Michael Boniface

University of Southampton · Department of Electronics and Computer Science (ECS)

Background Multimorbidity is a major challenge to health and social care systems around the world. There is limited research exploring the wider contextual determinants that are important to improving care for this cohort. In this study, we aimed to elicit and prioritise determinants of improved care in people with multiple conditions. Methods A t...

Objective: Social, biological and environmental factors in early-life, defined as the period from preconception until age 18, play a role in shaping the risk of multiple long-term condition multimorbidity. However, there is a need to conceptualise these early-life factors, how they relate to each other, and provide conceptual framing for future re...

Introduction: Multiple Long Term Conditions (MLTC) are a major challenge to health and social care systems around the world. There is limited research exploring the wider contextual determinants that are important to improving care for people living with MLTC. In this study, we aimed to elicit and prioritise determinants of improved care in people...

Objectives: The prevalence of multiple long-term condition (LTC) multimorbidity is increasing with younger onset among socioeconomically deprived populations. Research on life course trajectories towards multimorbidity is limited and early-onset multimorbidity poorly characterised. Understanding sentinel conditions (the first LTC occurring in the...

This report summarises the results from engagement with one of the DARE UK PRiAM project’s key stakeholders: the general public. The aim of DARE UK PRiAM has been work towards a standard privacy risk assessment framework for those seeking to operate a secure, trusted infrastructure environment within cross-council collaborative research networks. T...

Trustworthy and collaborative data sharing and re-usage for approved research purposes can help to advance public health and patient care. Data and analytics systems are changing and new ways to share and access data are emerging, including the potential for greater federation of resources and services. These changes are bringing about new and evol...

This report is Deliverable 3 (D3) “PRiAM Privacy Risk Framework Application Guide” of the DARE UK PRiAM project. The report is one in a series of four project reports, which focus on working towards standardisation of privacy risk assessment for cross-domain access and re-use of sensitive data for research purposes. This report describes how to aut...

Sharing data for research, when carried out responsibly, can have huge public benefits. However, without appropriate protections in place, institutions risk losing the trust of individuals. Hence, privacy risk assessment should be baked into the decision-making processes for sharing or providing access to data. The current approaches for assessing...

Trustworthiness is typically regarded as a desirable feature of national identification systems (NISs); but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally trustworthy to all actual and potential trustors. This worry is accentuated by common theoretical acc...

Trustworthiness is typically regarded as a desirable feature of national identification systems (NISs); but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally trustworthy to all actual and potential trustors. This worry is accentuated by common theoretical acc...

The System Security Modeller (SSM) automates much of a cyber-security risk assessment. As well as looking for cyber threats it will also check for compliance (e.g. GDPR). It follows the process of ISO 27005 and thereby supports ISO 27001 compliance.

Background The occurrences of acute complications arising from hypoglycemia and hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own care. Continuous glucose monitoring (CGM) devices provide real-time glucose readings enabling users to manage their control proactively. Machine learning algorithms can use CGM data...

Background The occurrences of acute complications arising from hypoglycaemia and hyperglycaemia peak as young adults with type 1 diabetes (T1D) take control of their own care. Continuous glucose monitoring (CGM) devices provide real-time blood glucose readings enabling users to manage their control pro-actively. Machine learning algorithms can use...

Background: Self-reporting digital apps provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these apps in prognostic models could provide increased personalization of care and reduce the burden of care for people who live with chronic conditions. This study evaluated...

Trustworthiness is typically regarded as a desirable feature of national identification systems, but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally trustworthy to all actual and potential trustors. This worry is accentuated by common theoretical accounts o...

A key task of emergency departments is to promptly identify patients who require hospital admission. Early identification ensures patient safety and aids organisational planning. Supervised machine learning algorithms can use data describing historical episodes to make ahead-of-time predictions of clinical outcomes. Despite this, clinical settings...

Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance can help reduce the number of patients with missed or undertreated illness or injury, and could support appropriate discharges with focused interventions. In this manuscript we present a retrospective,...

Background Evidence suggests that the sequence of accrual of conditions varies considerably and affects outcomes. We aimed to explore whether sentinel conditions (the first long-term condition occurring in the life course) and accrual sequences of long-term conditions in the development of early onset multimorbidity can be characterised using birth...

BACKGROUND Multiple long-term health conditions (Multimorbidity) (MLTC-M) are increasingly prevalent and associated with high rates of morbidity, mortality and health-care expenditure. Strategies to tackle this have primarily focused on addressing biological aspects of disease, but MLTC-M are also the result of and associated with additional psycho...

Background: Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalent and associated with high rates of morbidity, mortality, and health care expenditure. Strategies to address this have primarily focused on the biological aspects of disease, but MLTC-M also result from and are associated with additional psychosocia...

p>To realise the benefits of health and social care transformation for communities and individuals, we need strong multi-disciplinary and cross-organisational understanding of how data sharing initiatives-both existing and emerging (e.g., data collaboratives, data foundations, data trusts)-support multi-party sharing of regulated data in ways that...

