Transforming Public Health Data Management in IoMT Networks Based on Innovative Offloading Scheme

Healthcare platform monitoring IoT-oriented technologies constitute the idea of Internet of Medical Things (IoMT) in public health and medical services. The amount and quality of created data have a substantial influence on data management and privacy compute offloading solutions are unable to keep up with the growing needs of the health industry, especially when fast and dependable communication was needed. The study suggests a unique approach called Mutated Barnacles Mating Optimization (MBMO) for assisting the data management issues in IoMT systems. The suggested MBMO framework successfully addresses problems that are common in the medical industry by using a data offloading technique. To overcome the issues of discrete tasks and resource allocation, guarantees the needs of dependable and efficient communication. We implemented Java software. The evaluation of the performance step encompasses several measures, such as energy consumption (J/ms) and Time delay (ms)model to assess the efficiency of the suggested forecasting algorithm. We performed an assessment of comparison with other established approaches results indicate that the suggested model produces superior results for assisting the data management issues in IoMT systems

Big data analytics in the healthcare industry: A systematic review and roadmap for practical implementation in Nigeria

Introduction: The introduction of digitization of healthcare data has posed both challenges and opportunities within the industry. Big Data Analytics (BDA) has emerged as a powerful tool, facilitating data-driven decision-making and revolutionizing patient care. Purpose: The research aimed to analyze diverse perspectives on big data in healthcare, assess BDA's application in the sector, examine contexts, synthesize findings, and propose an implementation roadmap and future research directions. Methodology: Using an SLR protocol by Nazir et al. (2019), sources like Google Scholar, IEEE, ScienceDirect, Springer, and Elsevier were searched with 18 queries. Inclusion criteria yielded 37 articles, with five more added through citation searches, totaling 42. Results: The study uncovers diverse healthcare viewpoints on big data's transformative potential, precision medicine, resource optimization, and challenges like security and interoperability. BDA empowers clinical choices, early disease detection, and personalized medicine. Future areas include ethics, interpretable AI, real-time BDA, multi-omics integration, AI-driven drug discovery, mental health, resource constraints, health disparities, secure data sharing, and human-AI collaboration. Conclusion: This study illuminates Big Data Analytics' transformative potential in healthcare, revealing diverse applications and emphasizing ethical complexities. Integrated data analysis is advocated for patient-centric services. Recommendation: Balancing BDA's power with privacy, guidelines, and regulations is vital. Implementing the Nigerian healthcare roadmap can optimize outcomes, address challenges, and enhance efficiency. Future research should focus on ethics, interpretable AI, real-time BDA, and mental health integration

A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation

Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. However, these models are considerably reliant on user input and the introduction of relevant curated data. Deep learning approaches offer an analogous solution, where user input is not required. This paper proposes a hybrid Case-Based Reasoning, Deep Learning framework for medical-related applications, focusing on the generation of medical reports. The proposal combines the explainability and user-focused approach of case-based reasoning models with the deep learning techniques performance. Moreover, the framework is fully modular to fit a wide variety of tasks and data, such as real-time sensor captured data, images, or text, to name a few. An implementation of the proposed framework focusing on radiology report generation assistance is provided. This implementation is used to evaluate the proposal, showing that it can provide meaningful and accurate corrections, even when the amount of information available is minimal. Additional tests on the optimization degree of the case base are also performed, evidencing how the proposed framework can optimize this base to achieve optimal performance

Construction and evaluation of China older-adult care service smart supply chain system

