User profiles for Melissa T. Baysari
Melissa BaysariUniversity 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 …
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
Background Considerable investments are being made in commercial electronic prescribing
systems (e-prescribing) in many countries. Few studies have measured or evaluated their …
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
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 …
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 …
Objectives To (i) compare medication errors identified at audit and observation with
medication incident reports; (ii) identify differences between two hospitals in incident report …
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
… 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. …
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
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-…
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 …
medication prescribing alerts to change prescriber behavior and/or improve patient …
A review of medical error taxonomies: a human factors perspective
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 …
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 …
… 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 …
contributed to data interpretation, Writing - original draft, and approved the final manuscript for …
[HTML][HTML] Automation bias in electronic prescribing
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 …
potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users …