A Shortage in the Number of Nurses—A Case Study from a Selected Region in the Czech Republic and International Context

Procházka, Miroslav; Baraković, Sabina; Husić, Jasmina Baraković; Kuča, Kamil

doi:10.3390/healthcare8020152

Cited by 11 publications

(7 citation statements)

References 30 publications

(36 reference statements)

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“…The second point to discuss is that one has to nd the way to solve two parallel social trends and challenges with the assistive technologies worldwide: aging population and lack of healthcare workers. Smart assistive technologies should be accepted and supported not due to low prices and cost-savings given that the prices might go down with time, but because of labour shortages (Maresova, Hruska, et al, 2020;Maresova, Prochazka, et al, 2020) and increased number of seniors that need to be cared for (WHO, 2021). The bene t of applying smart assistive technologies is seniors' centres would be even more profound than in home environment, especially if one takes into account pandemic trends.…”

Section: Discussionmentioning

confidence: 99%

An effectiveness and cost-estimation model for deploying assistive technology solutions in elderly care

Režný

Bauer

Fadeyi

et al. 2022

International Journal of Healthcare Management

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BackgroundDeployment of modern assistive technologies is one of the major trends contained in the strategies of developed countries. However, the use of technology in households is not yet a common practice. The aim of this paper is present a model for assessment of selected smart device solutions in elderly care and the evaluation of overall care costs. The model provides the optimal set of devices for different target groups in terms of nancial savings. MethodsThe model uses demographic projections taken from Eurostat for EU countries and the disability incidence from the annual report of the Ministry of Labour and Social Affairs of the Czech Republic as an input. The model was implemented in the software Stella Professional dedicated to system dynamics modelling including a web interface and is accessible online. ResultsIn relation to the combination of ve assistive devices for the elderly, the optimal solution, the cost savings are 37.8% or182 billion CZK), cumulatively in the simulated time period 2021-2060. Out of the ve available assistive devices, up to three -UpWalker, Jaco robotic arm and Poseidon -were employed by the model for different target groups. ConclusionAccording to the performed analysis the assistive technologies proved a signi cant potential to maintain the quality of life of elderly and lessen the burden on public budgets. With respect to the ongoing demographic transition, the need to employ smart device solutions should further increase and their price could decline with increasing scale of production and overall advancement in technology.

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Section: Discussionmentioning

confidence: 99%

An effectiveness and cost-estimation model for deploying assistive technology solutions in elderly care

Režný

Bauer

Fadeyi

et al. 2022

International Journal of Healthcare Management

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“…Although many researchers have indicated that HRH availability has improved in some countries, out-of-balance, insufficient, and limited HRH availability persists in many other countries. Therefore, many countries still need to develop a long-term HRH plan [1][2][3][4][5][6][7][8] . Narasimhan (2004) [9] claimed that the quantity and distribution of HRH directly influence the quality of medical services and the long-term development of the medical system.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Health Human Resources on the Output Efficiency of Residents’ Health Status in China

Cheng¹,

Kuang²,

Zeng³

2020

Preprint

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Background: Along with the development of the Chinese economy, there has been an increasing demand for resident health care services. Human resources for health (HRH) are a cornerstone in the medical system and have a significant influence on the health status of residents. Methods: This study employed the data envelopment analysis (DEA) to explore the output efficiency of residents’ health status. The input variable was medical services and the output variable was the health status of residents. We examined aspects of the provincial and national dimensions in China and used a Tobit regression analysis to explore the impact of HRH on output efficiency scores. Results: We found that in the provincial dimension, all kinds of HRH (except for technicians) had a significantly positive impact on the output efficiency of residents’ health status. In the national dimension, licensed (assistant) doctors, registered nurses, and village doctors had a significantly positive effect on the efficiency in the “with surgical procedures” model. In the “without surgical procedures” model, the effect factors changed to registered nurses and pharmacists. Most importantly, pharmacists played a critical role in both the provincial and national output efficiency scores. For pharmacists, the influence coefficient was three times higher than licensed (assistant) doctors and 11 times higher than registered nurses.Conclusions: There is asymmetry between the demand for drug therapy and the lack of clinical pharmacists. Optimizing the allocation of HRH should be a top priority for healthcare systems and the government should adopt a long-term perspective.

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“…The increased elderly population, as a result, puts a significant burden on existing healthcare systems and infrastructures since elderly citizens require constant care, assistance, and monitoring because of the numerous chronic illnesses and conditions related to ageing. In addition to the increasing number of elderly citizens, a general increase in the number of people suffering from chronic illnesses coupled with the worldwide shortage of healthcare workers also contributes to the burden on healthcare infrastructures [ 13 , 14 , 15 , 16 ]. Several governments have dedicated significant resources to developing innovative technological solutions to provide efficient, affordable, and non-invasive services to improve overall citizen quality of life.…”

Section: Introductionmentioning

confidence: 99%

Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications

Shumba

Montanaro

Sergi

et al. 2022

Sensors

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Personalised healthcare has seen significant improvements due to the introduction of health monitoring technologies that allow wearable devices to unintrusively monitor physiological parameters such as heart health, blood pressure, sleep patterns, and blood glucose levels, among others. Additionally, utilising advanced sensing technologies based on flexible and innovative biocompatible materials in wearable devices allows high accuracy and precision measurement of biological signals. Furthermore, applying real-time Machine Learning algorithms to highly accurate physiological parameters allows precise identification of unusual patterns in the data to provide health event predictions and warnings for timely intervention. However, in the predominantly adopted architectures, health event predictions based on Machine Learning are typically obtained by leveraging Cloud infrastructures characterised by shortcomings such as delayed response times and privacy issues. Fortunately, recent works highlight that a new paradigm based on Edge Computing technologies and on-device Artificial Intelligence significantly improve the latency and privacy issues. Applying this new paradigm to personalised healthcare architectures can significantly improve their efficiency and efficacy. Therefore, this paper reviews existing IoT healthcare architectures that utilise wearable devices and subsequently presents a scalable and modular system architecture to leverage emerging technologies to solve identified shortcomings. The defined architecture includes ultrathin, skin-compatible, flexible, high precision piezoelectric sensors, low-cost communication technologies, on-device intelligence, Edge Intelligence, and Edge Computing technologies. To provide development guidelines and define a consistent reference architecture for improved scalable wearable IoT-based critical healthcare architectures, this manuscript outlines the essential functional and non-functional requirements based on deductions from existing architectures and emerging technology trends. The presented system architecture can be applied to many scenarios, including ambient assisted living, where continuous surveillance and issuance of timely warnings can afford independence to the elderly and chronically ill. We conclude that the distribution and modularity of architecture layers, local AI-based elaboration, and data packaging consistency are the more essential functional requirements for critical healthcare application use cases. We also identify fast response time, utility, comfort, and low cost as the essential non-functional requirements for the defined system architecture.

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A Shortage in the Number of Nurses—A Case Study from a Selected Region in the Czech Republic and International Context

Cited by 11 publications

References 30 publications

An effectiveness and cost-estimation model for deploying assistive technology solutions in elderly care

An effectiveness and cost-estimation model for deploying assistive technology solutions in elderly care

Impact of Health Human Resources on the Output Efficiency of Residents’ Health Status in China

Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications

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