IntroductionAs the aging of the population continues to deepen, the pressure on social pensions is gradually increasing, and the issue of assistance has become a problem that must be solved. With the development of science and technology, people’s living standard is constantly improving. The older-adult care services expected by the older-adult are wider than meeting the basic daily needs of individuals. The current industry should also consider combining modern science and technology with the older-adult care service industry to serve older-adult better and enable older-adult care service providers to move towards the service needs that make people happier and healthier. This research is about constructing and evaluating China’s older-adult care services smart supply chain.MethodsBased on the research results of previous scholars, this paper divides the Sun construction of the smart supply chain of China endowment service into four aspects: policy aspect, economic aspect, social aspect, and technical aspect; the four significant elements are divided into the first-level indicators, and 16 second-level indicators are divided under the first-level indicators. The importance and satisfaction of each evaluation index were obtained by distributing questionnaires to the managers who study the supply chain and the employees who are related to the old-age service.Results and discussionAfter the reliability analysis, the importance-performance analysis (IPA) quadrant analysis chart of the evaluation index was constructed using importance-performance analysis. The index of creating a smart supply chain system for China’s old-age service is given priority, the supply chain system of China’s old-age care service is further improved, and the social security of China’s old-age service is enlarged

Big data analytics in healthcare: a systematic literature review

The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among the general public, interactions among stakeholders in the healthcare ecosystem, hospital management practices, treatment of specific medical conditions, and technology in healthcare service delivery. This SLR recommends actionable future research agendas for scholars and valuable implications for theory and practice

An IoMT-based geriatric care management system for achieving smart health in nursing homes

202402 bcchAccepted ManuscriptSelf-fundedPublishedGreen (AAM

An IoMT-based geriatric care management system for achieving smart health in nursing homes

Purpose: The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes. Design/methodology/approach: The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes. Findings: A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly. Originality/value: Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved

An ICT framework to support a patient-centric approach in public healthcare : A case study of Malawi

vital:59285The proliferation of Information and Communication Technologies (ICTs) worldwide has enhanced the amelioration of the quality of healthcare services. There is evidence that the adoption of electronic health (e-health) and mobile health (m-health) technologies has transformed the healthcare domain by improving the efficiency of healthcare service delivery. Digitising health ecosystems has culminated in increased access to healthcare services, even for remote rural areas. The application of ICTs in the healthcare sector has reduced the overall costs of healthcare services. However, developing countries, such as Malawi, face a plethora of challenges in implementing ICT initiatives in the public health sector. Although Malawi deploys several e-health systems, most are fragmented and, therefore, not interoperable. In addition, many m-health interventions are still in the pilot phase, and the Government does not manage them centrally. These challenges are further exacerbated by a lack of appropriate policy and regulatory framework, insufficient human capacity and development, inadequate financial resources, and poor ICT governance in the public healthcare sector. Furthermore, the current provider-centred approach to healthcare service delivery does not fully meet the needs of health consumers. It is, therefore, not surprising that the dearth of an ICT framework for patient-centric healthcare services has made coordination and management of ICT interventions less sustainable, less health consumer-centric and less cost-effective. Unlike the provider-centred approach, patient-centric healthcare empowers health consumers with health information to control their own health and well-being. A patient-centric healthcare approach provides treatment and care to health consumers based on their preferences, values, and beliefs. It is, therefore, cost-effective as it takes a preventive approach rather than a curative one. An ICT framework is proposed to support patient-centric healthcare services in the public healthcare sector in Malawi. A comprehensive literature review and analysis was succinctly conducted to gain an understanding of the Malawi health landscape and patient healthcare approaches. Semi-structured interviews were also undertaken to solicit information from various key v stakeholders such as policymakers, software developers, health consumers, and healthcare providers. Design science research paradigm coupled with pragmatism was then followed to develop the ICT framework, which will ultimately support patient-centric healthcare services in the public sector in Malawi. This methodology assists in solving social problems in a specific context by providing technology-based solutions in the form of an artefact. Experts in various disciplines domiciled in Malawi validated the ICT framework, as an artefact, for its relevance and applicability. The results showed that the framework is appropriate and relevant in the public healthcare sector in Malawi. This study contributes to design science research methodology as it addressed the improvement quadrant described by Gregor and Hevner. It also contributes to the existing body of knowledge by providing a design science artefact in the form of an ICT framework. It is envisaged that the proposed ICT framework will assist the Ministry of Health and other key stakeholders in providing quality patient-centric healthcare services in the public healthcare in Malawi.Thesis (PhD) -- Faculty of Engineering, the Built Environment, and Technology, 202