User profiles for Melissa T. Baysari

Melissa Baysari

University of Sydney
Verified email at sydney.edu.au
Cited by 4478

Understanding the human factors contribution to railway accidents and incidents in Australia

MT Baysari, AS McIntosh, JR Wilson - Accident Analysis & Prevention, 2008 - Elsevier
Forty rail safety investigation reports were reviewed and a theoretical framework (the Human
Factors Analysis and Classification System; HFACS) adopted as a means of identifying …

[HTML][HTML] Effects of two commercial electronic prescribing systems on prescribing error rates in hospital in-patients: a before and after study

…, L Li, WB Runciman, R Burke, C Lo, MT Baysari… - PLoS …, 2012 - journals.plos.org
Background Considerable investments are being made in commercial electronic prescribing
systems (e-prescribing) in many countries. Few studies have measured or evaluated their …

Classification of errors contributing to rail incidents and accidents: A comparison of two human error identification techniques

MT Baysari, C Caponecchia, AS McIntosh, JR Wilson - Safety Science, 2009 - Elsevier
Identifying the errors that frequently result in the occurrence of rail incidents and accidents
can lead to the development of appropriate prevention and/or mitigation strategies. Nineteen …

What are incident reports telling us? A comparative study at two Australian hospitals of medication errors identified at audit, detected by staff and reported to an …

…, L Li, EC Lehnbom, MT Baysari… - … Journal for Quality in …, 2015 - academic.oup.com
Objectives To (i) compare medication errors identified at audit and observation with
medication incident reports; (ii) identify differences between two hospitals in incident report …

The effectiveness of information technology to improve antimicrobial prescribing in hospitals: a systematic review and meta-analysis

MT Baysari, EC Lehnbom, L Li, A Hargreaves… - International journal of …, 2016 - Elsevier
… Author links open overlay panel Melissa T. Baysari a b , Elin C. Lehnbom c , Ling Li a ,
Andrew Hargreaves d e , Richard O. Day b f , Johanna I. …

The safety of electronic prescribing: manifestations, mechanisms, and rates of system-related errors associated with two commercial systems in hospitals

JI Westbrook, MT Baysari, L Li, R Burke… - Journal of the …, 2013 - academic.oup.com
Objectives To compare the manifestations, mechanisms, and rates of system-related errors
associated with two electronic prescribing systems (e-PS). To determine if the rate of system-…

A systematic review of the effectiveness of interruptive medication prescribing alerts in hospital CPOE systems to change prescriber behavior and improve patient …

N Page, MT Baysari, JI Westbrook - International journal of medical …, 2017 - Elsevier
Objectives To assess the evidence of the effectiveness of different categories of interruptive
medication prescribing alerts to change prescriber behavior and/or improve patient …

A review of medical error taxonomies: a human factors perspective

IA Taib, AS McIntosh, C Caponecchia, MT Baysari - Safety Science, 2011 - Elsevier
Although a large number of medical error taxonomies have been published, there is little
evidence to suggest that these taxonomies have been systematically compared. This paper …

[HTML][HTML] The impact of introducing automated dispensing cabinets, barcode medication administration, and closed-loop electronic medication management systems …

…, V Lichtner, BA Van Dort, MT Baysari - Research in Social and …, 2021 - Elsevier
Melissa T. Baysari: contributed to conception and design of the study, all authors
contributed to data interpretation, Writing - original draft, and approved the final manuscript for …

[HTML][HTML] Automation bias in electronic prescribing

…, F Magrabi, MZ Raban, LG Pont, MT Baysari… - BMC medical informatics …, 2017 - Springer
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 …