Georges Naoufal · 2024
This critical literature evaluation examines the advantages and difficulties of adopting digital innovation and continuous auditing and continuous monitoring (CA/CM) programs in the public sector. The study highlights the merits and flaws of the literature that has already been published in this field while also summarizing its recommendations. The assessment highlights the advantages of digital innovation, emphasizing artificial intelligence (AI) and technology CA/CM enablers. The context, internal control, and risk framework are discussed, along with the necessity of CA/CM, its advantages, and strategies for implementation. Real-time insight and supporting technologies like data analytics and business intelligence (BI) methods are among the other prevalent motivations for CA/CM in the public sector highlighted in the research. The talk examines automation in CA/CM, covering process workflows and rule-based robotic process automation (RPA). The article ends with a discussion of the future of CA/CM, policy suggestions, research into development areas, and the difficulties and setbacks involved in putting these efforts into action.
Cited by 2
Yongbum Kim · Rutgers University Community Repository (Rutgers University) · 2011
A company’s internal control system is a crucial factor for operational effectiveness and efficiency. A properly designed internal control system adds reliability to a company’s financial information by preventing, detecting, and correcting erroneous or fraudulent transactions on timely basis. A series of financial scandals in the late ‘90s and the early 2000s resulted in the passage of the Sarbanes-Oxley Act (hereinafter SOX) in 2002, mandating public companies to implement, evaluate, and report on the quality of their internal control systems. Although various internal control requirements are mandated by SOX, there is a lack of clear and detailed guidelines about what and how companies should implement internal control mechanisms into their systems. This study intends to shed some light on these issues by proposing and testing two anomaly detection models utilizing transactional data from a bank and an insurance company. This study makes several contributions to research on anomaly detection. First, this study provides a detailed guideline for the development of an anomaly detection model that is implementable and understandable by internal auditors. Second, it proposes anomaly detection models at a transactional level with unlabeled (i.e. unclassified) data that is more realistic and useful in practice. Finally, it shows that the process of developing an anomaly detection model helps to identify weakly-controlled or risky areas. The first chapter introduces general concepts about internal control systems and the research purpose of this study. The next chapter summarizes and discusses literature related to internal control systems and anomaly detection. The third chapter consists of two essays that investigate the implementation of anomaly detection models with transactional level data. In these studies, transactions from transitory accounts of a bank and from wire transfer payment systems of an insurance company are investigated to show feasible implementation processes of anomaly detection models. The fourth chapter concludes this study by discussing limitations and directions for future research.
Cited by 3Open access
2017
We have seen the implementation of permanent reservoir monitoring systems evolve over the past ten years from a point-sampling technique to a more pervasive and comprehensive network of downhole intelligent wellbores furnishing real-time data streams via fiber-optic cables. We have moved from the 2D monitoring systems to a 3D immersive visualization of the entire reservoir. The 4D seismic attributes taken from the observation, production, and injector wells have extended our insights and heightened the frequency of our decision-making cycles through data-driven analytical workflows. These methodologies rely heavily on the artificial intelligence technologies that have spawned machine learning and deep learning soft-computing techniques to automate the analysis of the massive datasets that are streaming in real-time from the instrumented wells.
Cited by 1
D James · PubMed · 1979
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Douglas A. James · Urologic Clinics of North America · 1979
Cited by 26
Karen Walsh · 2023
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Hernan Murdock · 2021
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Dragan Stojanovic, Apostolos N. Papadopoulos, Bratislav Predic et al. · 2008
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Dana Lewis, Tamara K. Oser, Benjamin J. Wheeler · BMJ · 2023
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O.I. Barkved · 2004
A field‐wide permanent seismic receiver array was installed at the Valhall field during 2003. This allows for frequent time‐lapse surveys , since repeat surveys are cheap, and also provides opportunities for passive monitoring. This style of continuous seismic monitoring establishes the capability for active reservoir management, with implications for many other oilfields, worldwide. The data quality from the new array appears to be very good, and 4D seismic responses from 3 months of production/injection have been confirmed. A basic workflow for analyzing some facets of the data has been established, while most of the vector‐based attributes are still at the concept stage. Fortunately, the results from earlier analysis of previous multi‐component data sets help provide background for the work. Since we are dealing with a compacting reservoir and subsiding overburden, insights and ability to do rock mechanical deformation modeling will be critical to getting optimal results.
Cited by 19
Ruqayya Abdulrahman, Miklos A. Vasarhelyi · SSRN Electronic Journal · 2023
Cited by 0Open access
Kaushik Pandit · Indian Journal of Endocrinology and Metabolism · 2012
Continuous glucose monitoring (CGM) technology with its recent development in the real-time feedback has got the potential to revolutionize diabetes care in the near future in the arena of the rapeutic interventions and flexibility in variations in lifestyle or dietary intake. CGM has made the attainment of near-normal blood glucose concentrations, a practical goal for most patients with diabetes.
