
System Usability
The investigators used the System Usability Scale (SUS) developed by scholar Brooke. The scale consists of 10 items, scored on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree). Odd-numbered items are positively worded, and the raw score for each item is subtracted by 1 to obtain the item score. Even-numbered items are reverse scored, with the item score calculated as 5 minus the raw score. The scores for all items are summed, and the total is then multiplied by 2.5 to obtain the overall SUS score, which ranges from 0 to 100. Higher scores indicate greater satisfaction with the system.
Time frame
It will be measured immediately after the intervention.2
Number of patients served and time spent on various nursing tasks
A self-designed table will be used to list common and repetitive nursing tasks in the ward in detail. These tasks include: ward orientation (e.g., nursing station), instructions for using ward equipment (e.g., patient beds, call bells), patient fall prevention education, reminders for various examinations (e.g., urination), health education for specimen collection (e.g., blood, urine), discharge instructions, and answering common questions from patients after viewing nursing care instructional videos. Each task will include spaces to record the number of patients served and time spent. Initially, an audio recorder will be used to measure the time, after which the researchers will calculate the start and end times, as well as any interruptions during the process, and fill in the table accordingly.
Time frame
It will be measured pre-intervention and during the interventionSponsors and contacts
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Source ClinicalTrials.gov