An Overview of Quality Improvement Processes and Data Analysis in Perioperative Nursing Practice

AORN Journal ◽  
2021 ◽  
Vol 114 (4) ◽  
pp. 294-308
Author(s):  
Shelly S. Peralta ◽  
Kari A. Dodge ◽  
Renata A. Jones
Keyword(s):  
Quality Improvement ◽  
Data Analysis ◽  
Nursing Practice ◽  
Perioperative Nursing

Drilling Data Quality Management: Case Study With a Laboratory Scale Drilling Rig

2018 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Dan Sui ◽  
Bernt S. Aadnoy
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Control System ◽  
Data Analysis ◽  
Quality Management ◽  
Data Quality ◽  
Incomplete Data ◽  
Laboratory Scale ◽  
Data Quality Management ◽  
Drilling Rig

Drilling industry operations heavily depend on digital information. Data analysis is a process of acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that the decision-making, actions executing, events detecting and incident managing of a system can be handled in an efficient and certain manner. This paper aims to provide an approach to understand, cleanse, improve and interpret the post-well or realtime data to preserve or enhance data features, like accuracy, consistency, reliability and validity. Data quality management is a process with three major phases. Phase I is an evaluation of pre-data quality to identify data issues such as missing or incomplete data, non-standard or invalid data and redundant data etc. Phase II is an implementation of different data quality managing practices such as filtering, data assimilation, and data reconciliation to improve data accuracy and discover useful information. The third and final phase is a post-data quality evaluation, which is conducted to assure data quality and enhance the system performance. In this study, a laboratory-scale drilling rig with a control system capable of drilling is utilized for data acquisition and quality improvement. Safe and efficient performance of such control system heavily relies on quality of the data obtained while drilling and its sufficient availability. Pump pressure, top-drive rotational speed, weight on bit, drill string torque and bit depth are available measurements. The data analysis is challenged by issues such as corruption of data due to noises, time delays, missing or incomplete data and external disturbances. In order to solve such issues, different data quality improvement practices are applied for the testing. These techniques help the intelligent system to achieve better decision-making and quicker fault detection. The study from the laboratory-scale drilling rig clearly demonstrates the need for a proper data quality management process and clear understanding of signal processing methods to carry out an intelligent digitalization in oil and gas industry.

scholarly journals Contexto histórico da recuperação anestésica

2018 ◽  
Vol 12 (4) ◽  
pp. 1117
Author(s):  
Cristina Silva Sousa
Keyword(s):  
Patient Safety ◽  
Nursing Practice ◽  
Social Research ◽  
Recovery Period ◽  
Historical Context ◽  
Technical Approach ◽  
Anesthesia Recovery Period ◽  
Perioperative Nursing ◽  
History Of ◽  
Over Time

RESUMOObjetivo: descrever os aspectos históricos da recuperação anestésica evidenciados nas publicações. Método: investigação histórico-social, exploratória e descritiva, com base nas publicações e legislações pertinentes ao exercício da enfermagem no Brasil, representando, dessa forma, o contexto histórico da recuperação anestésica para o reconhecimento e valorização da enfermagem perioperatória. Resultados: nesta evolução histórica, a enfermagem da recuperação anestésica construiu um caminho permeado pelo enfoque técnico, necessidade de assistência individualizada e área crítica com busca de conhecimento científico e processos de acreditação hospitalar para segurança do paciente. No Brasil, iniciada apenas em 1980, a recuperação anestésica dos anos 2000 tem sido baseada na assistência sistematizada, permeada por ações de segurança do paciente em busca de melhor capacitação da equipe. Conclusão: há um movimento da enfermagem brasileira na assistência da recuperação anestésica e aprimoramento destas ações com o decorrer do tempo. Descritores: Enfermagem em Pós-Anestésico; Período de Recuperação da Anestesia; História da Enfermagem; Enfermagem Perioperatória.ABSTRACT Objective: to describe the historical aspects of anesthesia recovery evidenced in the publications. Method: this is an exploratory and descriptive historical-social research, based on the publications and legislation about nursing practice in Brazil, representing the historical context of the anesthetic recovery for the recognition and valuation of perioperative nursing. Results: In this historical evolution, the nursing of the anesthetic recovery built a path permeated by the technical approach, need for individualized assistance and critical area, with a search of scientific knowledge and hospital accreditation processes for patient safety. In Brazil, initiated only in 1980, the anesthetic recovery of the 2000s has been based on systematized assistance, permeated by patient safety actions in search of better team training. Conclusion: there is a movement of the Brazilian nursing with the assistance of the anesthetic recovery and improvement of these actions over time. Descriptors: Post-Anesthesia Nursing, Anesthesia Recovery Period, History of Nursing, Perioperative Nursing.RESUMEN Objetivo: describir los aspectos históricos de la recuperación anestésica evidenciados en las publicaciones. Método: investigación histórico-social, exploratoria y descriptiva, con base en las publicaciones y legislaciones pertinentes al ejercicio de la enfermería en Brasil, representando de esa forma el contexto histórico de la recuperación anestésica para el reconocimiento y valorización de enfermería peri-operatoria. Resultados: en esta evolución histórica, la enfermería de la recuperación anestésica construye un camino lleno de un enfoque técnico, necesidad de asistencia individualizada y área crítica, con busca de conocimiento científico y procesos de acreditación hospitalaria para seguridad del paciente. En Brasil, iniciada apenas en 1980, la recuperación anestésica de los años 2000 ha sido basada en la asistencia sistematizada, permeada por acciones de seguridad del paciente en busca de mejor capacitación del equipo. Conclusión: hay un movimiento de la enfermería brasilera en la asistencia de la recuperación anestésica, y mejoramiento de estas acciones con el curso del tiempo. Descriptores: Enfermería Pos anestésica, Periodo de Recuperación de la Anestesia, Historia de la Enfermería, Enfermería Peroperatoria.

Quality improvement tools for nursing practice

2019 ◽  
Vol 17 (3) ◽  
pp. 47-51
Author(s):  
Turna L. Harkness ◽  
Richard L. Pullen
Keyword(s):  
Quality Improvement ◽  
Nursing Practice

scholarly journals Comments on: involving service users in the qualitative analysis of patient narratives to support healthcare quality improvement

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Marney Williams ◽  
Mike Etkind ◽  
Fran Husson ◽  
Della Ogunleye ◽  
John Norton
Keyword(s):  
Quality Improvement ◽  
Data Analysis ◽  
Healthcare Quality ◽  
English Summary ◽  
Service Users ◽  
Research Projects ◽  
Period Analysis ◽  
Patient Narratives ◽  
Time Period ◽  
Alternative Approach

Plain English summary Some previous researchers (Locock et al) have written about what may be the best way for public contributors to be involved in data analysis in research projects. Their experience has been that giving public contributors large amounts of text to read is not the best use of their time and experience. They have recommended that a better approach would be for a researcher to meet with a group of users at the start of analysis, to discuss what to look out for. However, as another patient group that has been involved in analysis, we think differently. The approach we used was to be more fully involved in the project over a longer time period. Analysis tasks were broken down into stages to make it easier for those taking part. We found that this allowed us to take part fully without placing too much burden on us. We found that our approach was workable and successful and see no reason why it could not be applied in other circumstances. Abstract In this journal, Locock et al. have suggested that service users should not be overburdened with large amounts of data, and that eliciting users’ reflections on their experience at the start of analysis and using this as a guide to direct researcher attention during the remainder of the process may work better. As public contributors that have been involved in analysis we suggest an alternative approach in this brief letter, based on our own experiences.

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