F. Magrabi, S. T. Liaw, D. Arachi, W. B. Runciman, E. Coiera and M. R. Kidd. (2015). Identifying patient safety problems associated with Information Technology in general practice: an analysis of incident reports. BMJ Qual Saf.

Abstract: Objective: To identify the categories of problems with information technology (IT), which affect patient safety in general practice. Design: General practitioners (GPs) reported incidents online or by telephone between May 2012 and November 2013. Incidents were reviewed against an existing classification for problems associated with IT and the clinical process impacted. Participants and setting:

F. Magrabi, M. Baker, I. Sinha, M. S. Ong, S. Harrison, M. R. Kidd, W. B. Runciman and E. Coiera. (2015). Clinical safety of England’s national programme for IT: a retrospective analysis of all reported safety events 2005 to 2011. Int J Med Inform (Vol. 84, pp. 198-206).

Abstract: OBJECTIVE: To analyse patient safety events associated with England’s national programme for IT (NPfIT). METHODS: Retrospective analysis of all safety events managed by a dedicated IT safety team between September 2005 and November 2011 was undertaken. Events were reviewed against an existing classification for problems associated with IT. The proportion of reported events per

E. Coiera, Y. Wang, F. Magrabi, O. P. Concha, B. Gallego and W. Runciman. (2014). Predicting the cumulative risk of death during hospitalization by modeling weekend, weekday and diurnal mortality risks. BMC Health Serv Res (Vol. 14, pp. 226).

Abstract: BACKGROUND: Current prognostic models factor in patient and disease specific variables but do not consider cumulative risks of hospitalization over time. We developed risk models of the likelihood of death associated with cumulative exposure to hospitalization, based on time-varying risks of hospitalization over any given day, as well as day of the week. Model

M. S. Ong, F. Magrabi and E. Coiera. (2013). Syndromic surveillance for health information system failures: a feasibility study. J Am Med Inform Assoc (Vol. 20, pp. 506-12).

Abstract: OBJECTIVE: To explore the applicability of a syndromic surveillance method to the early detection of health information technology (HIT) system failures. METHODS: A syndromic surveillance system was developed to monitor a laboratory information system at a tertiary hospital. Four indices were monitored: (1) total laboratory records being created; (2) total records with missing results;

K. E. Chai, S. Anthony, E. Coiera and F. Magrabi. (2013). Using statistical text classification to identify health information technology incidents. J Am Med Inform Assoc (Vol. 20, pp. 980-5).

Abstract: OBJECTIVE: To examine the feasibility of using statistical text classification to automatically identify health information technology (HIT) incidents in the USA Food and Drug Administration (FDA) Manufacturer and User Facility Device Experience (MAUDE) database. DESIGN: We used a subset of 570 272 incidents including 1534 HIT incidents reported to MAUDE between 1 January 2008

M. S. Ong, F. Magrabi and E. Coiera. (2012). Automated identification of extreme-risk events in clinical incident reports. J Am Med Inform Assoc (Vol. 19, pp. e110-8).

Abstract: OBJECTIVES: To explore the feasibility of using statistical text classification to automatically detect extreme-risk events in clinical incident reports. METHODS: Statistical text classifiers based on Naive Bayes and Support Vector Machine (SVM) algorithms were trained and tested on clinical incident reports to automatically detect extreme-risk events, defined by incidents that satisfy the criteria of

F. Magrabi, M. S. Ong, W. Runciman and E. Coiera. (2012). Using FDA reports to inform a classification for health information technology safety problems. J Am Med Inform Assoc (Vol. 19, pp. 45-53).

Abstract: OBJECTIVE: To expand an emerging classification for problems with health information technology (HIT) using reports submitted to the US Food and Drug Administration Manufacturer and User Facility Device Experience (MAUDE) database. DESIGN: HIT events submitted to MAUDE were retrieved using a standardized search strategy. Using an emerging classification with 32 categories of HIT problems,

A. M. D. Jensen, M. M. Jensen, A. S. Korsager, M. S. Ong, F. Magrabi and E. Coiera. (2012). Using virtual worlds to train healthcare workers – a case study using Second Life to improve the safety of inpatient transfers. eJHI-The Electronic Journal of Health Informatics (Vol. 7, pp. e7).

Abstract: Virtual worlds such as Second Life may offer a new environment to deliver simulation-based safety training to clinicians. The objective of this study was to design and implement a simulation of inpatient transfers in the virtual world of Second Life, and to undertake a preliminary evaluation of its usability as an educational tool. A