This paper discusses the Facility for Large-scale Adaptive Media Experimentation (FLAME) Platform, a Servicebased Architecture that demonstrates the concept of cloud native service orchestration and routing for media applications. This enables automated provisioning and management of microservices delivering a service function chain, which affords...

Turning the wealth of health and social data into insights to promote better public health, whilst enabling more effective personalised care, is critically important for society. In particular, social determinants of health have a significant impact on individual health, well-being, and inequalities in health. However, concerns around accessing and...

Background: COVID-19 has placed unprecedented demands on hospitals. A clinical service, COVID Oximetry @home (CO@h) was launched in November 2020 to support remote monitoring of COVID-19 patients in the community. Remote monitoring through CO@h aims to identify early patient deterioration and provide timely escalation for cases of silent hypoxia, w...

Background COVID-19 has placed unprecedented demands on hospitals. A clinical service, COVID-19 Oximetry @home (CO@h) was launched in November 2020 to support remote monitoring of COVID-19 patients in the community. Remote monitoring through CO@h aims to identify early patient deterioration and provide timely escalation for cases of silent hypoxia,...

Supervised machine learning algorithms deployed in acute healthcare settings use data describing historical episodes to predict clinical outcomes. Clinical settings are dynamic environments and the underlying data distributions characterising episodes can change with time (a phenomenon known as data drift), and so can the relationship between episo...

Supervised machine learning algorithms deployed in acute healthcare settings use data describing historical episodes to predict clinical outcomes. Clinical settings are dynamic environments and the underlying data distributions characterising episodes can change with time (a phenomenon known as data drift), and so can the relationship between episo...

BACKGROUND Self-reporting digital apps provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these apps in prognostic models could provide increased personalization of care and reduce the burden of care for people who live with chronic conditions. This study evaluated t...

Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance can help reduce the number of patients with missed or undertreated illness or injury, and could support appropriate discharges with focused interventions. In this manuscript we present a retrospective,...

Background Self-reporting digital applications provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these applications in prognostic models could provide increased personalisation of care and reduce the burden of care for people who live with chronic conditions. This s...

Background: Self-reporting digital applications provide a way of remotely monitoring and managing patients with chronic conditions in the community. Leveraging the data collected by these applications in prognostic models could provide increased personalisation of care and reduce the burden of care for people who live with chronic conditions. This...

Background The early identification of deterioration in suspected COVID-19 patients managed at home enables a more timely clinical intervention, which is likely to translate into improved outcomes. We undertook an analysis of COVID-19 patients conveyed by ambulance to hospital to investigate how oxygen saturation and measurements of other vital sig...

Robust data-driven insights are critical for the design, adaptation, and improvement of clinical and operational management policies governing care pathways and resource models. However, understanding the requirements for data and analysis can be challenging when faced with disruptive innovations that offer new or reconfigured services such as COVI...

This report provides avision is to improve public health and patient care through responsible data access, collaboration and (re-)usage across academia, the public sector and industry by removing barriers and accelerating existing processes whilst maintaining the highest standards for data governance and security. At the centre of this aspiration l...

b>Background The early identification of deterioration in suspected COVID-19 patients managed at home enables a more timely clinical intervention, which is likely to translate into improved outcomes. We undertook an analysis of COVID-19 patients conveyed by ambulance to hospital to investigate how oxygen saturation and measurements of other vital s...

Unexpected election outcomes in recent years has led to mounting interest in the effects of online phenomena such as the selective propagation of misinformation, the formation of so-called echo chambers, and the exploitation of digital media by extremist groups. The digital citizen is therefore increasingly exposed to bias undermining the key assum...

Operators have been adopting the cloud‐native paradigm for the roll‐out of 5G architecture. With it goes the introduction of the service‐based architecture as a key design pattern for realizing future control‐ and ultimately user‐planes of mobile networks. The main benefits of this new design pattern are increased flexibility, meaning new business...

The adoption of 5G promises low latency and high throughput, greater adaptability of highly distributed compute and storage infrastructure, as well as configuration and management of a wide range of network services. This paradigm shift in network operations and usage results in a tighter integration of the infrastructure with the platform that all...

When deploying a digital media service on the FLAME platform, you are placing it in a responsive environment that reacts (using behaviours you have defined) in real-time to metrics of interest to you. Considering this behaviour as a continuous cycle of optimization in which your target user experience (UX) is negotiated with the most efficient use...

Introduction: With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology...

Today, users want more engaging and meaningful media experiences, especially localized to their context and community. Physical and virtual spaces are colliding, allowing mobile users to move between increasingly interactive and content-rich spaces, and to participate in co-creation of experiences that bring together digital and physical worlds. Us...

Operators have been adopting the cloud-native paradigm for the rollout of 5G architecture. With it goes the introduction of the service-based architecture as a key design pattern for realizing future control, and ultimately user planes of mobile networks. The main benefits of this new design pattern are the increased flexibility to address new busi...

This document is the outcome of a joined working group setup between the two European Technology Platforms, New European Media (NEM) and Networld2020. The objective was to combine expertise from the media sector which brought application requirements and the network domain which brought expertise in 5G. Nine media&content use cases have been identi...

