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- W4383616329 abstract "In 2022, the World Health Organization reported that 1 in 6 people worldwide will be aged 60 years or older by 2030. By 2050, the global population of people aged 60 years or older will double. The demand for long-term health care for older adults is increasing. In particular, the rate of urinary tract infection in older adults in long-term health care institutions is increasing. In this study, a smart health care strategy was proposed for preventing sepsis caused by urinary tract infections. A smart AIoT urine bag was designed to monitor the urine bacterial levels of older patients who are confined to bed for an extended time. To design the bag, a questionnaire was first administered to 19 medical professionals. Semistructured interviews with three health-care professionals were then conducted for further analysis, and the analytic hierarchy process (AHP) was used to perform a quantitative calculation of functional weights and to extract key product criteria. Quality functional deployment evaluation was used to define the design in terms of the house of quality and to verify the AHP results by quantifying the AHP-identified criteria for the design of the AIoT smart urine bag. Posture sensing, one-way valve, out-of-bed displacement warning, and emptying equipment were the four most important criteria for consideration during product development." @default.
- W4383616329 created "2023-07-09" @default.
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- W4383616329 date "2023-01-01" @default.
- W4383616329 modified "2023-10-12" @default.
- W4383616329 title "On Developing an Intelligent AIoT Urine Bag by Integrating AHP and QFD" @default.
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- W4383616329 doi "https://doi.org/10.1007/978-3-031-35992-7_9" @default.
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