Human Error in Healthcare Systems and in Mining Equipment

2012 ◽  
pp. 181-200
Keyword(s):  
Human Error ◽  
Healthcare Systems ◽  
Mining Equipment

scholarly journals Autonomous mining dump trucks

2020 ◽  
Vol 59 (3) ◽  
pp. 123-130
Author(s):  
Mark Leont’evich KHAZIN ◽  
Keyword(s):  
Human Error ◽  
Human Factor ◽  
Mining Industry ◽  
Developed Countries ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Equipment ◽  
Labor Costs ◽  
Mining Company ◽  
Dump Trucks

Research aim is to reduce the costs of a mining company and the number of accidents by increasing the efficiency of the use of equipment and eliminating the human factor. Research methodology: analysis of possible areas of application of autonomous mining dump trucks and problems associated with this process. Results. Mining is carried out in difficult mining conditions, which makes the presence of people in the working area of the quarry problematic. Mining companies are looking to cut costs and make jobs safer, especially in developed countries with high labor costs. The use of dump trucks with remote and autonomous control systems in open pits makes it possible to increase the safety and efficiency of open pit mining, reduce the influence of the human factor and increase the productivity of mining machines. While human drivers can do their job well, autonomous trucks can drive the exact route every time without getting bored, tired or resting. The car does not need clean air, good visibility and a lunch break. At the same time, mining autonomous dump trucks can be used in remote-controlled, semi-autonomous and autonomous modes, and the driver in them is replaced by a central controller and a local self-management system. The robot does not get tired and does not make mistakes, it can work 24 hours a day. Eliminating human error and regular training improves safety and increases the productivity of a mining operation. Such companies as BelAZ, Komatsu and Caterpillar are the leaders in the production of autonomous mining dump trucks. Conclusions. The introduction of autonomous transportation allows the mining company to actually reduce its operating costs. While autonomous technologies are still in their infancy, they continue to evolve. Complex solutions will be of great interest - centralized systems that allow working with a fleet of autonomous vehicles and other mining equipment. Therefore, this direction today is the most developing and promising, and the use of autonomous dump trucks in the mining industry is no longer a distant prospect, but a reality of today

Determining the optimal human reliability analysis (HRA) method in healthcare systems using Fuzzy ANP and Fuzzy TOPSIS

2020 ◽  
Vol 25 (3) ◽  
pp. 123-133
Author(s):  
Asghar Abbaspour ◽  
Mahnaz Saremi ◽  
Ahmad Alibabaei ◽  
Pedram S Moghanlu
Keyword(s):  
Reliability Analysis ◽  
Medical Errors ◽  
Human Error ◽  
Healthcare Systems ◽  
Ideal Solution ◽  
Optimal Method ◽  
Human Reliability Analysis ◽  
Analytical Network Process ◽  
Network Process ◽  
Order Preference

Purpose As one of the leading causes of deaths and injuries, medical errors constitute a veritable threat to patient safety. Despite this fact, no unique method has yet been established to identify and evaluate medical errors. This study was conducted to select an optimal human reliability analysis method compatible with healthcare systems from available methods. Design/methodology/approach: In order to select the optimal method for the identification and evaluation of medical errors, different criteria and sub-criteria were determined by reviewing the literature and based on experts’ opinions. Next, weights of criteria and sub-criteria were specified by using the fuzzy analytical network process (ANP). Finally, fuzzy technique for order preference by similarity to ideal solution method was used to prioritize the methods. Findings Six criteria and 21 sub-criteria for choosing the optimal method were determined. The utility, usability, and structure of a method had the highest influence with weights of 0.262, 0.191, and 0.187, respectively. Based on the results of fuzzy technique for order preference by similarity to ideal solution, the Human Error Assessment and Reduction Technique method with a closeness coefficient of 0.576 was selected as the optimal method for identifying medical errors. The Human Factors Analysis and Classification System and Systematic Human Error Reduction and Prediction Approach methods ranked second and third, respectively. Originality/value: To date, no studies have attempted to determine the optimal methods for identification and assessment of medical errors. This paper aimed to fill this gap by using fuzzy analytical network process and fuzzy technique for order preference by similarity to ideal solution techniques.

Human Factors Applications to Health Care Systems

1989 ◽  
Vol 33 (17) ◽  
pp. 1167-1167
Author(s):  
Susan Meadows
Keyword(s):  
Human Factors ◽  
Medical Device ◽  
Medical Devices ◽  
Human Error ◽  
Health Care Systems ◽  
Healthcare Systems ◽  
Instructional Materials ◽  
Design Standards ◽  
Demonstration Program ◽  
Care Systems

This demonstration program shows how human factors design and evaluation principles can be applied to the area of medical device and healthcare systems. The objective is to provide examples of evaluations and new designs for healthcare products which reduce human error and improve medical devices and instructional materials. International performance and design standards incorporating human factors principles are gaining more attention because of the efforts of the European medical device industry to standardize products.

scholarly journals Defending Against Medical Error: Personal Reflections on the Legacy of John Senders

