Application of Advanced Nurse-aid Robot to Enhance Dementia Care and Promote In-patient Safety

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Abstract Description
Submission ID :
HAC215
Submission Type
Authors (including presenting author) :
Yeung KC(1), Li SYC(2), Wong CS(2), Yu MSC(1), Chan ML(2)(3), Yeung KC(3), Leung CY(4), Yuen CTD(4), Leung WK(5), Chiang WK(5), Chin LF(6), Ho YC(6)
Affiliation :
(1)Department of Medicine and Geriatrics, Shatin Hospital, (2)Central Nursing Division, Bradbury Hospice, Cheshire Home Shatin and Shatin Hospital, (3)Department of Surgery and Neurosurgery, Shatin Hospital, (4)Department of Psychiatric, Shatin Hospital, (5)Infirmary Unit and Disable Unit, Cheshire Home Shatin, (6)In-patient Unit, Bradbury Hospice
Keyword 1: :
Nurse-aid robot
Keyword 2: :
AI
Keyword 3: :
Person-centered care
Keyword 4: :
Patient-centric
Keyword 5: :
Dementia care
Keyword 6: :
Restraint-reduction
Introduction :
According to Health Bureau, the population aged ≥ 65 will increase from 1.5 to 2.52 million in 2021 to 2039, approximately 31% of Hong Kong population. Previous studies consolidated the association of dementia and population ageing (Yu et al, 2012). The impact brought to public healthcare system will be tremendous. With patient-centred care, the Department of Medicine and Geriatrics (M&G) at Shatin Hospital (SH) has fostered a restraint-reduction culture since 2007. Restraint alternatives are offered to promote patient safety with zero restraint rate, including the pilot program of Advanced Nurse-aid Robot. With positive outcomes, it was further expanded since 2023 to wards in Bradbury Hospice(BBH), Cheshire Home Shatin (SCH) and SH, and with new features supported by hardware upgrade in 2025.
Objectives :
1. Prevent in-patient falls with restraint-reduction culture. 2. Enhance dementia care with non-pharmacological approaches. 3. Empower patients and carers with pre-discharge education.
Methodology :
1. Automatic patrol rounds with patient reminds targeting Reality Orientation and clinical risks. 2. Diversional therapy with patient-centered care as cognitive stimulation including videos, games and the interaction with AI Chatbox to enhance dementia care. 3. Ward orientation with patient safety reinforcement and fall education video broadcasting. 4. Pre-discharge patient education with electronic education pamphlets and tutorial of HA-Go apps.
Result & Outcome :
In-patient fall rates were monitored to evaluate the enhancement on patient safety with restraint-reduction culture. In 1Q/26, robot utilization and satisfaction of patient and staff were evaluated. 1.In-patient fall rates
BBH: 2022: 0.13< 0.35 (Hospital Group5)
2023: 0.11< 0.20 (Hospital Group5) 2024: 0.23< 0.27 (Hospital Group5)
1Q/2025: 0>0.14 (Hospital Group5) SCH: 2022: 0.18< 0.22 (Hospital Group3) 2023: 0.08< 0.18 (Hospital Group3) 2024: 0.07< 0.22 (Hospital Group3) 1Q/2025: 0< 0.12 (Hospital Group3) SH (General): 2022: 0.12< 0.26 (Hospital Group2) 2023: 0.07< 0.22 (Hospital Group2) 2024: 0.10< 0.16 (Hospital Group2) 1Q/2025: 0.05< 0.13 (Hospital Group2) 2.Daily screen time of diversional therapy 1Q&2Q/2023: 300.8mins/day 1Q/2025: 300.4mins/day 3.Patient and staff satisfaction questionnaire 1Q/2026 (112 Patients and 138 Staff)
100% positive feedback in fall prevention, infection control and dementia care.
≥ 97% positive feedback in workload relief and service enhancement.
Shatin Hospital

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