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RECRUITINGNANCT06972043

AI-Assisted Smart Interactive Healthcare Robot

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 applica...

Lead sponsor: National Taiwan University Hospital•1 locations•View source on ClinicalTrials.gov

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Contacts

Yun-Hsiang Lee Associate Professor, PhD

CONTACT

+886 978082338 [email protected]

Sponsors

Lead Sponsor

National Taiwan University Hospital

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.

Age

18 - No limit years

Sex

ALL

Healthy Volunteers

Yes

Inclusion Criteria

•1. Nurse
•* Aged 18 years or older.
•* Currently employed as a ward nurse.
•Aged 18 years or older.
•Willing to accept the "E-Nursing Assistant" intervention for care tasks that do not involve patient safety.

Exclusion Criteria

•* Nurses who do not actively participate in ward care, such as nursing unit supervisors.
•2. Patients/Caregivers
•Patients or caregivers who are unconscious or unable to communicate verbally or in writing to complete the research interview.

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Data from ClinicalTrials.govLast updated on ClinicalTrials.gov: May 14, 2025Terms

Trial snapshot

StatusRECRUITING

PhaseNA

Enrollment160

Start dateApr 2025

Last updatedMay 14, 2025

Condition

Nursing Artificial Intelligence (AI)Deep Learning Mechine Learning

Locations shown

National Taiwan University Hospital

Taipei, Taiwan

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: May 14, 2025Data synced to Clareo: June 28, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

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