1,720,997 research outputs found
Evidence based healthcare planning in developing countries : an informatics perspective
No full textMost of the national Health Information Systems (HIS) in resource limited developing countries do not serve the purpose of management support and thus the service is adversely affected. While emphasising the importance of timely and accurate health information in decision making in healthcare planning, this paper explains that Health Management Information System Failure is commonly seen in developing countries as well as the developed countries. It is suggested that the possibility of applying principles of Health Informatics and the technology of Decision Support Systems should be seriously considered to improve the situation. A brief scientific explanation of the evolution of these two disciplines is included
Identifying and using ehealth phobias to implement communication protocols and change cultural and social behaviours in ehealth
No full textStandardisation of validated communication protocols that aid in the adoption of policies, methods and tools in a secure eHealth setting require a significant cultural shift among clinician
Assistive Technologies for the Frail Elderly, Chronic Illness Sufferers and People with Disabilities – a Case Study of the Development of a Smart Home
Full text linkThis paper reports on initial stages of a case study of building a consortium to undertake research into advanced technologies and telecommunications that support the notion of an assisted care 'Smart Home'. The aim is to through research and development to provide greater independence, improved quality of life and reduce unnecessary hospital admission for the dependant being cared for in their own homes including the frail elderly, chronic illness sufferers and people with disabilities. The primary outcome is the intent to support families and professional carers, reduce costs and, where possible, identify commercial opportunities for new products and services. Queensland Smart Home Initiative (QSHI) is discussed as a case study together with the\ud
Consortium’s first Smart Home at an aged care facility in Queensland, Australia
Investigating risk exposure in e-health systems
No full textPurpose\ud
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Health managers, administrators and health practitioners now face new challenges due to the increasing dependency being placed on electronic health information systems. This paper focuses on Electronic Health Records for determining the critical attributes for e-health system development. The proposed QUiPS model aims to provide a framework for building trustworthy solutions by identifying the pertinent issues needed to determine the risk exposure with a given system.\ud
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Approach\ud
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To produce dependable, low risk and viable IT solutions, each critical attribute needs to be specifically addressed and prioritized. It is shown how these attributes possess a number of interdependencies making the analysis and prioritization tasks complex and hence, in practice, often incomplete. Two Australian case studies are presented that access enterprise level applications of live health records where these risk based techniques have been applied.\ud
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Results\ud
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The value and the shortcomings of taking a risk based approach to developing and deploying electronic health information systems that are safe and secure, is evaluated. The case studies presented indicate that traditional methods used to derive the requirements are often inadequate and the risks that are faced in ensuring a safe and secure system are highly application dependent and dynamic.\ud
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Conclusions\ud
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Convergence towards a viable universal solution for our electronic health records is not imminent and trust in e-health is fragile. Policies that data custodians follow need to be flexible and updated on a regular basis. Technological solutions are at best a stop gap to avoid the common hazards associated with access control and secure messaging. A wider range of analysis techniques to determine the key issues for a dependable health information system can derive longer term sustainable solutions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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