Telemonitoring Devices and Systems: Current Status and Future Trends

In the future, the number of elderly and chronically ill will be quite large. Additionally, pathologies will in many cases be in comorbidity. Alongside this reality, the health care resources will be insufficient for the population, thus the current research for solutions that can be fully implemented in the future. There are available several telemonitoring devices and systems for chronic diseases. Massive use of these devices will be essential to address the current and future lack of health system resources. Research on telemonitoring devices and systems for chronic diseases was con-ducted in academic and scientific databases. The technical specifications were collected in the manufacturers’ web page. The gathered data was analysed and compared in order to propose scenarios for the future trend of technical specifi-cations required in telemonitoring devices/system is performed. Telemonitoring for chronic diseases can bring great benefits to patient and health systems. Widening this practice will be a reality in the near future. This procedure will be fostered by the promotion and regulation of interoperability between de-vices/systems, as well as of front-end programs providing the link between health support systems. Interoperability issues are the main flaw of tedevicesring devices/systems on the market today.info:eu-repo/semantics/publishedVersio

Telemonitoring Devices and Systems: Current Status and Future Trends

In the future, the number of elderly and chronically ill will be quite large. Additionally, pathologies will in many cases be in comorbidity. Along with this reality, the health care resources will be insufficient for the population, thus the current research for technological solutions needs to be implemented in the future. There are available several telemonitoring devices and systems for chronic diseases. Massive use of these devices will be essential to address the current and future lack of health system resources. Research on telemonitoring devices and systems for chronic diseases was conducted in academic and scientific databases. The technical specifications were collected from the manufacturers’ web page. The collected data was analysed and compared in order to propose scenarios for the future trend of technical specifications required in telemonitoring devices/system. Telemonitoring for chronic diseases can bring great benefits to patient and health systems. Widening this practice will be a reality in the near future. This procedure will be fostered by the promotion and regulation of interoperability between devices/systems, as well as of front-end programs providing the link between health support systems. Interoperability issues are the main flaws of telemonitoring devices/systems on the market today.info:eu-repo/semantics/publishedVersio

Hardware Prototype for Wrist-Worn Simultaneous Monitoring of Environmental, Behavioral, and Physiological Parameters

We designed a low-cost wrist-worn prototype for simultaneously measuring environmental, behavioral, and physiological domains of influencing factors in healthcare. Our prototype continuously monitors ambient elements (sound level, toxic gases, ultraviolet radiation, air pressure, temperature, and humidity), personal activity (motion tracking and body positioning using gyroscope, magnetometer, and accelerometer), and vital signs (skin temperature and heart rate). An innovative three-dimensional hardware, based on the multi-physical-layer approach is introduced. Using board-to-board connectors, several physical hardware layers are stacked on top of each other. All of these layers consist of integrated and/or add-on sensors to measure certain domain (environmental, behavioral, or physiological). The prototype includes centralized data processing, transmission, and visualization. Bi-directional communication is based on Bluetooth Low Energy (BLE) and can connect to smartphones as well as smart cars and smart homes for data analytic and adverse-event alerts. This study aims to develop a prototype for simultaneous monitoring of the all three areas for monitoring of workplaces and chronic obstructive pulmonary disease (COPD) patients with a concentration on technical development and validation rather than clinical investigation. We have implemented 6 prototypes which have been tested by 5 volunteers. We have asked the subjects to test the prototype in a daily routine in both indoor (workplaces and laboratories) and outdoor. We have not imposed any specific conditions for the tests. All presented data in this work are from the same prototype. Eleven sensors measure fifteen parameters from three domains. The prototype delivers the resolutions of 0.1 part per million (PPM) for air quality parameters, 1 dB, 1 index, and 1 °C for sound pressure level, UV, and skin temperature, respectively. The battery operates for 12.5 h under the maximum sampling rates of sensors without recharging. The final expense does not exceed 133€. We validated all layers and tested the entire device with a 75 min recording. The results show the appropriate functionalities of the prototype for further development and investigations

A Health Monitoring Application to Support Informal Caregivers of People with Cognitive Impairment

Informal caregivers of people with cognitive impairment are often concerned about the health and wellbeing of their loved ones, leading to frequent care-related visits, check-ups, and conversations. Results from focus groups we held in daily care showed a strong need for support in terms of information about the health and wellbeing of the person with cognitive impairment (PwCI). The health monitoring application developed in this study, called HELMA, aims to offer a solution by monitoring the health and wellbeing of the PwCI in the long term and informing the informal caregivers. HELMA is an eHealth application that uses short frequent online monitoring questions to provide informal caregivers with information about the following health and wellbeing domains: physical; mental; social; and environmental. The next step is to evaluate HELMA on a large scale with end-users in daily practice

SPARC 2018 Internationalisation and collaboration : Salford postgraduate annual research conference book of abstracts

