Clinical trial NCT06972043: AI-Assisted Smart Interactive Healthcare Robot
Official title: Development and Testing of an AI-Assisted Smart Interactive Healthcare Robot Program
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Nursing
Artificial Intelligence (AI)
Deep Learning
Mechine Learning
Keywords: Nursing
Artificial Intelligence (AI)
Medical Science and Technology
Lead sponsor: National Taiwan University Hospital
Sponsor class: OTHER
First posted: 2025-05-14
Enrollment: 160
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: NA
Intervention model: SINGLE_GROUP
Intervention model description: 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.
Primary purpose: OTHER

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.

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.

Eligibility criteria: 1. 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.

Primary outcomes:
measure: Workload-related stress in nursing staff
timeFrame: It will be measured pre-intervention and immediately after the intervention.
Secondary outcomes:
measure: System Usability
timeFrame: It will be measured immediately after the intervention.
measure: Number of patients served and time spent on various nursing tasks
timeFrame: It will be measured pre-intervention and during the intervention
Other outcomes:
Locations:
city: Taipei
country: Taiwan
facility: National Taiwan University Hospital
Study officials:
References: