Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making

2020 ◽  
pp. 93-114
Author(s):  
Sheba Selvam ◽  
Blessy Selvam ◽  
J. Naveen
Keyword(s):  
Decision Making ◽  
Root Cause Analysis ◽  
Ensemble Model ◽  
Cause Analysis ◽  
Intelligent Decision Making ◽  
Root Cause ◽  
Intelligent Decision

scholarly journals Flexible, Capable, Adaptable: A Dynamic Allied Health Workforce

2017 ◽  
Vol 12 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Kerry May ◽  
Fiona McAlinden ◽  
Michael Splawa-Neyman ◽  
Michelle O'Rourke ◽  
Tamica Sturgess
Keyword(s):  
Decision Making ◽  
Allied Health ◽  
Root Cause Analysis ◽  
Flexible Work Arrangements ◽  
Flexible Work ◽  
Cause Analysis ◽  
Work Arrangements ◽  
Root Cause ◽  
Flexible Work Arrangement ◽  
Work Arrangement

Objective: The Allied Health Executive at a major Metropolitan Health Service was experiencing an increasing number of flexible work requests and was keen to ensure that local and legislative requirements were met, our highly skilled and specialist staff were supported to remain in the workforce as their life outside work changed and the operational demands of a bed-based service delivery model were not negatively impacted. Design: A root cause analysis was completed identifying three main contributing factors for the current, adhoc approach to flexible work requests. Current and past flexible work participants were surveyed, along with their managers and the Nurse Unit Managers of the clinical work areas. A literature review and environmental scan regarding frameworks for decision making for and supporting flexible work requests was undertaken. Findings: There was a lack of consistent information as to how to establish and manage a flexible work request. There had been an historical view that flexible work requests were difficult to operationalise and there were missed experiences with flexible work arrangements for the people involved, their managers and their colleagues. Outcome measures: The combined data was then utilised to develop a framework to support decision-making around whether a role could operate as a flexible work arrangement. A framework on how to best support the staff considering and entering into these arrangements to ensure all the benefits of a flexible work arrangement are realised and many of the challenges minimised was also developed. Conclusion: Flexible work arrangements should be considered in appropriate circumstances, and will have the best opportunity for success when supported by a consistent, evidenced-based framework. Abbreviations: EFT – Equivalent Full Time; RCA – Root Cause Analysis.

scholarly journals A Management of the conflict for entrepreneurial innovation at a transnational company located in Mexico

2017 ◽  
Vol 8 (3) ◽  
pp. 1073
Author(s):  
Tania Elena Gonzalez Alvarado ◽  
José Sánchez Gutiérrez
Keyword(s):  
Decision Making ◽  
Root Cause Analysis ◽  
Decision Making Process ◽  
Cause Analysis ◽  
Root Cause ◽  
Entrepreneurial Innovation ◽  
Survey Interviews ◽  
Transnational Company

 The objective of this work is to analyse how conflict gives way to entrepreneurial innovation – before the non-compatibility between Universalism-particularism at the subsidiary of a transnational company located in Mexico. The evidence was obtained by means of a survey, interviews, analysis of electronic mails, minutes of work, project documents and systemic observation. For this research the SPSS and the root cause analysis were required. Conflict derived from non-compatibility between Universalism and Particularism lead to a more accurate decision making process. 

The Cognitive Autopsy

2020 ◽  
Author(s):  
Pat Croskerry
Keyword(s):  
Decision Making ◽  
Adverse Events ◽  
Cognitive Processes ◽  
Medical Error ◽  
Cognitive Biases ◽  
Root Cause Analysis ◽  
Cognitive Approach ◽  
Cause Analysis ◽  
Near Misses ◽  
Root Cause

Behind heart disease and cancer, medical error is now listed as one of the leading causes of death. Of the medical errors that lead to injury and death, diagnostic failure is regarded as the most significant. Generally, the majority of diagnostic failures are attributed to the clinicians directly involved with the patient, and to a lesser extent, the system in which they work. In turn, the majority of errors made by clinicians is due to decision making failures manifested by various departures from rationality. Of all the medical environments in which patients are seen and diagnosed, the emergency department is the most challenging. It has been described as a ‘wicked’ environment where illness and disease may range from minor ailments and complaints to severe, life-threatening disorders. The Cognitive Autopsy is a novel strategy towards understanding medical error and diagnostic failure in 42 clinical cases with which the author was directly involved or became aware of at the time. Essentially, it describes a cognitive approach towards root cause analysis of medical adverse events or near misses. Whereas root cause analysis typically focuses on the observable and measurable aspects of adverse events, the cognitive autopsy attempts to identify covert cognitive processes that may have contributed to outcomes. In this clinical setting, no cognitive process is directly observable but must be inferred from the behaviour of the individual clinician. The book illustrates unequivocally that chief among these cognitive processes are cognitive biases and other flaws in decision making, rather than knowledge deficits.

Root Cause analysis of SG tube ODSCC indications within the tube sheets of NPP biblis unit A

2011 ◽  
pp. 78-86
Author(s):  
R. Kilian ◽  
J. Beck ◽  
H. Lang ◽  
V. Schneider ◽  
T. Schönherr ◽  
...  
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause
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