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Design, implementation, and evaluation are all important for integrated care. However, they miss one critical factor: education. The authors define “integrated care education” as meaningful learning that purposefully supports collaboration and the development of adaptive expertise in integrated care. The ECHO (Extensions for Community Health Outcomes) model is a novel digital health solution that uses technology-enabled learning (TEL) to facilitate, support, and model integrated care education. Using ECHO Concussion as a case study, the authors describe the effects of technology-enabled integrated care education on the micro-, meso-, and macro-dimensions of integrated care.

This case study was constructed using data extracted from ECHO Concussion from video-archived sessions, participant observation, and internal program evaluation memos. The research team met regularly to discuss the development of relevant themes to the dimensions of integrated care.

On the micro-level, clinical integration occurs through case-based learning and the development of adaptive expertise. On the meso-level, professional integration is achieved through the development of the “specialist generalist,” professional networks and empathy. Finally, on the macro-level, ECHO Concussion and the ECHO model achieve vertical and horizontal system integration in the delivery of integrated care. Vertical integration is achieved through ECHO by educating and connecting providers across sectors from primary to quaternary levels of care. Horizontal integration is achieved through the establishment of lateral peer-based networks across sectors as a result of participation in ECHO sessions with a focus on population-level health.

This case study examines the role of education in the delivery of integrated care through one program, ECHO Concussion. Using the three dimensions of integrated care on the micro-, meso-, and macro-levels, this case study is the first explicit operationalization of ECHO as a means of delivering integrated care education and supporting integrated care delivery.

The purpose of this paper is to outline how personal health budgets and a universal, integrated model of support, can positively transform the way in which individuals with a learning disability experience their health and support needs.

The review recognises that Integrated Personal Commissioning, as a policy approach, provides the framework to offer personalised care, and enables people to live an independent, happy, healthy and meaningful life.

Evidence suggests that a personalised and integrated approach to both health and social care not only offers better outcomes on all levels for the individual, but also benefits the system as a whole.

The study reveals that a personalised care leads to people to have choices and control over decisions that affect in better health and wellbeing outcomes for people.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.