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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pereira Rodrigues, P. Dias, C.C. Rocha, D. Boldt, I. Teixeira-Pinto, A. Cruz-Correia, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: CINTESIS, Univ. of Porto, Porto, Portugal (Dias, C.C.; Rocha, D.; Boldt, I.; Teixeira-Pinto, A.; Cruz-Correia, R.) || LIAAD, INESC TEC, Portugal (Pereira Rodrigues, P.) |
| Abstract | The amount of data currently being produced, stored and used in hospital settings is stressing information technology infrastructure, making clinical reports to be stored in secondary memory devices. The aim of this work was to develop a model that predicts the probability of visualization, within a certain period after production, of each clinical report. We collected log data, from January 2013 till May 2011, from an existing virtual patient record, in a tertiary university hospital in Porto, Portugal, with information on report creation and report first-time visualization dates, along with contextual information. The main factors associated with visualization were defined using logistic regression. These factors were then used as explanatory variables for predicting the probability of a piece of information being accessed after production, using Kaplan-Meier analysis and the Weibull probability distribution. Clinical department, type of encounter and report type were found significantly associated with time-to-visualization and probability of visualization. |
| Starting Page | 461 |
| Ending Page | 464 |
| File Size | 646685 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479910533 |
| DOI | 10.1109/CBMS.2013.6627841 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hospitals Predictive models Data visualization Pathology Visualization Production Information systems |
| Content Type | Text |
| Resource Type | Article |
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