Management of medical equipment reprocessing procedures: A human factors/system reliability perspective

2012 ◽  
pp. 705-714
Keyword(s):  
Human Factors ◽  
System Reliability ◽  
Medical Equipment

Human factors assessment of International Space Station (ISS) medical equipment packs

2005 ◽  
Author(s):  
Danielle Paige Smith ◽  
Vicky E. Byrne ◽  
Cynthia Hudy ◽  
Mihriban Whitmore
Keyword(s):  
Human Factors ◽  
International Space Station ◽  
Medical Equipment ◽  
Space Station ◽  
International Space

Usage and Maintenance of Medical Apparatus and Instruments of Human Factors Research

2014 ◽  
Vol 651-653 ◽  
pp. 1691-1694
Author(s):  
Jin Liang Zhang
Keyword(s):  
Human Factors ◽  
Clinical Diagnosis ◽  
Preventive Maintenance ◽  
Medical Equipment ◽  
Medical Instrument ◽  
Medical Apparatus ◽  
Technical Personnel ◽  
Effective Operation ◽  
Apparatus And Instruments ◽  
Human Factors Research

Medical equipment maintenance and use of personnel, is crucial. Used properly and rational division of engineering and technical personnel, strict management, to train engineering technical personnel with professional spirit, all-round for clinical medical services; To strengthen the training of equipment use of personnel, highlight the preventive maintenance and maximize or prolonged trouble-free of medical instrument equipment, ensure the effective operation of the clinical diagnosis and treatment work.

The Human Factors of Reprocessing Reusable Medical Equipment

2019 ◽  
pp. 303-314
Author(s):  
Emily A. Hildebrand ◽  
L. Bryant Foster ◽  
Russell J. Branaghan
Keyword(s):  
Human Factors ◽  
Medical Equipment

Analysis, Redesign, and Evaluation of a Patient-Controlled Analgesia Machine Interface

1995 ◽  
Vol 39 (11) ◽  
pp. 738-741 ◽  
Author(s):  
Laura Lin ◽  
Racquel Isla ◽  
Karine Doniz ◽  
Heather Harkness ◽  
Kim J. Vicente ◽  
...  
Keyword(s):  
Human Factors ◽  
Experimental Evaluation ◽  
Task Analysis ◽  
Medical Equipment ◽  
Cognitive Task ◽  
Design Principles ◽  
Cognitive Task Analysis ◽  
Patient Controlled Analgesia ◽  
Reliable Performance ◽  
Machine Interface

The hypothesis explored in this paper is that, by adopting human factors design principles, the use of medical equipment can be made safer and more efficient We have selected a commercially available patient-controlled analgesia (PCA) machine as a vehicle to test this hypothesis. A cognitive task analysis of PCA usage, combined with a set of human factors design principles, led to a redesigned PCA interface. An experimental evaluation was conducted, comparing this new interface with the existing interface. The results show that the new interface leads to significantly faster, less effortful, and more reliable performance. These findings have implications for improving the design of other medical equipment.

Contribution of Technical and Human Factors to “No Fault Found” Events

2017 ◽  
Vol 61 (1) ◽  
pp. 1679-1679
Author(s):  
Spencer Eggen ◽  
Farzan Sasangohar
Keyword(s):  
Environmental Factors ◽  
Human Factors ◽  
Case Studies ◽  
Medical Equipment ◽  
Failure Modes ◽  
Ford Motor Company ◽  
Consumer Electronics ◽  
Automotive Electronics ◽  
Testing Procedures ◽  
The Impact

Multicomponent products that combine hardware and software (cars, airplanes, and telephones, to name a few) are everywhere in our lives. The commercial release of such products is a compromise between performance capabilities, competitive pricing, and time to market (Challa, Rundle, & Pecht, 2013). As product performance increases, system complexity and the number of failure modes also increase. Of particular importance are “No Fault Found” (NFF) events that occur when a user records a system error and subsequent investigations fail to uncover the reason for the system malfunction – the root cause is unknown (Jones & Hayes, 2001). NFF can result in high warranty costs, product recalls, and diminished reputation (Challa et al., 2013). Surprisingly, most organizations do not explicitly calculate the costs of NFF or use a framework to estimate them (Erkoyuncu, Khan, Hussain, & Roy, 2016). A defining aspect of NFF is the discrepancy between actual and anticipated use conditions (Challa et al., 2013). Anticipated use is often defined by qualification, the passing of tests that demonstrate when a product meets nominal design and manufacturing specifications (Challa et al., 2013). A popular form of qualification is standards-based testing due to its speed, low cost, and applicability to many products (Challa et al., 2013). Standards such as Military Standard (MIL-STD) meet these criteria, but are often inappropriate for specific, actual-use conditions in the field. For example, the Ford Motor Company designed thick film integrated (TFI) ignition modules based on a set of laboratory standards. Cars used in hot climates experienced numerous failures that were initially classified as NFF (because these failures could not be reproduced under the milder laboratory conditions) (Thomas et al., 2002). One remedy to this problem would be to adopt more stringent engineering specifications for qualification. In this research, we analyzed NFF across four industries – automotive electronics, aerospace, medical equipment, and consumer electronics. The analysis is based on four contributors to NFF: testing procedures, intermittent failures, environmental factors, and human factors. Intermittent failures are the re-appearance of equipment failure after remedial actions have taken place (Thomas et al., 2002). Environmental factors (also referred to as environmental monitoring) are the context (or “background”) conditions in which the NFF event occurs. These factors can take on a variety of forms, from vibration and humidity in an aircraft to the diverse demographics of users of a consumer electronic product (Kim & Christiaans, 2016; Moffat, Abraham, Desmulliez, Koltsov, & Richardson, 2008). Case studies (representing each of the four industries) demonstrate that the existing strategies for reducing the occurrence of NFF events are limited. Addressing the four contributors to NFF (testing procedures, intermittent failures, environmental factors, and human factors) allows for the development of a systematic approach to reduce these events. First, one must distinguish between “hard” and “soft” failures. Hard failures are technical or equipment reliability failures (den Ouden, Yuan, Sonnemans, & Brombacher, 2006; Kushniruk & Patel, 2004). Soft failures occur when products fail to meet usability expectations, despite functioning from a technical, reliability standpoint (den Ouden et al., 2006). Hard failures are relevant to the aerospace and automotive electronics industry case studies, while soft failures pertain to medical equipment and consumer electronics. Analysis reveals a number of key insights, including the impact of proper failure classification (what is or is not a NFF event). Proper classification enables organizations to quantify how products perform in the field and which corrective actions are needed to improve reliability and usability.

scholarly journals Lack of Correlation between Age and/or Gender with the Force Utilized in Cleaning an Anesthesia Machine

2013 ◽  
Vol 47 (4) ◽  
pp. 343-346
Author(s):  
Kathryn M. Gold ◽  
Anne Lucas ◽  
Victoria M. Hitchins
Keyword(s):  
Human Factors ◽  
Medical Devices ◽  
Medical Equipment ◽  
Anesthesia Machine ◽  
Equipment Design ◽  
Artificial Blood

Several human factors influence the cleaning of reusable medical devices and equipment. This study evaluated whether a correlation exists between age and/or gender of a person cleaning, with the force applied to remove artificial blood soil on the surface of an anesthesia machine. The findings from this study may be used to increase our understanding of human factors in the cleaning of reusable medical equipment and suggest improvements in equipment design to address issues of concern.

Sign in / Sign up

Export Citation Format

Share Document