The Guardian Slippers: Designing an IoT Device to Enhance Safety for the Elderly in the Nursing Home

Chen, I-Hsin; Chen, Chien-Hsu; Ting, Yu-Chia; Hung, Wei-Lun; Cheng, Bo-Yun

doi:10.1007/978-3-030-80744-3_46

Cited by 1 publication

(1 citation statement)

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“…TRL classifies nine levels of developmental stages, from basic principles and technology concepts formulated to the completion and proof of actual system [205]. Of the 81 articles on system designs, three [83,90,117] were not able to be evaluated by TRLs because these were only abstracts with inadequate information, 6.5% (n = 5) were judged to be at level 1, 15% (n = 12) at level 2, 14% (n = 11) at level 3, 6.5% (n = 5) at level 4, 4% (n = 3) at level 5, 19% (n = 15) at level 6, and 35% (n = 27) at level 7 (Table 3). Among newly developed technologies, 82% (n = 64) were applications for health and abnormal events monitoring, fall detection, and notification systems.…”

Section: Technology Readiness Level (Trl) Measurementmentioning

confidence: 99%

Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review

et al. 2022

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Background and objectives Smart technology in nursing home settings has the potential to elevate an operation that manages more significant number of older residents. However, the concepts, definitions, and types of smart technology, integrated medical services, and stakeholders’ acceptability of smart nursing homes are less clear. This scoping review aims to define a smart nursing home and examine the qualitative evidence on technological feasibility, integration of medical services, and acceptability of the stakeholders. Methods Comprehensive searches were conducted on stakeholders’ websites (Phase 1) and 11 electronic databases (Phase 2), for existing concepts of smart nursing home, on what and how technologies and medical services were implemented in nursing home settings, and acceptability assessment by the stakeholders. The publication year was inclusive from January 1999 to September 2021. The language was limited to English and Chinese. Included articles must report nursing home settings related to older adults ≥ 60 years old with or without medical demands but not bed-bound. Technology Readiness Levels were used to measure the readiness of new technologies and system designs. The analysis was guided by the Framework Method and the smart technology adoption behaviours of elder consumers theoretical model. The results were reported according to the PRISMA-ScR. Results A total of 177 literature (13 website documents and 164 journal articles) were selected. Smart nursing homes are technology-assisted nursing homes that allow the life enjoyment of their residents. They used IoT, computing technologies, cloud computing, big data and AI, information management systems, and digital health to integrate medical services in monitoring abnormal events, assisting daily living, conducting teleconsultation, managing health information, and improving the interaction between providers and residents. Fifty-five percent of the new technologies were ready for use in nursing homes (levels 6–7), and the remaining were proven the technical feasibility (levels 1–5). Healthcare professionals with higher education, better tech-savviness, fewer years at work, and older adults with more severe illnesses were more acceptable to smart technologies. Conclusions Smart nursing homes with integrated medical services have great potential to improve the quality of care and ensure older residents’ quality of life.

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Section: Technology Readiness Level (Trl) Measurementmentioning

confidence: 99%