A review of measuring the cognitive workload of electronic health records

BA Wilbanks, SP McMullan - CIN: Computers, Informatics …, 2018 - journals.lww.com
Abstract The To Err Is Human report stated that 98 000 patients die yearly because of
medical errors, and that medication errors kill more people than workplace injuries. The …

Using eye tracking for measuring cognitive workload during clinical simulations: literature review and synthesis

BA Wilbanks, E Aroke, KM Dudding - CIN: Computers, Informatics …, 2021 - journals.lww.com
High-fidelity clinical simulations can be used by clinicians to acquire technical (physical
ability and knowledge) and non-technical (cognitive and social processes) skills. Excessive …

[HTML][HTML] Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging

H Sharma, L Drukker, AT Papageorghiou… - Computers in biology and …, 2021 - Elsevier
Introduction Pupillometry, the measurement of eye pupil diameter, is a well-established and
objective modality correlated with cognitive workload. In this paper, we analyse the pupillary …

Usability evaluation of TV interfaces: Subjective evaluation vs. objective evaluation

C Altin Gumussoy, A Pekpazar, M Esengun… - … Journal of Human …, 2022 - Taylor & Francis
This study aims to design a usability test enhanced with subjective usability evaluation
methods (concurrent think-aloud, post-task and posttest questionnaires) and objective …

[HTML][HTML] Investigation of eye movement measures of mental workload in healthcare: can pupil dilations reflect fatigue or overload when it comes to health information …

K Lisanne, G Jonathan, R Rainer, B Bernhard - Applied Ergonomics, 2024 - Elsevier
The use of health information systems (HIS) can result in high workloads and, consequently,
poor performance characterized by eg increased occurrence of errors among clinicians …

Elucidating system‐level interdependence in electronic health record data: What are the ramifications for trainee assessment?

SS Sebok‐Syer, R Pack, L Shepherd… - Medical …, 2020 - Wiley Online Library
Context The electronic health record (EHR) has been identified as a potential site for
gathering data about trainees' clinical performance, but these data are not collected or …

Untangling cost, effort, and load in information seeking and retrieval

M McGregor, L Azzopardi, M Halvey - … of the 2021 conference on human …, 2021 - dl.acm.org
When performing Information Seeking and Retrieval (ISR) activities, people submit queries,
examine results, assess documents and engage with the information to make decisions and …

Relating task demand, mental effort and task difficulty with physicians' performance during interactions with electronic health records (EHRs)

PR Mosaly, LM Mazur, F Yu, H Guo… - … Journal of Human …, 2018 - Taylor & Francis
Objective was to assess the relationship between task demand, mental effort, task difficulty,
and performance during physicians' interaction with electronic health records (EHRs) …

Charting the COVID Long Haul Experience-A Longitudinal Exploration of Symptoms, Activity, and Clinical Adherence

J Pater, S Chopra, J Carroll, J Zaccour… - Proceedings of the CHI …, 2024 - dl.acm.org
COVID Long Haul (CLH) is an emerging chronic illness with varied patient experiences. Our
understanding of CLH is often limited to data from electronic health records (EHRs), such as …

A systematic review of cost, effort, and load research in information search and retrieval, 1972–2020

M McGregor, L Azzopardi, M Halvey - ACM Transactions on Information …, 2023 - dl.acm.org
During the information search and retrieval (ISR) process, user-system interactions such as
submitting queries, examining results, and engaging with information impose some degree …