Network-assisted Smart Access Point Selection for Pervasive Real-time mHealth Applications

AbstractDue to the fast evolution of wireless access networks and high-performance mobile devices together with the spreading of wearable medical sensors, electronic healthcare (eHealth) services have recently started to receive more and more attention, especially in the mobile Health (mHealth) domain. The vast majority of mHealth services require strict medical level Quality of Service (QoS) and Quality of Experience (QoE) provision. Emergency use-cases, remote patient monitoring, tele-consultation and guided surgical intervention require real-time communication and appropriate connection quality. The increasing significance of different overlapping wireless accesses makes possible to provide the required network resources for ubiquitous and pervasive mHealth applications. Aiming to support such use-cases in a heterogeneous network environment, we propose a network-assisted intelligent access point selection scheme for ubiquitous applications of Future Internet architectures focusing on real-time mobile telemedicine services. Our solution is able to discover nearby base stations that cover the current location of the mobile device efficiently and to trigger heterogeneous handovers based on the state and quality of the current access network. The solution is empirically evaluated in Wi-Fi networks used by real-life Android mobile devices and we observed that the scheme can improve the quality of mHealth applications and enhance traffic load balancing capabilities of wireless architectures

Using a Mobile Multimedia System to Improve Information Exchange in EMS.

This research uses multiple research methodologies guided by Information Systems Design Theory (ISDT) to design and evaluate a mobile multimedia information system for Emergency Medical Services (EMS). We examined the impact of multimedia information for EMS information exchange and decision-making. A field study was designed and conducted in the Boise, Idaho region for three months to evaluate the system and validate ISDT design propositions. Findings from qualitative analysis illustrated the value of digital images and audio recordings for improving information exchange and augmenting medical decision-making. This paper describes the problem and justification, presents the system design, the pilot test methodology and findings and overall implications and future research directions

The Use of Data Collected from mHealth apps to inform Evidence-based Quality Improvement: An Integrative Review:Using data from mHealth apps to inform Evidence-based Quality Improvement

© 2019 Sigma Theta Tau International Background: The global acceptance and use of technology in health care has resulted in an abundance of mobile health (mHealth) applications (apps) available for use in the delivery and improvement of care. With so many apps available to patients and clinicians, it is important to understand how data from apps are being used to inform quality improvement in practice. Aim: The aim of this integrative review is to establish current knowledge of how mHealth apps are used to produce data to inform quality improvement in health care. Methods: Scopus, Web of Science, CINAHL, and Medline Plus Full Text databases were searched for peer-reviewed papers written in English. The inclusion criteria comprised of full-text, empirical research studies relating to mobile health application use (not development) in clinical care. Results: Nineteen studies met inclusion criteria. The functions of the apps outlined in the studies can be summarized into four different categories: communication, illness management, clinical management, and education/information. The types of data collected by the apps included numerical, textual, photographic, and graphical with several apps able to collect a variety of data types. Analysis of the studies showed that although data collection is rarely outlined as the explicit purpose of mHealth apps, data collected through such technology are and can be used to inform practice change both in real time and retrospectively. Linking Evidence to Action: This review highlights while this is an emerging area, data obtained from mHealth apps can and are being used to inform quality improvement in health care. Further research is required in this area to adequately understand how data from mHealth apps can be used to produce quality improvement, specifically in relation to nursing. This review also highlights a need for the development of apps that aim to capture data to inform quality improvement, particularly from the patient perspective

Managing the patient safety risks of bottom-up health information technology innovations : recommendations for healthcare providers

Health information technology (IT) offers exciting opportunities for providing novel services to patients, and for improving the quality and safety of care. However, the introduction of IT can lead to unintended consequences, and create opportunities for failure, which can have significant effects on patient safety. In this paper I argue that many health IT patient safety risks are probably quite predictable, but are often not considered at the time. This puts patients at risk, and it threatens the successful adoption of health IT. I recommend that healthcare providers focus on strengthening their processes for organisational learning, promote proactive risk management strategies, and make risk management decisions transparent and explicit

Usability-Focused Development and Usage of NeoTree-Beta, an App for Newborn Care in a Low-Resource Neonatal Unit, Malawi

