Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

JS Ancker, A Edwards, S Nosal, D Hauser… - BMC medical informatics …, 2017 - Springer
Background Although alert fatigue is blamed for high override rates in contemporary clinical
decision support systems, the concept of alert fatigue is poorly defined. We tested …

Attention Among Health Care Professionals: A Scoping Review

MJ Kissler, S Porter, M Knees, K Kissler… - Annals of Internal …, 2024 - acpjournals.org
Background: The concept of attention can provide insight into the needs of clinicians and
how health systems design can impact patient care quality and medical errors. Purpose: To …

Surveillance monitoring management for general care units: strategy, design, and implementation

SP McGrath, AH Taenzer, N Karon, G Blike - The Joint Commission Journal …, 2016 - Elsevier
Article-at-a-Glance Background The growing number of monitoring devices, combined with
suboptimal patient monitoring and alarm management strategies, has increased “alarm …

Clinical decision support systems

A Teufel, H Binder - Visceral medicine, 2021 - karger.com
Background: By combining up-to-date medical knowledge and steadily increasing patient
data, a new level of medical care can emerge. Summary and Key Messages: Clinical …

[HTML][HTML] Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable

A Simkute, E Luger, B Jones, M Evans… - Journal of Responsible …, 2021 - Elsevier
Algorithmic decision support systems are widely applied in domains ranging from healthcare
to journalism. To ensure that these systems are fair and accountable, it is essential that …

Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data

L Chen, A Dubrawski, D Wang, M Fiterau… - Critical care …, 2016 - journals.lww.com
Objective: The use of machine-learning algorithms to classify alerts as real or artifacts in
online noninvasive vital sign data streams to reduce alarm fatigue and missed true …

Reducing medical device alarms by an order of magnitude: a human factors approach

E Koomen, CS Webster, D Konrad… - … and intensive care, 2021 - journals.sagepub.com
The intensive care unit (ICU) is one of the most technically advanced environments in
healthcare, using a multitude of medical devices for drug administration, mechanical …

[HTML][HTML] Online experiments and regression analysis of evacuation decisions in response to fire alarms

A Balboa, A Cuesta, J González-Villa, G Ortiz, D Alvear - Fire safety journal, 2023 - Elsevier
The stay/go decisions of people involved in fire incidents are crucial for safety. However, the
factors that influence these decisions remain unclear. To address this issue, online …

Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach

HP Santry, SA Strassels, AM Ingraham… - BMC medical research …, 2020 - Springer
Abstract Background Acute Care Surgery (ACS) was developed as a structured, team-based
approach to providing round-the-clock emergency general surgery (EGS) care for adult …

Testing physiologic monitor alarm customization software to reduce alarm rates and improve nurses' experience of alarms in a medical intensive care unit

H Ruppel, L De Vaux, D Cooper, S Kunz, B Duller… - PLoS …, 2018 - journals.plos.org
Background Clinicians in intensive care units experience alarm fatigue related to frequent
false and non-actionable alarms produced by physiologic monitors. To reduce non …