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Coiera E, Magrabi F, Talmon J. Engineering technology resilience through informatics safety science [Editorial]. Journal of the American Medical Informatics Association. 2017; 24(2):244-5.

With every year that passes, our relationship to information technology becomes more complex, and our dependence deeper. Technology is our great ally, promising greater efficiency and productivity. It also promises greater safety for our patients. However, this relationship with technology can sometimes be a brittle one. We can quickly cross a safety gap from a

Coorey GM, Neubeck L, Usherwood T, Peiris D, Parker S, Lau AY, Chow C, Panaretto K, Harris M, Zwar N. Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation. BMJ Open. 2017; 7(1):e014353.

Introduction Technology-mediated strategies have potential to engage patients in modifying unhealthy behaviour and improving medication adherence to reduce morbidity and mortality from cardiovascular disease (CVD). Furthermore, electronic tools offer a medium by which consumers can more actively navigate personal healthcare information. Understanding how, why and among whom such strategies have an effect can help determine the

Lyell D, Magrabi F, Raban MZ, Pont LG, Baysari MT, Day RO, Coiera E: Automation bias in electronic prescribing. BMC Medical Informatics and Decision Making 2017, 17(1):28.

BACKGROUND: Clinical decision support (CDS) in e-prescribing can improve safety by alerting potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users over-rely on CDS, reducing vigilance in information seeking and processing. Evidence of AB has been found in other clinical tasks, but has not yet been tested with e-prescribing. This

Wang Y, Coiera E, Gallego B, Perez-Concha O, Ong M-S, Tsafnat G, Roffe D, Jones G, Magrabi F. Measuring the effects of computer downtime on hospital pathology processes. Journal of biomedical informatics. 2016; 59:308-15.

Abstract OBJECTIVE: To introduce and evaluate a method that uses electronic medical record (EMR) data to measure the effects of computer system downtime on clinical processes associated with pathology testing and results reporting. MATERIALS AND METHODS: A matched case-control design was used to examine the effects of five downtime events over 11-months, ranging from 5

Nguyen AD, Baysari MT, Kannangara DR, Tariq A, Lau AY, Westbrook JI, Day RO. Mobile applications to enhance self-management of gout. International Journal of Medical Informatics. 2016; 94:67-74.

Abstract BACKGROUND: Gout is an arthritic condition that is characterised by extremely painful, debilitating acute attacks and eventual joint and organ damage if not controlled. Despite the availability of very effective therapies that, if adhered to, will prevent acute attacks and long-term damage, the disorder is increasingly prevalent. There is an urgent need to improve

Tiong S, Koh E, Delaney G, Lau A, Adams D, Bell V, Sapkota P, Harris T, Girgis A, Przezdziecki A. An e‐health strategy to facilitate care of breast cancer survivors: A pilot study. Asia‐Pacific Journal of Clinical Oncology. 2016.

Abstract AIM: Innovative e-health strategies are emerging, to tailor and provide convenient, systematic and high-quality survivorship care for an expanding cancer survivor population. This pilot study tests the application of an e-health platform, “Healthy.me,” in a breast cancer survivor cohort at Liverpool and Macarthur Cancer Therapy Centres, New South Wales, Australia. METHODS: Fifty breast cancer

Arguel A, Perez‐Concha O, Li SY, Lau A. Theoretical approaches of online social network interventions and implications for behavioral change: A systematic review. Journal of Evaluation in Clinical Practice. 2016; (Oct 6. doi: 10.1111/jep.12655. [Epub ahead of print]).

Abstract RATIONAL, AIMS AND OBJECTIVES: The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted. METHODS: A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four

Magrabi F, Ammenwerth E, Hyppönen H, de Keizer N, Nykänen P, Rigby M, Scott P, Talmon J, Georgiou A. Improving evaluation to address the unintended consequences of health information technology. IMIA Yearbook. 2016:61-9

Abstract BACKGROUND AND OBJECTIVES: With growing use of IT by healthcare professionals and patients, the opportunity for any unintended effects of technology to disrupt care health processes and outcomes is intensified. The objectives of this position paper by the IMIA Working Group (WG) on Technology Assessment and Quality Development are to highlight how our ongoing

Rigby M, Magrabi F, Scott P, Doupi P, Hypponen H, Ammenwerth E. Steps in moving evidence-based health informatics from theory to practice. Healthcare Informatics Research. 2016; 22(4):255-60.

Abstract OBJECTIVES: To demonstrate and promote the importance of applying a scientific process to health IT design and implementation, and of basing this on research principles and techniques. METHODS: A review by international experts linked to the IMIA Working Group on Technology Assessment and Quality Development. RESULTS: Four approaches are presented, linking to the creation