Design of an Intelligent Intravenous Infusion Hemostat for Elderly Patients with Chronic Diseases Based on Image Recognition Technology

Fu, Minting; Luo, Jianxun

doi:10.1007/978-3-031-06018-2_3

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Current research related to "chronic disease" and "Design" primarily concentrates on product enhancement and improving user experiences, which may not adequately address the challenges faced by rural elderly individuals dealing with chronic illnesses. Some studies focus on the design of medical instruments, such as smart hemostats in conjunction with new technology [13], the development of a Mobile Monitoring and Feedback Tool [14], the design of intelligent medical aid products tailored to the needs of elderly users managing chronic diseases [15], and the creation of mobile applications [16]. Furthermore, certain research endeavors are dedicated to enhancing the user experience along the journey of "purchasing medicine-taking medicine-managing medicine" [17].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Income as a Starting Point for Designing Sustainable Health Product-Service Systems for Chronically Ill Elderly in Rural Areas

Wang,

Yang,

Zha

et al. 2023

Sustainability

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Insufficient income, inadequate healthcare resources, and insufficient chronic disease management awareness pose a fundamental obstacle to the sustained health maintenance of elderly individuals with chronic diseases in rural areas. In response to these challenges, this study adopted a research-through-design approach and introduced system design thinking by incorporating new stakeholders, experiential insights, and services. Initially, during the background research stage, a semi-structured interview was conducted to gain an understanding of the pains, needs, and potential opportunities of the target users. Subsequently, in the design model construction stage, desk research was carried out to refine and integrate the common components identified in various design models. In a focus group, these components were then incorporated into the development of a Sustainable Health Product-Service System Design Model tailored for rural elderly with chronic diseases after refining the pains, needs, and potential opportunities defined in the first stage. This design model encompassed elements including a background layer, a stakeholder layer, a funding layer, a product layer, a service layer, and an information layer. In the system design and design model validation stage, a design project aimed at health maintenance was launched within Liyang Town, with the design thinking method following a process of empathizing, defining, ideating, prototyping, and testing. Throughout the project, the established model guided the design process and facilitated the conceptualization and implementation of a Product-Service system. In conclusion, an investigation encompassing 15 elderly individuals was undertaken to analyze their income balance, health condition, health awareness, and their satisfaction with the health system. This analysis spanned the period both before and after their involvement in the project. The outcomes of this examination revealed notable enhancements across all three dimensions evaluated, highlighting the positive impact of the project on the elderly participants. Furthermore, the project’s social benefits were also comprehensively established.

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Section: Introductionmentioning

confidence: 99%

Enhancing Income as a Starting Point for Designing Sustainable Health Product-Service Systems for Chronically Ill Elderly in Rural Areas

Wang,

Yang,

Zha

et al. 2023

Sustainability

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Intelligent Wearable Healthcare Monitoring Framework

Choudhury,

Sarma

2023

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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Intelligent wearable healthcare monitoring has emerged as a promising field in healthcare, allowing for real-time and continuous monitoring of a patient's health status. In recent years, advances in sensor technology and machine learning (ML)/ deep learning (DL) have led to the development of sophisticated wearable healthcare monitoring frameworks that can provide accurate and timely healthcare services. This work provides an overview of the current trends in sensor-aided and DL approaches for intelligent wearable healthcare monitoring frameworks. This chapter discusses the various medical sensors that are commonly used in wearable devices. DL approaches have been widely used in intelligent wearable healthcare monitoring frameworks to process and analyze the data collected from sensors. Authors also discuss the various DL techniques which are commonly used for healthcare monitoring.

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Design of an Intelligent Intravenous Infusion Hemostat for Elderly Patients with Chronic Diseases Based on Image Recognition Technology

Cited by 2 publications

References 4 publications

Enhancing Income as a Starting Point for Designing Sustainable Health Product-Service Systems for Chronically Ill Elderly in Rural Areas

Enhancing Income as a Starting Point for Designing Sustainable Health Product-Service Systems for Chronically Ill Elderly in Rural Areas

Intelligent Wearable Healthcare Monitoring Framework

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