Search results for "Root cause"

showing 6 items of 6 documents

Attitudes of Undergraduate Nursing Students towards Patient Safety: A Quasi-Experimental Study

2021

Improving nursing students’ attitudes towards patient safety is a current and relevant topic. This study aims to evaluate the effectiveness of an educational intervention based on critical incident and root cause analysis (RCA) techniques regarding attitudes towards patient safety in nursing students. A quasi-experimental before and after study was developed between January 2018 and December 2019 in a sample of 100 nursing students at Universitat Jaume I (Spain). The intervention was developed in two phases. Phase I was at university, where students applied the RCA technique in a real case. Phase II took place during clinical practice. Students used critical incidents to identify a risk sit…

Attitude of Health PersonnelUndergraduate nursingHealth Toxicology and Mutagenesismedia_common.quotation_subjectcompetencelcsh:MedicineArticle03 medical and health sciencesPatient safety0302 clinical medicineSurveys and QuestionnairesIntervention (counseling)Quasi experimental studypatient safetyHumansPacients030212 general & internal medicineNurse educationCompetence (human resources)media_commonMedical educationTeamworkcritical incident technic030504 nursinglcsh:RPublic Health Environmental and Occupational HealthEducation Nursing Baccalaureatenurse educationSpainroot cause analysisattitudeStudents NursingInfermeria Ensenyament0305 other medical sciencePsychologyRoot cause analysisInternational Journal of Environmental Research and Public Health
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What Do We Know About the Second Moment of Financial Markets?

2021

Recent research shows that the vast majority of scientific studies published in leading finance journals fails scientific replication (Hou, Xue, and Zhang, 2020; Harvey, Liu, and Zhu; 2016). This study argues that p-hacking, publication pressure and the selection bias from leading finance journals are perhaps not the underlying root cause for this issue. We show that standard methodologies often used in finance research are inevitably sample-specific due to the very nature of financial markets. While the consensus of earlier research postulates a rejection of the time-honored Levy hypothesis, our results strongly indicate that the variance of variance does not exist in any of the financial …

Selection biasUnexpected findingFinancial economicsmedia_common.quotation_subjectZhàngFinancial marketExtreme eventsEconomicsLiberian dollarVariance (accounting)Root causemedia_commonSSRN Electronic Journal
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Root cause analysis of large scale application testing results

2015

In this paper we present a new root cause analysis algorithm for discovering the most likely causes of the differences found in testing results of two versions of the same software. The problematic points in test and environment attribute hierarchies are presented to the user in compact way which in turn allows to save time on test result processing. We have proven that for clearly separated problem causes our algorithm gives exact solution. Practical application of described method is discussed.

Scale (ratio)Computer science020209 energyApplied Mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSoil scienceRoot cause analysis regression testing hierarchy graphs.02 engineering and technologyRoot cause analysisInformation Systems
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A root cause analysis method for preventing erratic behavior in software development: PEBA

2019

Measures taken to prevent faults from being introduced or going undetected can secure development of highly reliable software systems. One such measure is analyzing root causes of recurring faults and preventing them from appearing again. Previous methods developed for this purpose have been reactive in nature and relied heavily on fault reporting mechanisms of ogranizations. Additionally, previous efforts lack a defined mechanism for innovating corrective actions. In this study, we strive to complement the existing methods by introducing a proactive and qualitative method that does not rely on fault data. During the course of the research, in addition to an extensive literature search, an …

Root (linguistics)Computer sciencefault removalohjelmistotekniikka0211 other engineering and technologiesfault preventionContext (language use)quality assurance02 engineering and technologyFault (power engineering)Industrial and Manufacturing EngineeringField (computer science)Software systemsoftware process improvementSafety Risk Reliability and Quality021110 strategic defence & security studies021103 operations researchbusiness.industrytietokoneohjelmatSoftware developmentProactivitysoftware reliabilityRisk analysis (engineering)root cause analysisohjelmistokehitysRoot cause analysisbusinessReliability Engineering & System Safety
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Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence

2020

Increasing the sustainability of a system can be achieved by evaluating the system, identifying the issues and their root cause and solving them. Performance evaluation translates into key performance indicators (KPIs) with a high impact on increasing overall efficacy and efficiency. As the pool of KPIs has increased over time in the context of evaluating the supply chain management (SCM) system&rsquo

neural networkComputer scienceSupply chainAutomotive industryBioengineeringContext (language use)010501 environmental scienceslcsh:Chemical technologyrisk management01 natural scienceslcsh:Chemistry0502 economics and businessChemical Engineering (miscellaneous)lcsh:TP1-1185Risk management0105 earth and related environmental sciencesSupply chain managementbusiness.industryProcess Chemistry and Technology05 social sciencesdata miningRoot causeartificial intelligenceperformance evaluationlcsh:QD1-999key performance indicatorManagement systemArtificial intelligencePerformance indicatorbusiness050203 business & managementProcesses
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Predictions in Resilient Hybrid AC/DC Grids Leveraged by an Interoperable and Secure ICT Platform

2022

Power systems are undergoing a significant change and the main elements to address the new challenges is the new key-role played by the distribution grid and its transformation into a smart grid. While the distribution grid has traditionally operated with alternating current (AC), nowadays most devices operate with DC internally, and most distributed renewable resources generate power in DC. Furthermore, storage components, such as batteries and supercapacitors, have a DC character. DC seems to be the one of the most promising candidates to avoid stranded investments and to guarantee incredible saving for the community in Europe, making the transition to a fully decarbonised energy system a…

Settore ING-IND/33 - Sistemi Elettrici Per L'Energiahybrid gridsroot cause analysiscommunication platforminteroperabilitycascading effectresilienceFIWARE2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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