2 resultados para Unplanned Readmissions

em Dalarna University College Electronic Archive


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Unplanned hospital readmissions increase health and medical care costs and indicate lower the lower quality of the healthcare services. Hence, predicting patients at risk to be readmitted is of interest. Using administrative data of patients being treated in the medical centers and hospitals in the Dalarna County, Sweden, during 2008 – 2016 two risk prediction models of hospital readmission are built. The first model relies on the logistic regression (LR) approach, predicts correctly 2,648 out of 3,392 observed readmission in the test dataset, reaching a c-statistics of 0.69. The second model is built using random forests (RF) algorithm; correctly predicts 2,183 readmission (out of 3,366) and 13,198 non-readmission events (out of 18,982). The discriminating ability of the best performing RF model (c-statistic 0.60) is comparable to that of the logistic model. Although the discriminating ability of both LR and RF risk prediction models is relatively modest, still these models are capable to identify patients running high risk of hospital readmission. These patients can then be targeted with specific interventions, in order to prevent the readmission, improve patients’ quality of life and reduce health and medical care costs.

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The study shows the current need for security solutions concerning work with information in different areas.Investigations will show important solutions for printers’ needs to meet the increasingly harder demands forfast and safe digital communications. Important factors to be analyzed in the investigations are: access todifferent types of information, workers authority of information, access to the data base register internallyand externally, production solutions for an effective fault detection and data base solutions fororders and distribution.Planned and unplanned stops result in a standard of value in interruptions. Internal data bases areprotected by so-called “Fire Walls”, “Watch Dogs” and Virtual Private Networks. Offset plates are locked infor a definitive range of time. Subsequent destruction and remaining sheets are shredded and recycled. Alldocumentation is digital, in business control systems, which guarantees that no important documents arelying around in working places. Fault detection work is facilitated by the ability to fully track the order numberson incoming orders.