scholarly journals Human Factors Research in Anesthesia Patient Safety: Techniques to Elucidate Factors Affecting Clinical Task Performance and Decision Making

2002 ◽  
Vol 9 (90061) ◽  
pp. 58S-63 ◽  
Author(s):  
M. B. Weinger
Keyword(s):  
Decision Making ◽  
Patient Safety ◽  
Human Factors ◽  
Task Performance ◽  
Factors Affecting ◽  
Human Factors Research

Trust in Automation: The Effects of System Certainty on Decision-Making

2021 ◽  
Vol 65 (1) ◽  
pp. 32-36
Author(s):  
Maya S. Luster ◽  
Brandon J. Pitts
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
Task Performance ◽  
Autonomous Systems ◽  
Perceived Trust ◽  
Behavioral Observations ◽  
Trust In Automation ◽  
Certainty Level

In the field of Human Factors, the concept of trust in automation can help to explain how and why users interact with particular systems. One way to examine trust is through task performance and/or behavioral observations. Previous work has identified several system-related moderators of trust in automation, such as reliability and complexity. However, the effects of system certainty, i.e., the knowledge that a machine has regarding its own decision-making abilities, on trust remains unclear. The goal of this study was to examine the extent to which system certainty affects perceived trust. Participants performed a partially simulated flight task and decided what action to take in response to targets in the environment detected by the aircraft’s automation. The automation’s certainty levels in recognizing targets were 30%, 50%, and 80%. Overall, participants accepted the system’s recommendation regardless of the certainty level and trust in the system increased as the system’s certainty level increased. Results may help to inform the development of future autonomous systems.

scholarly journals The Patient in Patient Safety: Unique Perspectives of Researchers Who are also Patients

2020 ◽  
Vol 9 (1) ◽  
pp. 292-296
Author(s):  
Elizabeth Lerner Papautsky ◽  
Richard J. Holden ◽  
Rupa S. Valdez ◽  
Katie Ernst ◽  
Andre Kushniruk
Keyword(s):  
Decision Making ◽  
Patient Safety ◽  
Human Factors ◽  
Healthcare Organizations ◽  
Care Continuum ◽  
Culture Shift ◽  
Health Related ◽  
Research Questions

In a panel format, four systems researchers who are also patients described their experiences navigating their care continuum in relation to human factors topics. Getting inside the heads of researcher-patients is an opportunity to elicit unique perspectives on healthcare, which may not be captured through research alone. Researcher-patients may navigate and observe their care continuum with a lens attuned to identifying research questions, as well as gaps and opportunities for interventions that support patients in health-related work, clinicians in decision making, and a culture shift towards effective patient-clinician teaming in service of improved safety and quality. We provide detailed recommendations, as well as a concise take-away tool intended for healthcare organizations.

scholarly journals Organizational and Human Factors Affecting Forensic Decision‐Making: Workplace Stress and Feedback

2020 ◽  
Vol 65 (6) ◽  
pp. 1968-1977
Author(s):  
Mohammed A. Almazrouei ◽  
Itiel E. Dror ◽  
Ruth M. Morgan
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
Workplace Stress ◽  
Factors Affecting

Coding and Visualizing Eye Tracking Data in Simulated Anesthesia Care

2007 ◽  
Vol 51 (11) ◽  
pp. 765-770 ◽  
Author(s):  
Noa Segall ◽  
Jeffrey M. Taekman ◽  
Jonathan B. Mark ◽  
Gene Hobbs ◽  
Melanie C. Wright
Keyword(s):  
Human Factors ◽  
Eye Tracking ◽  
Video Coding ◽  
Task Performance ◽  
Anesthesia Care ◽  
Tracking Data ◽  
Care Environment ◽  
Human Factors Research

Eye tracking can be a valuable tool for collecting data about perception and attention in task performance, but its use in human factors research has been limited. This may be due to the fact that the coding and visualization of eye tracking data can be difficult and time-consuming. In this paper we introduce a video-coding application for coding and analyzing eye tracking data. We discuss various methods for visualizing these data for the purposes of identifying patterns or trends that can then be more formally analyzed. We also present several visualization examples from the simulated anesthesia care environment.