Welcome to the Book of Abstracts for the 2018 SPARC conference. This year we not only celebrate the work of our PGRs but also the launch of our Doctoral School, which makes this year’s conference extra special. Once again we have received a tremendous contribution from our postgraduate research community; with over 100 presenters, the conference truly showcases a vibrant PGR community at Salford. These abstracts provide a taster of the research strengths of their works, and provide delegates with a reference point for networking and initiating critical debate. With such wide-ranging topics being showcased, we encourage you to take up this great opportunity to engage with researchers working in different subject areas from your own. To meet global challenges, high impact research inevitably requires interdisciplinary collaboration. This is recognised by all major research funders. Therefore engaging with the work of others and forging collaborations across subject areas is an essential skill for the next generation of researchers

Identifying those at risk of depression following a diagnosis of Acute Coronary Syndrome: developing a screening intervention for use in the acute care hospital setting

Identifying patients at risk of developing depression following a diagnosis of acute coronary syndrome is a new strategy that creates an important opportunity for the provision of early psychological support at a critical phase in a patient’s recovery. The aim of this research programme was to develop a brief depression risk assessment instrument for use by nurses in the clinical setting and test its psychometric properties using a mixed method approach

Helping patients attain and maintain asthma control: reviewing the role of the nurse practitioner

Nurse practitioners (NPs) have a unique opportunity as frontline caregivers and patient educators to recognize, assess, and effectively treat the widespread problem of uncontrolled asthma. This review provides a perspective on the role of the NP in implementing the revised National Asthma Education and Prevention Program (NAEPP) Guidelines put forth by the National Heart, Lung, and Blood Institute, thereby helping patients achieve and maintain asthma control. A literature search of PubMed was performed using the terms asthma, nurse practitioner, asthma control, burden, impact, morbidity, mortality, productivity, quality of life, uncontrolled asthma, NAEPP guidelines, assessment, pharmacotherapy, safety. Despite the increased morbidity and mortality and impaired quality of life attributable to uncontrolled asthma, the 2007 NAEPP asthma guidelines are greatly underused. NPs have an opportunity to identify patients at risk and provide enhanced care and education for asthma control. Often, NPs can prescribe medication for and manage these patients, but it is necessary to be able to discern which patients require referral to a specialist

Towards a tricorder: clinical, health economic, and ethical investigation of point-of-care artificial intelligence electrocardiogram for heart failure

Heart failure (HF) is an international public health priority and a focus of the NHS Long Term Plan. There is a particular need in primary care for screening and early detection of heart failure with reduced ejection fraction (HFrEF) – the most common and serious HF subtype, and the only one with an abundant evidence base for effective therapies. Digital health technologies (DHTs) integrating artificial intelligence (AI) could improve diagnosis of HFrEF. Specifically, through a convergence of DHTs and AI, a single-lead electrocardiogram (ECG) can be recorded by a smart stethoscope and interrogated by AI (AI-ECG) to potentially serve as a point-of-care HFrEF test. However, there are concerning evidence gaps for such DHTs applying AI; across intersecting clinical, health economic, and ethical considerations. My thesis therefore investigates hypotheses that AI-ECG is 1.) Reliable, accurate, unbiased, and can be patient self-administered, 2.) Of justifiable health economic impact for primary care deployment, and 3.) Appropriate across ethical domains for deployment as a tool for patient self-administered screening. The theoretical basis for this work is presented in the Introduction (Chapter 1). Chapter 2 describes the first large-scale, multi-centre independent external validation study of AI-ECG, prospectively recruiting 1,050 patients and highlighting impressive performance: area under the curve, sensitivity, and specificity up to 0·91 (95% confidence interval: 0·88–0·95), 91·9% (78·1–98·3), and 80·2% (75·5–84·3) respectively; and absence of bias by age, sex, and ethnicity. Performance was independent of operator, and usability of the tool extended to patients being able to self-examine. Chapter 3 presents a clinical and health economic outcomes analysis using a contemporary digital repository of 2.5 million NHS patient records. A propensity-matched cohort was derived using all patients diagnosed with HF from 2015-2020 (n = 34,208). Novel findings included the unacceptable reality that 70% of index HF diagnoses are made through hospitalisation; where index diagnosis through primary care conferred a medium-term survival advantage and long-term cost saving (£2,500 per patient). This underpins a health economic model for the deployment of AI-ECG across primary care. Chapter 4 approaches a normative ethical analysis focusing on equity, agency, data rights, and responsibility for safe, effective, and trustworthy implementation of an unprecedented at-home patient self-administered AI-ECG screening programme. I propose approaches to mitigating any potential harms, towards preserving and promoting trust, patient engagement, and public health. Collectively, this thesis marks novel work highlighting AI-ECG as tool with the potential to address major cardiovascular public health priorities. Scrutiny through complimentary clinical, health economic, and ethical considerations can directly serve patients and health systems by blueprinting best-practice for the evaluation and implementation of DHTs integrating AI – building the conviction needed to realise the full potential of such technologies.Open Acces