18 resultados para Health informatics


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AIMS AND OBJECTIVES: To explore nurses' reactions to new novel technology for acute health care. BACKGROUND: Past failures of technology developers to deliver products that meet nurses' needs have led to resistance and reluctance in the technology adoption process. Thus, involving nurses in a collaborative process from early conceptualisation serves to inform design reflective upon current clinical practice, facilitating the cementing of 'vision' and expectations of the technology. DESIGN: An exploratory descriptive design to capture nurses' immediate impressions. METHODS: Four focus groups (52 nurses from medical and surgical wards at two hospitals in Australia; one private and one public). RESULTS: Nursing reactions towards the new technology illustrated a variance in barrier and enabler comments across multiple domains of the Theoretical Domains Framework. Most challenging for nurses were the perceived threat to their clinical skill, and the potential capability of the novel technology to capture their clinical workflow. Enabling reactions included visions that this could help integrate care between departments; help management and support of nursing processes; and coordinating their patients care between clinicians. Nurses' reactions differed across hospital sites, influenced by their experiences of using technology. For example, Site 1 nurses reported wide variability in their distribution of barrier and enabling comments and nurses at Site 2, where technology was prevalent, reported mostly positive responses. CONCLUSION: This early involvement offered nursing input and facilitated understanding of the potential capabilities of novel technology to support nursing work, particularly the characteristics seen as potentially beneficial (enabling technology) and those conflicting (barrier technology) with the delivery of both safe and effective patient care. RELEVANCE TO CLINICAL PRACTICE: Collaborative involvement of nurses from the early conceptualisation of technology development brings benefits that increase the likelihood of successful use of a tool intended to support the delivery of safe and efficient patient care.

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In current e-health research and development there is a need for a broader understanding of the capabilities and resources required for individuals to use and benefit from e-health services, i.e. their e-health literacy. The aim of
this study was to develop a new conceptualisation of e-health literacy with consideration of the experiences of a wide range of stakeholders and in alignment with current technologies. Concept mapping was used to generate a comprehensive and grounded model of e-health literacy. Concept mapping workshop participants included patients, health professionals and medical informatics experts. Eight workshops, carried out in Denmark and United Kingdom, generated 450 statements, separated into 128 clusters. Through an inductive structured analysis, seven domains were identified: 1. Ability to process information, 2. Engagement in own health, 3. Ability to engage actively with digital services, 4. Feeling safe and in control, 5. Motivation to engage with digital services, 6. Having access to systems that work, and 7. Digital services that suit individual needs. These empirically derived domains form an e-health literacy framework (eHLF) and provide new insights into the user’s ability to understand, access and use e-health technologies. The eHLF offers a framework for evaluating an individual’s or a population’s capacity to understand, use and benefit from technology to promote and maintain their health. Such a framework also provides a potential checklist for the development and improvement of e-health services.

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Technology assisted methods for medical diagnosis and biomedical health monitoring are rapidly shifting from classical invasive methods to handheld-based non-invasive approaches. Biomedical imagining is one of the most prominent practices of non-invasive mechanisms in medical applications. This paper considers the medical imaging schemes for Mobile Health (mHealth) applications and studies the feasibility of future mobile systems for accommodating image informatics capabilities.