This report is the second technology roadmap for a ground-breaking media service delivery platform being developed by the FLAME project. The report describes the software products to be delivered at infrastructure, platform and media service layers and how combinations of products are used to exploit the benefits of highly distributed software-defi...

There is good evidence that children’s prosocial skills are positively associated with health, well-being, and academic outcomes. Games-based approaches have demonstrated strong potential for teaching prosocial skills in both digital and non-digital formats. However, much of this research focuses on middle-childhood and adolescence and is based on...

The design of real-time interactive systems must consider how experience, performance and cost is influenced by the allocation of compute, storage and network resources necessary to process and delivery services and content. This report outlines the general challenges for service developers designing interactive systems and how the FLAME service de...

Mobile broadband communication has pervaded the communication market, responding to the most common and compelling nowadays users’ needs for continued connectivity, fast browsing and audio/video streaming on handheld portable devices. Building on the 4G success through LTE and LTE-Advanced together with recent deployments in large-scale country-wid...

This report provides the FLAME Future Media Internet (FMI) vision in 2019. The vision considers the evolving landscape of media services and technological paradigms that inspire 5G. The deliverable provides updated descriptions of FLAME partner validation scenarios and media service use cases, which leverage the content delivery optimizations provi...

As has been seen over the last quarter-century, the Internet is a social revolution and has had huge benefits. It is also a huge social experiment that is still ongoing, and civilisation is finding its way through the mass of opportunities, issues and threats that the immediate and ubiquitous communication the Internet offers. This document aims t...

This report provides the second version of the FLAME platform architecture and infrastructure specification. It outlines therefore the blueprint that forms the basis for further specification but more importantly the implementation work towards a deployable FLAME platform within the infrastructures of Bristol and Barcelona, and other sites. The rep...

The Internet provides fast and ubiquitous communication that enables all kinds of communities and provides citizens with easy access to vast amounts of information, although the information is not necessarily verified and may present a distorted view of real events or facts. The Internet’s power as an instant source of mass information can be used...

The Internet provides fast and ubiquitous communication that enables all kinds of communities and provides citizens with easy access to vast amounts of information, although the information is not necessarily verified and may present a distorted view of real events or facts. The Internet’s power as an instant source of mass information can be used...

This document’s purpose is to provide input into the advisory processes that determine European support for both research into Responsible AI; and how innovation using AI that takes into account issues of responsibility can be supported. “Responsible AI” is an umbrella term for investigations into legal, ethical and moral standpoints of autonomous...

ProsocialLearn is a digital pro-social games platform. ProsocialLearn consortium aims at delivering a series of disruptive innovations for the production and distribution of pro-social digital games that engage children (7-10 years old), as well as stimulate technology transfer from the games industry to the educational sector. ProsocialLearn will...

This deliverable summarises the current work concerning three related topics following on from D2.1: gap analysis to determine subject areas for further consultation; methods, practice and initial results from two consultations in different subject areas; and how researchers and innovators can be supported to create beneficial and effective solutio...

This report is the first technology roadmap for a ground-breaking media service delivery platform being developed by the FLAME project. The report describes the software products to be delivered at infrastructure, platform and media service layers and how combinations of products are used to exploit the benefits of highly distributed software-defin...

D3.3 provides the first version of the FLAME platform architecture and infrastructure specification. It outlines therefore the blueprint that forms the basis for further specification work in WP3 but more importantly the implementation work in WP4 towards a deployable FLAME platform within the infrastructures of Bristol-Is-Open and Barcelona. D3.3...

ProsocialLearn is a digital pro-social games platform. ProsocialLearn consortium aims at delivering a series of disruptive innovations for the production and distribution of pro-social digital games that engage children (7-10 years old), as well as stimulate technology transfer from the games industry to the educational sector. ProsocialLearn will...

The purpose of this deliverable is to determine the key themes pertaining to the next generation of the Internet extracted from recent existing NGI consultation sources, so as to provide a baseline for further consultation in later phases of HUB4NGI. This deliverable provides a synthesis of recent sources of different types, from consultation docum...

Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transforme...

The Internet-of-Things (IoT) [61] has been identified as one of the main pillars of the world’s economies and the technology enabler for the evolution of the societies and for the future developments and improvement of the Internet [4]. A large number of research activities in Europe have been working in this direction i.e. FP7 projects in the cont...

New media applications and services are revolutionising social interaction and user experience in both society and in wide ranging industry sectors. The rapid emergence of pervasive human and environment sensing technologies, novel immersive presentation devices and high performance, globally connected network and cloud infrastructures is generatin...

The demand for ways to explore and understand how applications and services behave in a shared software defined infrastructures is increasing. Completely new applications are emerging, alongside “Big Data” and the convergence of services with mobile networks and the Internet of Things (IoT) all exploiting Cloud scalability and flexibility along wit...

The Internet as we know it today is a critical infrastructure composed by communication services and end-user applications transforming all aspects of our lives. Recent advances in technology and the inexorable shift towards everything connected are creating a data-driven society where productivity, knowledge, and experience are dependent on increa...