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. Y. S. Lau, A. Parker, J. Early, G. Sacks, F. Anvari and E. Coiera. (2012). Comparative usage of a web-based personally controlled health management system and normal support: A case study in IVF. eJHI-The Electronic Journal of Health Informatics (Vol. 7, pp. e16).

Abstract: Background: Research into the impact of personal health record-enabled consumer systems is still in its infancy.  Little is known about effective designs of web-based personally controlled health management system (PCHMS), how people use these systems in their real-life settings, nor how usage relates to concurrent support from other sources. Objective: To inform PCHMS design

A. Y. Lau, V. Sintchenko, J. Crimmins, F. Magrabi, B. Gallego and E. Coiera. (2012). Protocol for a randomised controlled trial examining the impact of a web-based personally controlled health management system on the uptake of influenza vaccination rates. BMC Health Serv Res (Vol. 12, pp. 86).

Abstract: BACKGROUND: Online social networking and personally controlled health management systems (PCHMS) offer a new opportunity for developing innovative interventions to prevent diseases of public health concern (e.g., influenza) but there are few comparative studies about patterns of use and impact of these systems. METHODS/DESIGN: A 2010 CONSORT-compliant randomised controlled trial with a two-group parallel

A. Y. Lau, V. Sintchenko, J. Crimmins, F. Magrabi, B. Gallego and E. Coiera. (2012). Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial. J Am Med Inform Assoc (Vol. 19, pp. 719-27).

Abstract: OBJECTIVE: To assess the impact of a web-based personally controlled health management system (PCHMS) on the uptake of seasonal influenza vaccine and primary care service utilization among university students and staff. MATERIALS AND METHODS: A PCHMS called Healthy.me was developed and evaluated in a 2010 CONSORT-compliant two-group (6-month waitlist vs PCHMS) parallel randomized controlled

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