SNQ Quality Mark

SNQ is built on evidence-based standards, setting trusted quality and safety benchmarks for healthcare, biomedical, health, and animal care services and products.

  • 9F, No. 508, Sec. 7, Zhongxiao E. Rd., Nangang Dist., Taipei City, Taiwan
  • +886 2 2655 7888
  • snq@snq.com.tw

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  • Medical Service
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  • Animal Care & Products

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Organized by|Research Center for Biotechnology and Medicine PolicyOperated by|Kuanglu International Quality Standards Co., Ltd.© 2026 Kuanglu International Quality Standards Co., Ltd. All rights reserved.Privacy Policy
SNQ Quality Mark
繁中
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Target Population

Nursing home residents, elders in day care centers, and community elders.


Description

  • In addition to caring for institutional residents, our organization is also committed to deeply dedicating the community and actively establishing a care model integrated with the community. It adopts the core concepts of "resident-centered" "care needs, service accessibility, and aging in place" and applies "three hearts, four "Prevention, Five Whole" strategy, continue to build comprehensive smart care for residents' health, and all aspects e-smart care connect community services, provide diversified services and participate in e-smart care, pay attention to residents' physical, mental and spiritual feelings, constantly innovate in professional quality and improve care Quality, create a safe care environment, and build a happy home.

  • "Three Hearts": Carers are attentive, family members are at ease, and elders are at ease.

  • "Four preventions": prevention of degradation, prevention of falls, prevention of crushing injuries, and prevention of disasters.

  • "Five Wholes": whole person, whole family, whole team, whole process, and whole community.

  • Innovation: Fall-prevention image recognition monitoring system, digital fire protection dynamic table of residents’ mobility.


Key Highlights

  • Information system implemention (evidence 1)

  • Cooperate with the Veterans Affairs Council (VAC) to implement the "Attached Long-term Care Institution Management Information System", use information foundation and resources to connect the service management platform of residents and caregivers, improve care management efficiency and service quality, and provide real-time measurement information required by cross-site institutions. Complete warning notification and abnormal data collection. Through the intervention of information and communication technology, we established a smart care management platform for residents and planned to use the FHIR IoT cloud platform for data collection, automatically transmitting residents' de-identified measurement information to the Azure cloud platform for real-time monitoring and abnormal feedback.

  • provide form and report generation tool systems based on the needs of long-term care institutions.

  • Connect with the hospital accounting system and health consumables system should be connected in series to avoid pricing errors.

  • Automatically fill in the relevant fields of the Ministry of Health and Welfare's Nursing Institution Evaluation System - Nursing Home Care Management System - Whole Person Care Assessment to reduce repetitive operations.

  • Interface with various instruments and equipment: transfer the instrument measurement data in the institution to the long-term care institution management information system and connect it with the smart auxiliary care equipment to automatically bring the equipment measurement or evaluation results.

  • Real-time linkage of all records related to the medical information system (including medical treatment, hospitalization, medication, rehabilitation, nutrition, psychology, social work, etc.).

  • Smart mattress connection (evidence 2)

  • Smart care mattress system:

  • Care management system

  • The nurses can log in to the system web page at any time to view multiple and individual bedridden monitoring and daily norm information.

  • Graphical interface: Displays the usage status of multiple beds at the same time (including real-time bed activities, long-term pressure area display, activity level, and battery level).

  • Bed exit warning (bed seat, bed edge, bed exit) to prevent falls.

  • Neural network-like machine learning to interpret bedridden status.

  • Personalized reminder settings:

  • Prolonged lying/low activity reminder.

  • Restlessness reminder.

  • Turn over and clap-back reminder.

  • Adjust the event reminder period according to care needs.

  • Can be integrated with other Bluetooth devices for medical care and other sensors collect. Big data such as bed rest, sleep, physiological measurement and other care services can be collected. In the future, machine learning will be used to build models of personalized health indicators and care guidelines to establish a more complete model and integrated care processes and environments.

  • Emergent rescue display management system (evidence 3)

  • Cooperate with Yunlin University of Science and Technology to develop software for the " Emergent rescue Display Management System". The mobility of residents in nursing homes are divided into paralyzed, wheelchair and walking. The care and management of residents is an important task. The software system developed by this project can easily input the type and calculated number of residents, and prompt the route planning of each house, effectively strengthening the application of medical staff in housing management. Through the digital mobility of residents, the electronic bulletin board of the fire dynamic table can quickly explain the unit environment and the location of the residents who need to be evacuated to the support staff while performing fire drill. Our actual drill test showed that the evacuation time of the digital fire dynamic table without intervention of residents' mobility was 10 minutes and 31 seconds. After intervention, it can be reduced to 8 minutes and 27 seconds. After colleagues have practiced and used it for many times, it can be reduced to 7 minutes and 03 seconds, which greatly improves the support manpower's immediate grasp of spatial directions, thereby reducing evacuation time.

Service Data

  • Patent certificate for emergency ambulance display management system. (Supporting evidence 12)

  • Patent certificate for intelligent fall imaging monitoring system. (Proof 13)


Featured Outcomes

Infection indicator monitoring: The threshold for 114 years was ≤5‰, and the average density for 114 years was 3‰, which did not exceed the threshold.


Safety Outcomes

Fall detection index monitoring: The threshold for 114 years is ≤0.05%, and the average density for 114 years is 0.01%, which does not exceed the threshold.

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Long-Term Care

Smart Integrated Long-Term Care

Resident-centered nursing home integrating medical, daily living, and smart care services with holistic and fall-prevention care strategies.
Organization
Wanqiao Branch, Taichung Veterans General Hospital
Specialties/Units
Nursing Home and Day Care Services
Certification Year
2022、2023、2024、2025
Smart Integrated Long-Term Care