Palliative home-based technology from a practitioner's perspective: benefits and disadvantages

This critical review paper explores the concept of palliative home-based technology from a practitioner's perspective. The aim of the critical review was to scope information available from published and unpublished research on the current state of palliative home-based technology, practitioner-focused perspectives, patient-focused perspectives, quality of life, and the implications for clinical practice. Published and unpublished studies were included. An example of one UK patient-centered home-based technology is explored as an exemplar. The evidence suggests that despite the challenges, there are numerous examples of good practice in relation to palliative home-based technology. Improvements in technology mean that telehealth has much to offer people being cared for at home with palliative needs. However, some of the evaluative evidence is limited, and further rigor is needed when evaluating future technology-based solutions innovations

Effective implementation and monitoring of telehealth and telecare in Ireland: learning from international best practice.

This document synthesises the information provided in a number of papers relating to Telecare/Telehealth commissioned by and developed for the National Disability Authority between 2014 and 2017. The papers in question were developed by researchers in Work Research Centre (WRC), the National Disability Authority and the University of Ulster, and this report has taken key learning and information from each of them to create this composite briefing paper

Prediction of Disease Using Machine Learning over Big Data-Survey

With massive information development in medical specialty and aid community, precise analysis of medical information advantages premature disease detection, patient care and community services. although, the analysis accuracy is reduced once the standard of medical information is incomplete. moreover, completely different regions exhibit distinctive characteristics of bound regional diseases, which can weaken the prediction of illness outbreaks. during this paper, we tend to contour machine learning algorithms for effective prediction of chronic malady eruption in disease-frequent communities. we tend to experiment the tailored prediction models over real-life hospital information collected from central China in 2013-2015. to beat the problem of incomplete information, we tend to use a latent issue model to build the missing information. we tend to experiment on a regional chronic illness of cerebral infarction. we tend to propose a replacement convolutional neural network based multimodal disease risk prediction (CNN-MDRP) algorithmic program victimisation structured and unstructured information from hospital. To the simplest of our data, none of the prevailing work targeted on each information varieties within the space of medical massive information analytics. Compared to many typical prediction algorithms, the prediction accuracy of our projected algorithmic program reaches ninety four.8% with a convergence speed that is faster than that of the CNN-based unimodal disease risk prediction (CNN-UDRP) algorithmic program

Holistic System Design for Distributed National eHealth Services

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The Potential of Digital Solutions for Integration of Health and Social Care Services

Aberdeen City Health and Social Care Partnership Exploratory on the 23rd November 2016 in Aberdeen with focus on digital solutions for integrated health and care services

A Review on Provisioning Quality of Service of Wireless Telemedicine for E-Health Services

In general, on-line medical consultation reduces time required for medical consultation induces improvement in the quality and efficiency of healthcare services. All major types of current e-health applications such as ECG, X-ray, video, diagnosis images and other common applications have been included in the scope of the study. In addition, the provision of Quality of Service (QoS) for the application of specific healthcare services in e-health, the scheme of priority for e-health services and the support of QoS in wireless networks and techniques or methods for IEEE 802.11 to guarantee the provision of QoS has also been assessed. In e-health, medical services in remote locations such as rural healthcare centers, ambulances, ships as well as home healthcare services can be supported through the applications of e-health services such as medical databases, electronic health records and the routing of text, audio, video and images. Given this, an adaptive resource allocation for a wireless network with multiple service types and multiple priorities have been proposed. For the provision of an acceptable QoS level to users of e-health services, prioritization is an important criterion in a multi-traffic network. The requirement for QoS provisioning in wireless broadband medical networks have paved the pathway for bandwidth requirements and the real-time or live transmission of medical applications. From the study, good performance of the proposed scheme has been validated by the results obtained. The proposed wireless network is capable of handling medical applications for both normal and life-threatening conditions as characterized by the level of emergencies. In addition, the bandwidth allocation and admission control algorithm for IEEE 802.16- based design specifically for wireless telemedicine/e-health services have also been presented in the study. It has been concluded that under busy traffic conditions, the proposed architecture can used as a feasible and reliable infrastructure network for telemedicine

The reality of home remote patient monitoring: A thesis on the nature, dynamics and effects of telehealth

