Development of smart nursing homes using systems engineering methodologies in industry 4.0

Cui, Fengming; Ma, Liang; Hou, G. W. S.; Pang, Zhibo; Hou, Yonghong; Li, Lefei

doi:10.1080/17517575.2018.1536929

Cited by 29 publications

(21 citation statements)

References 35 publications

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“…The nurse can directly click the execute button on the doctor's order information to execute or confirm the execution by scanning the outer package of the drug, the infusion bottle sticker, and the barcode on the test tube. Meanwhile, the system automatically records the executor and the execution time [ 16 ]. The diagram of the medical order processing module is shown in Figure 7 .…”

Section: Application Of the Intelligent Nursing Information Systemmentioning

confidence: 99%

Application of Intelligent Nursing Information System in Emergency Nursing Management

Chen

2021

Journal of Healthcare Engineering

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This paper is combined with the intelligent nursing information system to build the emergency nursing platform architecture, from the system emergency procedures, system functionality, network environment deployment, and database design aspects of the discussion. Based on hospital information security, the nursing monitoring system of the intelligent nursing information system is constructed to realize network communication, which is clear and intuitive. The intelligent information system is applied to safety control, medical order information, condition information, and information inquiry, which can save working time and complete the rapid transmission and accurate execution of medical order, making the network communication of medical care more quick and convenient and maximizing the overall efficiency. Based on the disordered phenomenon of registration triage, the Relief algorithm is used to classify the aetiology and triage, and the combination of medical advice, information query, and IT technology is optimized, so as to eliminate the phenomenon of round diagnosis, insert number, and improve the medical environment of waiting for diagnosis, taking medicine, examination, and testing. Finally, through the testing of system information security, information traceability, and rapid information query, the problems in nursing management have been basically solved.

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Section: Application Of the Intelligent Nursing Information Systemmentioning

confidence: 99%

Application of Intelligent Nursing Information System in Emergency Nursing Management

Chen

2021

Journal of Healthcare Engineering

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“…The IoT, wearable technology, and mobile technology could be used to provide real-time, efficient, and intelligent monitoring services in the nursing homes [ 45 ]. However, few studies have formulated the framework or architecture of a smart nursing home based on IoT [ 46 – 48 ], and fewer have integrated medical services or hospitals to meet the diverse needs of the elderly people with chronic health conditions [ 49 , 50 ]. In 2014, the Ministry of Civil Affairs, China released the ‘Smart Elderly Internet of Things Pilot Project’ to encourage the development of smart nursing homes [ 51 ].…”

Section: Introductionmentioning

confidence: 99%

The expectations and acceptability of a smart nursing home model among Chinese elderly people: A mixed methods study protocol

et al. 2021

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Nursing homes integrated with smart information such as the Internet of Things, cloud computing, artificial intelligence, and digital health could improve not only the quality of care but also benefit the residents and health professionals by providing effective care and efficient medical services. However, a clear concept of a smart nursing home, the expectations and acceptability from the perspectives of the elderly people and their family members are still unclear. In addition, instruments to measure the expectations and acceptability of a smart nursing home are also lacking. The study aims to explore and determine the levels of these expectations, acceptability and the associated sociodemographic factors. This exploratory sequential mixed methods study comprises a qualitative study which will be conducted through a semi-structured interview to explore the expectations and acceptability of a smart nursing home among Chinese elderly people and their family members (Phase I). Next, a questionnaire will be developed and validated based on the results of a qualitative study in Phase I and a preceding scoping review on smart nursing homes by the same authors (Phase II). Lastly, a nationwide survey will be carried out to examine the levels of expectations and acceptability, and the associated sociodemographic factors with the different categories of expectations and acceptability (Phase III). With a better understanding of the Chinese elderly people’s expectations and acceptability of smart technologies in nursing homes, a feasible smart nursing home model that incorporates appropriate technologies, integrates needed medical services and business concepts could be formulated and tested as a solution for the rapidly ageing societies in many developed and developing countries.

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“…Cui et al [42] indicate that smart nursing homes which are equipped with electronic devices and intelligent systems are of major importance with the rapid growth of the elderly population and the dramatic advancement of health informatics. They proposed a new model, using some tools such as the quality matrix house to constantly identify, allocate and improve the requirements, emphasizes the synchronization development of the cyber-physical system with the intelligent maintenance house, and the iterative and lifecycle development processes.…”

Section: Literature Review On Digitalizationmentioning

confidence: 99%

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Sergi

Sarı

2021

Complex Intell. Syst.

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In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used in the analysis. The decision criteria are determined as reduced cost, fast response, ease of accessibility, reduced service times, increase in the available information and increased quality. After obtaining criteria weights using fuzzy Z-AHP, health care services, waste disposal department, public transportation, information services, social care services, and citizen complaints resolution centers are compared using fuzzy Z-WASPAS that is proposed for the first time in this paper. Results show that health care services have dominant importance for the digitalization among public services.

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Development of smart nursing homes using systems engineering methodologies in industry 4.0

Cited by 29 publications

References 35 publications

Application of Intelligent Nursing Information System in Emergency Nursing Management

Application of Intelligent Nursing Information System in Emergency Nursing Management

The expectations and acceptability of a smart nursing home model among Chinese elderly people: A mixed methods study protocol

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

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