scholarly journals How to Reduce Diagnosis Errors?

2020 ◽  
Vol 20 (1) ◽  
pp. 251-253
Author(s):  
Yusuf Üstü ◽  
Basri Furkan Dağcıoğlu
Keyword(s):  
Diagnosis Errors

scholarly journals An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3832
Author(s):  
Awwal Mohammed Arigi ◽  
Gayoung Park ◽  
Jonghyun Kim
Keyword(s):  
Decision Tree ◽  
Nuclear Power ◽  
Power Plants ◽  
Human Error ◽  
Cognitive Activity ◽  
Emergency Operation ◽  
Nuclear Industry ◽  
Working Environment ◽  
Control Rooms ◽  
Diagnosis Errors

Advancements in the nuclear industry have led to the development of fully digitized main control rooms (MCRs)—often termed advanced MCRs—for newly built nuclear power plants (NPPs). Diagnosis is a major part of the cognitive activity in NPP MCRs. Advanced MCRs are expected to improve the working environment and reduce human error, especially during the diagnosis of unexpected scenarios. However, with the introduction of new types of tasks and errors by digital MCRs, a new method to analyze the diagnosis errors in these new types of MCRs is required. Task analysis for operator diagnosis in an advanced MCR based on emergency operation was performed to determine the error modes. The cause-based decision tree (CBDT) method—originally developed for analog control rooms—was then revised to a modified CBDT (MCBDT) based on the error mode categorizations. This work examines the possible adoption of the MCBDT method for the evaluation of diagnosis errors in advanced MCRs. We have also provided examples of the application of the proposed method to some common human failure events in emergency operations. The results show that with some modifications of the CBDT method, the human reliability in advanced MCRs can be reasonably estimated.

Approach to the Diagnosis of Skin Disease

2017 ◽  
Author(s):  
Robert T Brodell ◽  
Stephen E Helms ◽  
Lindsey B Dolohanty
Keyword(s):  
Key Words ◽  
Skin Disease ◽  
Skin Diseases ◽  
Suggested Approach ◽  
Diagnostic Skills ◽  
Diagnosis Errors

The diagnosis of skin disease is not something that changes radically year to year. In fact, for hundreds of years physicians have been assessing the skin to diagnose and treat skin diseases and  to “view” internal diseases. The latest edition of this review provides several updates that enhance our approach to the diagnosis of skin disease with active links to updated digital references and atlases. These will be valuable to students, residents, and physicians interested in improving their dermatologic diagnostic skills. A new algorithm highlights our suggested approach to cutaneous diagnoses. It is our hope that readers will begin to “think like dermatologists” as they digest the contents of this review.  Key words: Macule, papule, vesicle, bulla, plaque, excoriation, scale, ulceration, diagnosis, errors This review contains 13 figures, 5 tables, 17 references, and 7 additional readings.

scholarly journals Giant Tonsil Teratoma

2017 ◽  
Vol 23 (1) ◽  
pp. 1-4
Author(s):  
D. Dinca
Keyword(s):  
Respiratory Failure ◽  
Swallowing Difficulties ◽  
Study Case ◽  
Slow Evolution ◽  
Diagnosis Errors ◽  
Left Tonsil

Abstract The case presented is one extremely rare of giant tonsil teratoma with oropharynx localization, with palatine left tonsil origin, inducing respiratory failure, swallowing and phonetic disorders. This paper is based in a study case of a giant tonsil pediculous teratoma with slow evolution, with tolerancy, due to some diagnosis errors, developing respiratory failure and swallowing difficulties.

Approach to the Diagnosis of Skin Disease

2018 ◽  
Author(s):  
Robert T Brodell ◽  
Stephen E Helms ◽  
Lindsey B Dolohanty
Keyword(s):  
Key Words ◽  
Skin Disease ◽  
Skin Diseases ◽  
Suggested Approach ◽  
Diagnostic Skills ◽  
Diagnosis Errors

The diagnosis of skin disease is not something that changes radically year to year. In fact, for hundreds of years physicians have been assessing the skin to diagnose and treat skin diseases and  to “view” internal diseases. The latest edition of this review provides several updates that enhance our approach to the diagnosis of skin disease with active links to updated digital references and atlases. These will be valuable to students, residents, and physicians interested in improving their dermatologic diagnostic skills. A new algorithm highlights our suggested approach to cutaneous diagnoses. It is our hope that readers will begin to “think like dermatologists” as they digest the contents of this review.  Key words: Macule, papule, vesicle, bulla, plaque, excoriation, scale, ulceration, diagnosis, errors This review contains 13 figures, 5 tables, 17 references, and 7 additional readings.

DIAGNOSIS ERRORS AND TREATMENT TACTICS FOR ACUTE ARTERIAL OBSTRUCTION OF THE UPPER LIMB (LITERATURE REVIEW)

2017 ◽  
Vol 22 (6-2) ◽  
pp. 1629-1636
Author(s):  
А.К. Zugurov ◽  
◽  
D.D. Sultanov ◽  
A.V. Gulin ◽  
F.M. Tukhtaev ◽  
...  
Keyword(s):  
Literature Review ◽  
Upper Limb ◽  
Diagnosis Errors

Quantitative analysis of diagnosis errors in the models of electronics preventive maintenance processes

2017 ◽  
Author(s):  
Alexander Lyubchenko ◽  
Joaquin A. Pacheco ◽  
Vasilii A. Maystrenko ◽  
Evgeny Y. Kopytov ◽  
Sergey S. Lutchenko ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Preventive Maintenance ◽  
Diagnosis Errors

scholarly journals Diagnosis Errors in French Emergency Department: Lessons from the Insurer

2018 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Frederic Fuz ◽  
Yann-Erick Claessens ◽  
Melanie Autran ◽  
Alexandra Hombreux ◽  
Alexandre Theissen
Keyword(s):  
Emergency Department ◽  
Diagnosis Errors

scholarly journals Finding and fixing diagnosis errors: can triggers help?

2011 ◽  
Vol 21 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Gordon D Schiff
Keyword(s):  
Diagnosis Errors

Monitoring process for attributes with quality deterioration and diagnosis errors

2007 ◽  
Vol 23 (4) ◽  
pp. 339-358 ◽  
Author(s):  
Anderson Laécio Galindo Trindade ◽  
Linda Lee Ho ◽  
Roberto da Costa Quinino
Keyword(s):  
Quality Deterioration ◽  
Monitoring Process ◽  
Diagnosis Errors
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