Chronic diseases are very complex conditions in which two or m ore disease processes may coexist. Managing patients with chronic conditions represents a major challenge to public health, since eighty per cent of GP consultations are related to these groups. Further more, five per cent of them represent roughly forty two per cent of the total acute day bed occupancy. Nowadays, the tendency is to bring patients from high levels of care to primary care and home settings. In this scenario, telehealth is one of the methods that can be used to improve and provide access to remote patient monitoring at home. This is important for patients with chronic diseases as it can help to recognise any signs of deterioration, provide health education and support management of their condition. Potentially, telehealth can reduce deaths, emergency visits, A&E visits, elective admissions, bed stays and costs. This can be done by designing and implementing telehealth interventions that help reduce unnecessary referrals to specialised services and monitor patients remotely at home. However, there is not a unique framework for designing telehealth interventions. In order to design a robust, accurate and reliable telehealth intervention, a number of important factors have to be taken into account. A review of three systematic reviews, and an in-depth investigation of a case study based on an EU funded project, were used to gather the evidence for telehealth interventions. These were used to identify the main components of the framework proposed. The investigation focused primarily on home monitoring for patients with diabetes, asthma, hypertension and COPD. We concluded that factors such as usability, safe intervention, patients’ individual requirements, training, safe interventions, ease of use, data integration, development of procedures and allocation of appropriate staff are important components that need to be considered in order to satisfy a robust framework

Smart Healthcare solutions in China and Europe, an international business perspective

The thesis is part of the Marie Curie Fellowship project addressing health related challenges with IoT solutions. The author tries to address the challenge for the implementation of telehealth solutions by finding out the demand of the telehealth solution in selected European economies and in China (chapter 1), analyzing the emerging business models for telehealth solution ecosystems in China (chapter 2), how to integrate telehealth solutions with institutional stakeholders (chapter 3) and why are elderly users willing to use telehealth solutions in China. Chapter 1 and chapter 2 form the theoretical background for empirical work in chapter 3 and chapter 4. The thesis addressed four research questions, namely “Which societal and social-economics unmet needs that Internet of Healthcare Things can help to resolve?”, “What are the business model innovation for tech companies in China for the smart health industry?”, “What are the facilitators and hurdles for implementing telehealth solutions”, “Are elderly users willing to use telehealth solutions in China?”. Both qualitative study and quantitative analysis has been made based on data collected by in depth interviews with stakeholders, focus group study work with urban and rural residents in China. The digital platform framework was used in chapter 2 as the theoretical framework where as the stakeholder power mapping framework was used in chapter 3. The discretion choice experiment was used in chapter 4 to design questionnaire study while ordered logit regression was used to analyze the data. Telehealth solutions have great potential to fill in the gap for lack of community healthcare and ensuring health continuity between home care setting, community healthcare and hospitals. There is strong demand for such solutions if they can prove the medical value in managing chronic disease by raising health awareness and lowering health risks by changing the patients’ lifestyle. Analyzing how to realize the value for preventive healthcare by proving the health-economic value of digital health solutions (telehealth solutions) is the focus of research. There remain hurdles to build trust for telehealth solutions and the use of AI in healthcare. Next step of research can also be extended to addressing such challenges by analyzing how to improve the transparency of algorithms by disclosing the data source, and how the algorithms were built. Further research can be done on data interoperability between the EHR systems and telehealth solutions. The medical value of telehealth solutions can improve if doctors could interpret data collected from telehealth solutions; furthermore, if doctors could make diagnosis and provide treatment, adjust healthcare management plans based on such data, telehealth solutions then can be included in insurance packages, making them more accessible

Ubiquitous Computing for Remote Cardiac Patient Monitoring: A Survey

New wireless technologies, such as wireless LAN and sensor networks, for telecardiology purposes give new possibilities for monitoring vital parameters with wearable biomedical sensors, and give patients the freedom to be mobile and still be under continuous monitoring and thereby better quality of patient care. This paper will detail the architecture and quality-of-service (QoS) characteristics in integrated wireless telecardiology platforms. It will also discuss the current promising hardware/software platforms for wireless cardiac monitoring. The design methodology and challenges are provided for realistic implementation