Patient Safety Risks during On-Demand Telehealth Referrals and Implications for Human Factors Research

2021 ◽  
Vol 65 (1) ◽  
pp. 500-504
Author(s):  
Kylie M. Gomes ◽  
Katharine T. Adams ◽  
Ethan Booker ◽  
Raj M. Ratwani
Keyword(s):  
Patient Safety ◽  
Human Factors ◽  
Safety Concern ◽  
On Demand ◽  
Safety Risks ◽  
Time Period ◽  
Increased Risk ◽  
Missed Diagnosis ◽  
Human Factors Research

The COVID-19 pandemic has rapidly accelerated the adoptionof on-demand telehealth as a way to keep patients and providers safe from viral transmission. However, theconstrained timelines and challenging conditions under which telehealth was implemented along with the factthat many patientsand providers are interacting in a new modality raisesconcerns about the potential for unintended patient safety risks that have yet to be fully understood. With the surge in telehealth patient volumeduringthe pandemic,on demand telehealth has served as a way to triageand refer patients who need additional in-person evaluation and treatment. One safety concern is whether patients who are referred are successfully following through on in-person care referrals as thefailure to seekin-person care may lead to increased risk of delayed or missed diagnosis. This study aimsto evaluate whether patientsare successfully fulfilling their in -person referralsfollowingareferralfromon-demandtelehealth through retrospective analysis of a subset of telehealth referral datafrom a large healthcare system. Of the 911 on-demand telehealth visitswith a referral to in-person care, only 689showed anin-person care encounter following the telehealthvisit and only 75-85% ofmore immediate urgency in-person referrals were fulfilled within the recommended time period of 24 hours. This preliminary data highlights theneed for amore comprehensiveanalysisof the telehealth referral processand the application of human factors methodsto understand and address barriers and risks associated with telehealth referrals and successful follow up.

Human Factors Research in India

1971 ◽  
Vol 13 (4) ◽  
pp. 345-353
Author(s):  
Chittranjan N. Daftuar
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
And Performance ◽  
Published Research ◽  
Human Factors Research

This paper covers the published research in the area of human factors in India since 1955 under the following subheadings: (1) physiology and anthropometry, (2) accidents, (3) stress, (4) abilities requirements and performance, (5) decision making, and (6) displays.

Seizing the Moment: Translating Human Factors Research into Patient Safety Interventions

2002 ◽  
Vol 46 (16) ◽  
pp. 1433-1437
Author(s):  
Thomas Sheridan ◽  
Emilie Roth ◽  
James Battles ◽  
Meghan Dierks ◽  
John Gosbee ◽  
...  
Keyword(s):  
Health Care ◽  
Patient Safety ◽  
Human Factors ◽  
Improve Patient Safety ◽  
Convincing Evidence ◽  
Medical Practitioners ◽  
Care Community ◽  
Community Needs ◽  
Safety Interventions ◽  
Human Factors Research

The word is out. Doctors, nurses, and health care administrators have heard of human factors. They don't quite understand it, but they are willing to listen if they can see convincing evidence that it can help. To be effective instruments of change the human factors community needs to understand better what motivates physicians and nurses and hospitals to change, and how the health care system works. They need to get closer to the market, learn how to communicate with hospitals and medical practitioners, discover the opportunities for human factors services, and learn how to deal with the health care community to change the culture of blame to one of systems understanding and improvement. It is to that end that this panel was organized. The panel brought together managers, research funders, policy makers and medical educators who are actively engaged in trying to improve patient safety in hospitals to discuss needs, opportunities, and challenges to performing human factors research addressing health care concerns and translating the results of the research into practical interventions.

Human Factors Research in Patient Safety: A Candid Assessment

2002 ◽  
Vol 46 (16) ◽  
pp. 1462-1466 ◽  
Author(s):  
Kerm Henriksen ◽  
Marilyn Sue Bogner ◽  
Pascale Carayon ◽  
Richard I. Cook ◽  
Matthew B. Weinger ◽  
...  
Keyword(s):  
Patient Safety ◽  
Human Factors ◽  
Patient Care ◽  
Clinical Work ◽  
Healthcare Research ◽  
Cultural Barriers ◽  
Patient Privacy ◽  
Safety Research ◽  
Active Research ◽  
Human Factors Research

Five panelists, playing active research roles in the Agency for Healthcare Research and Quality's patient safety research initiative, present their views on challenges to human factors research for enhancing patient safety. Bogner advocates a systems structure for linking the findings of various research projects so that the missing pieces of the patient safety puzzle can serve as fruitful targets for subsequent research. Carayon adopts a macroergonomic framework for designing interventions to clinical work systems while Cook focuses on the complexity that underlies configurable clinical devices. With respect to anesthesia and critical care, Weinger cites the successful use of task analysis, workload assessment, and video analysis, yet notes challenges regarding concerns about patient privacy, disruption of patient care, and cultural barriers. Xiao cites impressive HF/E work on team coordination and performance shaping factors and sees the need for greater use of video and information technology to improve institutional learning and coordination of patient care.

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