Background: Neonatal mortality is high in low-resource settings. NeoTree is a digital intervention for neonatal healthcare professionals (HCPs) aiming to achieve data-driven quality improvement and improved neonatal survival in low-resource hospitals. Optimising usability with end-users could help digital health interventions succeed beyond pilot stages in low-resource settings. Usability is the quality of a user's experience when interacting with an intervention, encompassing their effectiveness, efficiency, and overall satisfaction. Objective: To evaluate the usability and usage of NeoTree beta-app and conduct Agile usability-focused intervention development. Method: A real-world pilot of NeoTree beta-app was conducted over 6 months at Kamuzu Central Hospital neonatal unit, Malawi. Prior to deployment, think-aloud interviews were conducted to guide nurses through the app whilst voicing their thoughts aloud (n = 6). System Usability Scale (SUS) scores were collected before the implementation of NeoTree into usual clinical care and 6 months after implementation (n = 8 and 8). During the pilot, real-world user-feedback and user-data were gathered. Feedback notes were subjected to thematic analysis within an Agile “product backlog.” For usage, number of users, user-cadre, proportion of admissions/outcomes recorded digitally, and median app-completion times were calculated. Results: Twelve overarching usability themes generated 57 app adjustments, 39 (68%) from think aloud analysis and 18 (32%) from the real-world testing. A total of 21 usability themes/issues with corresponding app features were produced and added to the app. Six themes relating to data collection included exhaustiveness of data schema, prevention of errors, ease of progression, efficiency of data entry using shortcuts, navigation of user interface (UI), and relevancy of content. Six themes relating to the clinical care included cohesion with ward process, embedded education, locally coherent language, adaptability of user-interface to available resources, and printout design to facilitate handover. SUS scores were above average (88.1 and 89.4 at 1 and 6 months, respectively). Ninety-three different HCPs of 5 cadres, recorded 1,323 admissions and 1,197 outcomes over 6 months. NeoTree achieved 100% digital coverage of sick neonates admitted. Median completion times were 16 and 8 min for admissions and outcomes, respectively. Conclusions: This study demonstrates optimisation of a digital health app in a low-resource setting and could inform other similar usability studies apps in similar settings

Exploring and improving the escalation of care process for deteriorating patients on surgical wards in UK hospitals

Despite impressive progress in technical skills, the rate of adverse events in surgery remains unfavourably high. The variation seen in surgical outcomes may be dependent on the quality of ward-based surgical care provided to post-operative patients with complications, specifically, the recognition, communication and response to patient deterioration. This process can be termed escalation of care and is an under-explored area of surgical research. This thesis demonstrates the impact of delays in the escalation of care process on patient outcome. The facilitators of, and barriers to, escalation of care are then identified and described in the context of the UK surgical department. In order to prioritise areas within the escalation of care process amenable to intervention, a systematic risk assessment was conducted revealing suboptimal communication technology and a lack of human factors education as key failures. To ensure that communication technology intervention was conducted based on evidence, several exploratory studies describe the current methods of communication in surgery and explore areas of innovation and intervention. Following this, a human factors intervention bundle was implemented within a busy surgical department, which successfully improved supervision, escalation of care and safety culture. This thesis describes, for the first time, escalation of care in surgery and outlines important strategies for intervention in this safety-critical process. To date, ward-based care has been one of the most under-researched areas in surgery, despite its clear importance. The tools to improve escalation of care in surgery have been described and initial attempts at implementation have demonstrated great promise. Future use of these strategies should benefit surgeons and other clinical staff of all grades and ultimately, the surgical patient.Open Acces

Business Case and Technology Analysis for 5G Low Latency Applications

A large number of new consumer and industrial applications are likely to change the classic operator's business models and provide a wide range of new markets to enter. This article analyses the most relevant 5G use cases that require ultra-low latency, from both technical and business perspectives. Low latency services pose challenging requirements to the network, and to fulfill them operators need to invest in costly changes in their network. In this sense, it is not clear whether such investments are going to be amortized with these new business models. In light of this, specific applications and requirements are described and the potential market benefits for operators are analysed. Conclusions show that operators have clear opportunities to add value and position themselves strongly with the increasing number of services to be provided by 5G.Comment: 18 pages, 5 figure

Virtual models of care for people with palliative care needs living in their own home: A systematic meta-review and narrative synthesis.

Background: Access to palliative care in the community enables people to live in their preferred place of care, which is often home. Community palliative care services struggle to provide timely 24-h services to patients and family. This has resulted in calls for ‘accessible and flexible’ models of care that are ‘responsive’ to peoples’ changing palliative care needs. Digital health technologies provide opportunities to meet these requirements 24-h a day. Aim: To identify digital health technologies that have been evaluated for supporting timely assessment and management of people living at home with palliative care needs and/or their carer(s), and the evidence-base for each. Design: A systematic review of systematic reviews (‘meta-review’). Systematic reviews evaluating evidence for virtual models of palliative or end-of-life care using one or more digital health technologies were included. Systematic reviews were evaluated using the Risk of Bias Tool for Systematic Reviews. A narrative approach was used to synthesise results. Data sources:Medline, Embase, Web of Science, CINAHL and Cochrane Database of systematic reviews were searched for English-language reviews published between 2015 and 2020. Results: The search yielded 2266 articles, of which 12 systematic reviews met criteria. Sixteen reviews were included in total, after four reviews were found via handsearching. Other than scheduled telehealth, video-conferencing, or after-hours telephone support, little evidence was found for digital health technologies used to deliver virtual models of palliative care. Conclusions: There are opportunities to test new models of virtual care, beyond telehealth and/or video conferencing, such as 24-h command centres, and rapid response teams