Cited by 9Open access
JacQualine Renee Abbe, Christian O'Keeffe · Journal of Nursing Care Quality · 2022
Successful metric analysis can inform initiatives to grow CVM programs, which, in turn, support a culture of safety at large academic medical centers for at-risk populations.
Cited by 1Open access
Silva, Cláudia Patrícia Longras Gomes · RepositóriUM (Universidade do Minho) · 2022
Atualmente, existem cada vez mais regulamentos e obrigações legais a serem aplicadas pelas organizações, que dependem da sua localização, indústria e geografia. Para verificar se estão a ser cumpridas as obrigações e regulamentos legais, a organização precisa de criar controlos e executar ativamente a revisão dos mesmos, resultando num aumento da carga de trabalho dos proprietários dos controlos. A solução de monitorização contínua de controlos emergiu da governação, risco e conformidade, ajudando a organização a reduzir a carga sobre os proprietários dos controlos, uma vez que não é preciso de fazer ativamente a revisão dos controlos. Esta solução permite aos proprietários dos controlos realizar mais atividades de valor acrescentado, ajudando a proporcionar melhorias significativas nos processos de negócio. A monitorização contínua de controlos pode ajudar a reduzir custos de conformidade e o risco de erros e fraudes involuntárias. Para a implementação desta solução foi utilizado o ServiceNow, que fornece uma plataforma de aplicação como um serviço (aPaaS – Application Platform-as-a-Service). O ServiceNow fornece uma solução moderna, fácil de utilizar e de gestão de serviços na nuvem, que permite às organizações automatizarem processos manuais e repetíveis, padronizarem a prestação de serviços e concentrarem se no negócio principal. O objetivo desta dissertação é avaliar se a plataforma ServiceNow consegue implementar a monitorização contínua de controlos, permitindo ter uma visão integrada e em tempo real dos riscos e controlos empresariais em todos os processos. O resultado final foi positivo e através dele foi possível ter em tempo real o grau de compliance de um caso de uso de Gestão de Mudança.
Cited by 0Open access
Mohamed Radhi, Nor Ain · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · 2022
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Richard M. Bergenstal, Thomas W. Martens, Roy W. Beck · JAMA · 2025
This JAMA Insights discusses continuous glucose monitoring use among individuals with type 2 diabetes, including types of devices, evidence of effectiveness, and adverse effects and contraindications.
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Christian F. Poets · 2012
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David C. Klonoff · Diabetes Care · 2005
Continuous glucose monitoring provides maximal information about shifting blood glucose levels throughout the day and facilitates the making of optimal treatment decisions for the diabetic patient. This report discusses continuous glucose monitoring in terms of its purposes, technologies, target populations, accuracy, clinical indications, outcomes, and problems. In this context, the medical literature on continuous glucose monitoring available through the end of 2004 is reviewed.
Continuous glucose monitoring provides information about the direction, magnitude, duration, frequency, and causes of fluctuations in blood glucose levels. Compared with conventional intensified glucose monitoring, defined as three to four blood glucose measurements per day, continuous monitoring provides much greater insight into glucose levels throughout the day. Continuous glucose readings that supply trend information can help identify and prevent unwanted periods of hypo- and hyperglycemia.
The difference between an intermittent and a continuous monitor for monitoring blood glucose is similar to that between a regular camera and a continuous security camera for monitoring an important situation. A regular camera takes discrete, accurate snapshots; its pictures do not predict the future; it produces a small set of pictures that can all be carefully studied; and effort is required to take each picture. A continuous security camera, on the other hand, takes multiple, poorly focused frames; displays a sequential array of frames whose trend predicts the future; produces too much information for each frame to be studied carefully; and operates automatically after it is turned on. The two types of blood glucose monitors differ in much the same way: 1 ) an intermittent blood glucose monitor measures discrete glucose levels extremely accurately, whereas a continuous monitor provides multiple glucose levels of fair accuracy; 2 ) with an intermittent monitor, current blood glucose levels do not predict future glucose levels, but with a continuous monitor, trends in glucose levels do have …
Cited by 718
Filtration & Separation · 2001
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Darrel G. Talley, Joel A. Johnson, John E. Pilzer · American Water Works Association · 1972
In most water‐treatment plants, a sizable portion of the initial invest ment, not considering distribution costs, goes into facilities for the removal of turbidity. Continuous turbidity monitoring can be effec tively used to obtain more effective and efficient use of these facilities.
Cited by 5