Identify facilitators and challenges in computerized checklist implementation

Safety checklists have been considered as a promising tool for improving patient safety for decades. Computerized checklists have better performance compared with paper-based checklists, though there are barriers to their adoption. Given previous literature, it is still unclear what assists implementations and their challenges. To address this issue, this paper summarizes the implementation of two successful computerized checklist implementations in two countries for two different clinical scenarios and analyzes their facilitators and challenges.</p

qualitative study

Funding Information: The authors wish to acknowledge the Erasmus+ Program of the European Union—Phoenix Joint doctoral program on Dynamics of Health and Welfare, Fraunhofer AICOS, and the Foundation for Science and Technology (individual research grant 2020.09045.BD)—for supporting CMS. The authors thank all participants and Elsa Oliveira and Ana Alves for their assistance with data collection and early analysis. Publisher Copyright: © 2022 JMIR Publications Inc.. All right reserved.Background: Despite the potential of digital mental health to provide cost-effective mental health care, its adoption in clinical settings is limited, and little is known about the perspectives and practices of mental health professionals regarding its implementation or the factors influencing these perspectives and practices. Objective: This study aims to characterize in depth the perspectives and practices of mental health professionals regarding the implementation of digital mental health and explore the factors affecting such perspectives and practices. Methods: A qualitative study using in-depth semistructured interviews with Portuguese mental health professionals (N=13)-psychologists and psychiatrists-was conducted. The transcribed interviews were thematically analyzed. Results: Mental health professionals deemed important or engaged in the following practices during the implementation of digital mental health: indication evaluation, therapeutic contract negotiation, digital psychological assessment, technology setup and management, and intervention delivery and follow-up. Low-threshold accessibility and professionals' perceived duty to provide support to their clients facilitated the implementation of digital mental health. Conversely, the lack of structured intervention frameworks; the unavailability of usable, validated, and affordable technology; and the absence of structured training programs inhibited digital mental health implementation by mental health professionals. Conclusions: The publication of practice frameworks, development of evidence-based technology, and delivery of structured training seem key to expediting implementation and encouraging the sustained adoption of digital mental health by mental health professionals.publishersversionpublishe

Creation of an Office of Surveillance and Epidemiology Training Knowledge Management System

Our team developed a training knowledge management system (KMS) for the United States Food and Drug Administration’s Office of Surveillance and Epidemiology using Microsoft’s SharePoint. Through research, on-site analysis, focus groups, and interviews, we investigated user needs and developed a taxonomic search structure and KMS shell site. The site centralizes training courses and permits supervisory and individual tracking, which were key needs identified by staff and supervisors. We also developed recommendations and support materials for end- users and developers

Systemic Risk Management Plan for Electronic Medical Records (EMR): Why and How?

Electronic patient data use and handling are critical issues in terms of privacy, confidentiality, security, and the Health Insurance Portability and Accountability Act (HIPAA) regulations. The risks associated with electronic patient data are not limited to identity theft but rather include a person’s social, economic, and psychological well-being. However, there have not been many studies that have focused on the associated risk factors that could lead to these situations. This paper identifies those risks related to electronic patient data breaches by means of a grounded theory approach and develops a systemic risk management plan that enables engineering managers and risk managers to more effectively and efficiently overcome risks associated with electronic patient data

Collaborative networks in ambient assisted living

Tese de doutoramento em InformáticaCollaborative Work plays an important role in today’s organizations, especially in areas where decisions must be made. However, any decision that involves a collective or group of decision makers is, by itself, complex, but is becoming recurrent in recent years. In this work we present the VirtualECare project, an intelligent multiagent system able to monitor, interact and serve its customers, in need of care services. In last year’s there has been a substantially increase on the number of people needed of intensive care, especially among the elderly, a phenomenon that is related to population ageing. However, this is becoming not exclusive of the elderly, as diseases like obesity, diabetes and blood pressure have been increasing among young adults. This is a new reality that needs to be dealt by the health sector, particularly by the public one. Given this scenario, the importance of finding new and cost effective ways for health care delivery are of particular importance, especially when it is believed that they should not be removed from their natural “habitat”. Following this line of thinking, the VirtualECare project will be presented, like similar ones that preceded it. On the other hand, this is a growing interest in combining the advances in information society ‐ computing, telecommunications and presentation – in order to create Group Decision Support Systems (GDSSs). Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities in order to increase competitiveness and reduce risks. Under these settings, planning takes a major role in a company life. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. In particular if is believed that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This achievement is vital, regarding the explosion of knowledge and skills, together with the need to use limited resources and get the expected outcomes.Hoje em dia, o Trabalho Colaborativo desempenha um papel deveras importante na maioria das organizações, especialmente em áreas em que decisões têm de ser tomadas. No entanto, e muito embora comece a ser recorrente, qualquer decisão que envolva um grupo colectivo de decisores é, por si só, complexa. Nesta tese apresenta‐se o projecto VirtualECare, um sistema inteligente multi‐agente capaz de monitorar, interagir e servir os seus utilizadores, com necessidades de cuidados de saúde. Nos últimos anos têm‐se verificado um aumento substancial no número de pessoas necessitadas de cuidados intensivos, especialmente entre a população mais envelhecida, um fenómeno directamente relacionado com o envelhecimento gradual da população. No entanto, esta é uma problemática que começa a deixar de estar exclusivamente associada aos idosos, uma vez que, doenças como a obesidade, diabetes e a pressão arterial têm vindo a aumentar junto dos, assim chamados, jovens adultos. Esta é uma nova realidade com a qual o sector da saúde necessita de lidar, especialmente o sector público. Apresentados estes cenários, a importância de encontrar novas formas, mais eficazes ao nível dos custos, de providenciar cuidados de saúde, a quem deles necessita, torna‐se ainda mais premente, especialmente quando acreditamos que estes não devem ser deslocalizados do seu “habitat” natural. Seguindo esta linha de raciocínio, vamos apresentar o projecto VirtualECare, bem como similares que o precederam. Recentemente tem‐se vindo a assistir a um interesse crescente em combinar os avanços na, assim chamada, sociedade da informação – computação, telecomunicações e apresentação – de forma a se criarem Sistemas de Apoio à Decisão em Grupo (GDSS). Na realidade, a nova economia, associada ao elevado crescimento da competitividade do, já de si, complexo mundo empresarial, provoca a procura, por parte das empresas e/ou instituições, de outras que as possam complementar para assim se poderem tornar mais competitivas e reduzir os riscos assumidos. Neste cenário, o planeamento assume um papel da maior importância na vida de uma empresa. No entanto, um planeamento eficaz depende da geração e posterior análise de ideias (inovativas ou não) e, como resultado, o processo de geração e análise de ideias também se torna crucial. O nosso objectivo é aplicar os já apresentados GDSS a uma nova área. É de esperar que o uso de GDSS na área da prestação de cuidados de saúde irá permitir que os seus profissionais obtenham melhores e mais imediatos resultados na análise de um qualquer Processo Clínico Electrónico (ECP), sendo este um factor crucial, tendo em conta a explosão de conhecimento e técnicas conjugadas com a necessidade de melhor se utilizar os recursos existentes

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business