AI-Assisted Smart Interactive Healthcare Robot

NCT06972043 | Recruiting

• 1 other identifier: 202410046RINE
• Study Type: interventional
• Target: 160
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Nursing; Artificial Intelligence (AI); Deep Learning; Mechine Learning

Keywords

Nursing; Artificial Intelligence (AI); Medical Science and Technology

Outcome Measures

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.

  It will be measured pre-intervention and immediately after the intervention.

Secondary Outcomes (2)

• System Usability

  It will be measured immediately after the intervention.

• Number of patients served and time spent on various nursing tasks

  It will be measured pre-intervention and during the intervention

Study Arms (1)

Intervention Group

OTHER

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.

Other: Intervention Group

Interventions

Intervention Group OTHER

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.

Intervention Group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Aged 18 years or older.
• Currently employed as a ward nurse.

You may not qualify if:

• 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.
• Patients or caregivers who are unconscious or unable to communicate verbally or in writing to complete the research interview.

Sponsors & Collaborators

• National Taiwan University Hospital: lead

Study Sites (1)

National Taiwan University Hospital

Taipei, Taiwan, 802, Taiwan

RECRUITING

Central Study Contacts

Yun-Hsiang Lee Associate Professor, PhD

CONTACT

+886 978082338; yhlee338@ntu.edu.tw

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: OTHER
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: Since the robot will interact with patients or caregivers during its operation in the ward, in addition to the nursing staff completing the informed consent form, patients or caregivers will also be required to fill out a consent form.

Study Record Dates

• First Submitted: April 7, 2025
• First Posted: May 14, 2025
• Study Start: April 30, 2025
• Primary Completion: December 31, 2025
• Study Completion: March 27, 2026
• Last Updated: May 14, 2025

Record last verified: 2025-04

Locations

TW (1)