Abstract: The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DemNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease. 1

clinical; computer, handheld

Abstract—Erroneous computer entry problems [here: ‘e-errors] in hospital labs threaten the patients’–health carers ’ relationship, undermining the health system credibility. Are e-errors random, and do lab professionals make them accidentally, or may they be traced through meaningful determinants? Theories on internal causality of mistakes compel to seek specific causal ascriptions of hospital lab e-errors instead of accepting some inescapability. Undeniably, ‘To Err is Human’. But in view of rapid global health organizational changes, e-errors are too expensive to lack in-depth considerations. Yet, that e-function might supposedly be entrenched in the health carers ’ job description remains under dispute – at least for Hellenic labs, where e-use falls behind generalized(able) appreciation and application. In this study: i) an empirical basis of a truly high annual cost of e-errors at about €498,000.00 per rural Hellenic hospital was established, hence interest in exploring the issue was sufficiently substantiated; ii) a sample of 270 lab-expert nurses, technicians and doctors were assessed on several personality, burnout and e-error measures, and iii) the hypothesis that the Hardiness vs Alienation personality construct disposition explains resistance vs proclivity to e-errors was tested and verified: Hardiness operates as a resilience source in the encounter of high pressures experienced in the hospital lab, whereas its ‘opposite’, i.e., Alienation, functions as a predictor, not only of making e-errors, but also of leading to burn-out. Implications for apt interventions are discussed. Keywords—Hospital lab, personality hardiness/alienation, e-errors ’ cost, burnout. E

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Abstract not found

medical data warehouse and reporting systems,