Norton Healthcare: A Strong Payer-Provider Partnership for the Journey to Accountable Care

Examines the progress of an integrated healthcare delivery system in forming an accountable care organization with payer partners as part of the Brookings-Dartmouth ACO Pilot Program, including a focus on performance measurement and reporting

Redesign and innovation in hospitals: foundations to making it happen

This paper describes key features of hospital redesign processes in Australia by analysing Victorian, NSW and other models. It discusses frameworks and drivers of large scale change in health systems including challenges and barriers to success.  The use of systems thinking and institutional entrepreneurship to support achieving change is described.   Insights are provided to enable policy development that can support innovation and system redesign. What is the problem? Australia\u27s demand for healthcare services is escalating, driven by an ageing population with complex health care needs, rising rates of chronic illness, increasing health care costs and rapid information technology innovation. These pressures may not be adequately met within the health system\u27s current and future economic capacity. Therefore, healthcare services and systems must achieve wide-ranging reform and redesign if they are to meet these challenges. The key questions for those working as health services leaders are: how can we support the innovation and change required to address this reality? and what should national policy makers do to support this work? What does the evidence say? Considerable evidence describes overlapping aspects of successful redesign in hospitals. These include: leadership to achieve change; the use of data to monitor and evaluate change; coherent alignment to organisational strategic plans; the development of organisational culture that is ready for change; and ensuring integration of change into routine practice. Systems thinking and institutional entrepreneurship offer approaches to change and redesign that take into consideration networks and relationships of individuals, teams and clinical disciplines working within it, resources and current processes and the cultural context of the organisation. What does this mean for health service leaders? In order to fully meet the requirements for redesign and innovation, health service leaders will need to address a number of key areas. First and foremost, leaders need to develop their organisational strategic vision around the concept of redesign and innovation and build staff understanding of the importance of these concepts. Staff must be given the capacity and confidence to pursue meaningful change in their everyday operations. Leaders must recognise the benefits of data and analytics and support the development of systems to utilise these tools. Innovative practices from outside of the health sector should be studied and adapted, and partnerships with industry and academia must be pursued. What does this mean for policy makers? Policy makers need to commit to investment in the concept of redesign and innovation. They should consider funding models that reward health services for innovation. Policy makers must support health services to pursue and sustain meaningful change while recognising that transformation requires time, perseverance and willingness to learn from success and failure

Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration

There is increasing reliance on video surveillance systems for systematic derivation, analysis and interpretation of the data needed for predicting, planning, evaluating and implementing public safety. This is evident from the massive number of surveillance cameras deployed across public locations. For example, in July 2013, the British Security Industry Association (BSIA) reported that over 4 million CCTV cameras had been installed in Britain alone. The BSIA also reveal that only 1.5% of these are state owned. In this paper, we propose a framework that allows access to data from privately owned cameras, with the aim of increasing the efficiency and accuracy of public safety planning, security activities, and decision support systems that are based on video integrated surveillance systems. The accuracy of results obtained from government-owned public safety infrastructure would improve greatly if privately owned surveillance systems ‘expose’ relevant video-generated metadata events, such as triggered alerts and also permit query of a metadata repository. Subsequently, a police officer, for example, with an appropriate level of system permission can query unified video systems across a large geographical area such as a city or a country to predict the location of an interesting entity, such as a pedestrian or a vehicle. This becomes possible with our proposed novel hierarchical architecture, the Fused Video Surveillance Architecture (FVSA). At the high level, FVSA comprises of a hardware framework that is supported by a multi-layer abstraction software interface. It presents video surveillance systems as an adapted computational grid of intelligent services, which is integration-enabled to communicate with other compatible systems in the Internet of Things (IoT)

Leveraging Big Data Analytics to Improve Quality of Care In Health Care: A fsQCA Approach

Academics across disciplines such as information systems, computer science and healthcare informatics highlight that big data analytics (BDA) have the potential to provide tremendous benefits for healthcare industries. Nevertheless, healthcare organizations continue to struggle to make progress on their BDA initiatives. Drawing on the configuration theory, this paper proposes a conceptual framework to explore the impact of BDA on improving quality of care in health care. Specifically, we investigate how BDA capabilities interact with complementary organizational resources and organizational capabilities in multiple configurations to achieve higher quality of care. Fuzzy-set qualitative comparative analysis (fsQCA), which is a relatively new approach, was employed to identify five different configurations that lead to higher quality of care. These findings offer evidence to suggest that a range of solutions leading to better healthcare performance can indeed be identified through the effective use of BDA and other organizational elements

Creating business value from big data and business analytics : organizational, managerial and human resource implications

This paper reports on a research project, funded by the EPSRC’s NEMODE (New Economic Models in the Digital Economy, Network+) programme, explores how organizations create value from their increasingly Big Data and the challenges they face in doing so. Three case studies are reported of large organizations with a formal business analytics group and data volumes that can be considered to be ‘big’. The case organizations are MobCo, a mobile telecoms operator, MediaCo, a television broadcaster, and CityTrans, a provider of transport services to a major city. Analysis of the cases is structured around a framework in which data and value creation are mediated by the organization’s business analytics capability. This capability is then studied through a sociotechnical lens of organization/management, process, people, and technology. From the cases twenty key findings are identified. In the area of data and value creation these are: 1. Ensure data quality, 2. Build trust and permissions platforms, 3. Provide adequate anonymization, 4. Share value with data originators, 5. Create value through data partnerships, 6. Create public as well as private value, 7. Monitor and plan for changes in legislation and regulation. In organization and management: 8. Build a corporate analytics strategy, 9. Plan for organizational and cultural change, 10. Build deep domain knowledge, 11. Structure the analytics team carefully, 12. Partner with academic institutions, 13. Create an ethics approval process, 14. Make analytics projects agile, 15. Explore and exploit in analytics projects. In technology: 16. Use visualization as story-telling, 17. Be agnostic about technology while the landscape is uncertain (i.e., maintain a focus on value). In people and tools: 18. Data scientist personal attributes (curious, problem focused), 19. Data scientist as ‘bricoleur’, 20. Data scientist acquisition and retention through challenging work. With regards to what organizations should do if they want to create value from their data the paper further proposes: a model of the analytics eco-system that places the business analytics function in a broad organizational context; and a process model for analytics implementation together with a six-stage maturity model

Internet of things

Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things(IoT)emergedasaholisticproposaltoenableanecosystemofvaried,heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth

More effective social services

In June 2014, the Productivity Commission was asked to look at ways to improve how government agencies commission and purchase social services. The final report was released in mid-September 2015. It makes several recommendations about how to make social services more responsive, client-focused, accountable and innovative. The final inquiry report has two key messages. First, system-wide improvement can be achieved and should be pursued. Second, New Zealand needs better ways to join up services for those with multiple, complex needs. Capable clients should be empowered with more control over the services they receive. Those less capable need close support and a response tailored to their needs, without arbitrary distinctions between services and funds divided into “health”, “education”, etc. These are significant, but extremely worthwhile, changes for New Zealand