Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Pedro Pereira Rodrigues (Autor) FMUP; Claudia Camila Dias (Autor) Outra; Diana Rocha (Autor) Outra; Isabel Boldt (Autor) Outra; Armando Teixeira Pinto (Autor) FMUP; Ricardo Cruz Correia (Autor) Outra

Ata de Conferência Internacional

Título: 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

Páginas: 461-464

26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Porto, PORTUGAL, JUN 20-22, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-008-HZR

DOI: 10.1109/CBMS.2013.6627841

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4