Research has shown that physical activity is essential in the prevention and treatment of chronic diseases like cardiovascular disease (CVD). Smart wearables (e.g., smartwatches) are increasingly used to foster and monitor human behaviour, including physical activity. However, despite this increased usage, little evidence is available on the effects of smart wearables in behaviour change. The little research which is available typically focuses on the behaviour of healthy individuals rather than patients. In this study, we investigate the effects of using smart wearables by patients undergoing cardiac rehabilitation. A field experiment involving 29 patients was designed and participants were either assigned to the study group (N = 13 patients who finished the study and used a self-tracking device) or the control group (N = 16 patients who finished the study and did not use a device). For both groups data about physiological performance during cardiac stress test was collected at the beginning (baseline), in the middle (in week 6, at the end of the rehabilitation in the organized rehabilitation setting), and at the end of the study (after 12 weeks, at the end of the rehabilitation, including the organized rehabilitation plus another 6 weeks of self-organized rehabilitation). Comparing the physiological performance of both groups, the data showed significant differences. The participants in the study group not only maintained the same performance level as during the midterm examination in week 6, they improved performance even further during the six weeks that followed. The results presented in this paper provide evidence for positive effects of digital self-tracking by patients undergoing cardiac rehabilitation on performance of the cardiovascular system. In this way, our study provides novel insight about the effects of the use of smart wearables by CVD patients. Our findings have implications for the design of self-management approaches in a patient rehabilitation setting. In essence, the use of smart wearables can prolong the success of the rehabilitation outside of the organized rehabilitation setting.

As a part of their digital transformation, municipalities across Europe have taken initiatives to support Open Data platforms and provide services leveraging on data. This challenges the traditional business driven IT strategy promoted by several Enterprise Architecture methodologies, which are designed to operate within a single enterprise that has a complete overview of its data and ICT systems. We envisage scenarios where public and private collaborative networks provide value added services to its citizens by leveraging on data. In this paper, we propose an Enterprise Architecture Framework for Cities to support them maneuvre smartly within their data space to create value added services through a variety of collaborative networks or Virtual Enterprises that bridge organisational boundaries. The novel elements of this Enterprise Architecture Framework are a DataxChange, the Value-Added Services and Virtual Enterprise layers. This work has been conducted within the EU H2020 Smart City project +CityxChange.

Purpose-The purpose of this paper is to outline a framework for analyzing healthcare process management projects. By using this framework, it seeks to analyze a system implementation in Ireland. The system aims to standardize healthcare human resource and payroll for the Irish healthcare sector. Design/methodology/approach-A popular system and business process implementation is analyzed in Ireland. The research intends to use this case scenario to identify success and failure, which in turn forms the basis to propose a conceptual reference method for introducing healthcare process management. Findings-The healthcare sector has shown that it has, compared with other sectors, a relatively underdeveloped information system structure. In this context, the importance of reducing healthcare costs and streamlining workflows, processes, and care pathways is ever more seriously recognized. However, despite the importance of process management, currently, internationally very few guidelines are provided for introducing healthcare process management in hospitals. Practical implications-The paper provides a good example of a large-scale, nationwide business process management (BPM) project; shows the different facets of BPM success factors; and helps to raise awareness for both managerial factors and domain-inherent, structural, and content factors. Originality/value-The analysis revealed some interesting results. The reasons for failure in healthcare are rather more content and structural in nature than solely project management issues.

Explainable Artificial Intelligence (XAI) develops technical explanation methods and enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine learning (ML) models provide certain predictions. However, the trust of those stakeholders into AI models and explanations is still an issue, especially domain experts, who are knowledgeable about their domain but not AI inner workings. Social and user-centric XAI research states it is essential to understand the stakeholder's requirements to provide explanations tailored to their needs, and enhance their trust in working with AI models. Scenariobased design and requirements elicitation can help bridge the gap between social and operational aspects of a stakeholder early before the adoption of information systems and identify its real problem and practices generating user requirements. Nevertheless, it is still rarely explored the adoption of scenarios in XAI, especially in the domain of fraud detection to supporting experts who are about to work with AI models. We demonstrate the usage of scenario-based requirements elicitation for XAI in a fraud detection context, and develop scenarios derived with experts in banking fraud. We discuss how those scenarios can be adopted to identify user or expert requirements for appropriate explanations in his daily operations and to make decisions on reviewing fraudulent cases in banking. The generalizability of the scenarios for further adoption is validated through a systematic literature review in domains of XAI and visual analytics for fraud detection.

Managing the complexity of the Information and Communications Technology (ICT) services in smart cities raises a need to use enterprise architecture frameworks to solve the complexity issues. However, the majority of the existing enterprise architecture frameworks have been developed to address the concerns and issues of the stakeholders in their associated world. To address challenges including complexity, multi-stakeholders and the serviceoriented nature of smart cities, this paper presents an enterprise architecture framework that can be used as a way to manage enterprise architectures in smart cities. This framework focuses on establishing contextual requirements and definitions for smart city systems and services. In contrast to other approaches, in this paper we focus on two important layers, i.e., context layer and service layer, as well as their relationships. The framework is valuable in developing smart services. It also contributes to the understanding of smart city enterprise architectures.