2021 ◽  
pp. 001872082110334
Author(s):  
Joseph A. Cafazzo ◽  
Abigail J. Sellen ◽  
Don Norman
Keyword(s):  
Human Error ◽  
Healthcare Systems ◽  
Personal History ◽  
Strong Resonance ◽  
Relevant Today ◽  
Human Factors And Ergonomics ◽  
History Of ◽  
Personal Accounts ◽  
Personal Reflections ◽  
Distinguished Member

Objective To honor the legacy of John Senders, a distinguished member of the Human Factors and Ergonomics Society, by a short, personal history of him, but then to honor his legacy by extending it through our own professional opinions, with an emphasis on the study of human error and its implications for healthcare systems—two topics in which he excelled. Background The authors are familiar with the topic and subject matter. One was a friend of Senders for over 50 years. Another was a collaborator and joint author with Senders (as well as his stepdaughter). All three authors have extensive publications in the topic areas. Method, Results, and Conclusion The authors used personal accounts of interactions with Senders at conferences, experiences living and working with him, and a brief review of his most personal, notable publications in healthcare. The reflections indicate a strong resonance on Senders’ contributions to system design that are relevant today in healthcare’s most challenging period in its history.

scholarly journals Quantification of the Impact of Factors Affecting the Technical Performance of Operating Room Personnel: Expert Judgment Approach

2021 ◽  
Author(s):  
Khalil Taherzadeh Chenani ◽  
Reza Jafari Nodoushan ◽  
Mehdi Jahangiri ◽  
Farzan Madadizadeh ◽  
Hossein Fallah
Keyword(s):  
Operating Room ◽  
Human Error ◽  
Sampling Technique ◽  
Healthcare Systems ◽  
Negative Influence ◽  
Teaching Hospitals ◽  
Operating Room Personnel ◽  
Human Reliability Analysis ◽  
Technical Performance ◽  
The Impact

Abstract Background: Incorrect assessment of the performance shaping factors (PSFs), especially in healthcare systems may lead to irreversible consequences such as death. The aim of the current study was to adapt PSFs taxonomy given in standardized plant analysis risk human reliability analysis (SPAR-H) technique to surgical context.Methods: Specialists from four teaching hospitals of Yazd city were participated in the current study using convenience sampling technique. PSFs taxonomy of the SPAR-H technique was revised and more context-specific definitions to surgical context were suggested. Step-wise weight assessment ratio analysis (SWARA) and eleven-digit numerical scale were used for quantification of the weight and negative influence rate of the PSFs during surgical processes, respectively. Probability density function (pdf) was used to specify the probability of the negative influence rate values, as well.Results: Nine PSFs were proposed following the SPAR-H taxonomy. Order of the importance of the PSFs was quietly conflicting in terms of weight and negative influence rate. From the perspective of experts, fatigue and threat stress were assessed as the most important PSFs in terms of both weight and negative influence rate. Conclusion: Current study has offered a domain-based understanding for the PSFs particularly in surgical context. Results of this study could be used to evaluate human error behaviors during the performance of high accuracy required tasks in operating room. Moreover, these results could be used in high-risk industries for improving patient safety programs in case of lacking literature in healthcare systems.

Toward Identifying Mild Cognitive Impairment in Hispanic and African American Adults

2017 ◽  
Vol 2 (2) ◽  
pp. 110-116
Author(s):  
Valarie B. Fleming ◽  
Joyce L. Harris
Keyword(s):  
Older Adults ◽  
African American ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Healthcare Access ◽  
Communication Disorders ◽  
Healthcare Systems ◽  
Prevention Education ◽  
Education Management ◽  
African American Adults

Across the breadth of acquired neurogenic communication disorders, mild cognitive impairment (MCI) may go undetected, underreported, and untreated. In addition to stigma and distrust of healthcare systems, other barriers contribute to decreased identification, healthcare access, and service utilization for Hispanic and African American adults with MCI. Speech-language pathologists (SLPs) have significant roles in prevention, education, management, and support of older adults, the population must susceptible to MCI.

An Alternative Method for Identifying a Failed Engine in Twin-Engine Propeller Aircraft

2020 ◽  
Vol 10 (2) ◽  
pp. 103-111
Author(s):  
Andrey K. Babin ◽  
Andrew R. Dattel ◽  
Margaret F. Klemm
Keyword(s):  
Human Error ◽  
Flight Simulator ◽  
Traditional Group ◽  
Aircraft Accidents ◽  
Alternative Method ◽  
Indicator Group ◽  
Group A ◽  
The Dead ◽  
Engine Failure ◽  
And Performance

Abstract. Twin-engine propeller aircraft accidents occur due to mechanical reasons as well as human error, such as misidentifying a failed engine. This paper proposes a visual indicator as an alternative method to the dead leg–dead engine procedure to identify a failed engine. In total, 50 pilots without a multi-engine rating were randomly assigned to a traditional (dead leg–dead engine) or an alternative (visual indicator) group. Participants performed three takeoffs in a flight simulator with a simulated engine failure after rotation. Participants in the alternative group identified the failed engine faster than the traditional group. A visual indicator may improve pilot accuracy and performance during engine-out emergencies and is recommended as a possible alternative for twin-engine propeller aircraft.

Air Traffic Control: Human Error Type Interactions

2006 ◽  
Author(s):  
Larry Bailey ◽  
Julia Pounds ◽  
Carol Manning ◽  
David Schroeder
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
Error Type
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