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

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

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

Conference proceedings International

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

Pages: 461-464

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

Porto, PORTUGAL, JUN 20-22, 2013

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4