Compliance Model Research Articles

Towards a Strategic IT GRC Framework for Healthcare Organizations

The rapidly changing healthcare market requires healthcare institutions to adjust their operations to address regulatory, strategic, and other risks. Healthcare organizations use a wide range of IT systems producing large amounts of sensitive and confidential data. However, few tools are available to measure the data governance activities of healthcare institutions and align healthcare data management with legislation. The Governance, Risk, and Compliance (GRC) Model focused on integrating that ability to achieve organizational goals. The demand for corporate governance is crucial for protecting the healthcare system from risks. An adaptation of a modified version that includes strategy, processes, technology, people, as well as legal and business requirements was developed to analyze the factors affecting IT GRC implementation in healthcare organizations. Although about 48% of participants reported that their organizations implemented IT GRC programs, 16% stated that they are considering implementing IT GRC programs soon. In almost 71% of healthcare organizations, IT governance, risk management, and compliance are integrated. Among the factors influencing the implementation of IT GRC programs in Saudi healthcare organizations, legal context ranked as the most critical, followed by process, strategy, then technology, business, and finally, people contexts. This study shows that healthcare organizations must assess various factors for the effective implementation of IT GRC activities.

Compliance and Dynamic Modeling of General Notch Flexure Hinges Using a Beam Transfer Matrix

Compliance and Dynamic Modeling of General Notch Flexure Hinges Using a Beam Transfer Matrix

АНАЛІЗ МЕТОДІВ СТЕГАНОГРАФІЧНОЇ ПЕРЕДАЧІ ДАНИХ В ІНФОРМАЦІЙНИХ ТЕЛЕКОМУНІКАЦІЙНИХ МЕРЕЖАХ

Recently, network steganography methods based on the use of structural properties of OSI (Open System Interconnection) protocols have been widely used to mask the fact of information transmission in information and telecommunication networks. This allows to covertly transmit important data based on background traffic, without significantly reducing the data rate in the base (open) channel. With the correct choice of properties (groups of properties) of the protocol (protocols) of the OSI model, the methods of network steganography do not allow the steganoanalyst to detect the fact of hidden data transmission. In network steganography, the process of detecting hidden data transmission is based on the analysis of the protocol characteristics of the used protocols of the OSI model for compliance with standards. When using protocols of channel and network levels of the OSI model, as a technological basis for organizing a hidden data transmission channel, concealment is carried out by placing data, the fact of transmission of which must be hidden, in the visible fields of the headers of the corresponding protocols, i.e. in open form. Due to the fact that the IP encryption technology covers only the payload of network layer protocols, it is advisable to use transport layer protocols of the OSI model. At this level, the TCP protocol is the most common, and it is standardized and used by opposing parties, including the military. The paper analyzes the current state of hidden data transmission in public information telecommunications networks and methods of steganographic data transmission in information and telecommunications networks. The network protocols used in information telecommunication networks were also analyzed, the concept of "network steganography" was revealed, the main task of which is to hide the very fact of message transmission in data transmission channels.

Data Processing Model for Compliance with International Medical Research Data Processing Rules

Data Processing Model for Compliance with International Medical Research Data Processing Rules

Spatial Compliance Modeling and Optimization of a Translational Joint Using Corrugated Flexure Units

Spatial Compliance Modeling and Optimization of a Translational Joint Using Corrugated Flexure Units

The management of moral hazard through the implementation of a Moral Compliance Model (MCM)

Moral hazard in an organization occurs when people make decisions and take a high risk for their own benefit, given that they would not have to bear all the negative ensuing consequences should they occur. This risk transferred to third parties is generally due to the catalysts that foster this risk, namely, information asymmetries, power, trust and temporality. The contribution of our research lies in the inclusion of moral decisions in project management, thus demonstrating the feasibility of a Moral Compliance Model (MCM). This model is a complement to legal compliance and allows a connection to be established between Risk Management, Governance & Compliance. In 2019, experimental action research, combined with a Plan-Do-Check-Action applied to a company, were used to perform the analysis. The findings show that implementing this moral model in organisations is possible. However, what moral hazard is needs to be shown, along with identifying moral hazard situations and planning how to introduce moral hazard into the risk management model in order to reduce its negative effect or, ideally, eliminate it. We provide an overview of risks, including those around moral dilemma decisions; moral hazard situations that will expand compliance to integrated compliance in which not only legal, but also moral aspects are identified and assessed. Incorporating ethical dilemmas in strategic decisions is a robust advance towards responsible businesses.

Tax Compliance Model Based on Taxpayers Planned Behavior in Indonesia

Taxes are the largest contributor to the state revenue in Indonesia, therefore tax compliance is required to meet the revenue target. This research aims to examine and analyze relates to the effect of the correlation between planned behavior of taxpayers and mediating intention to pay taxes on tax compliance in an effort to encourage the growth of state revenues. These research hypotheses are: 1) Taxpayers’ planned behavior has an effect to the tax compliance; 2) Taxpayers’ planned behavior has an effect to the intention to pay taxes; 3) Intention to pay taxes has an impact towards tax compliance and 4) Intention to pay taxes could mediate the influence of taxpayers’ planned behavior against the tax compliance. These research models are mixed method with quantitative approach which strengthened by concurrent triangulation design. This research used SEM-Lisrel as a data analysis method with total sample of 310 respondents who are individual taxpayers in Bekasi, Indonesia that have been reported to the 2021 Annual Tax Return. This research found that: 1) Taxpayers’ planned behavior can improve tax compliance; 2) Taxpayers’ planned behavior will boost the intention to pay taxes; 3) Intention to pay taxes can improve tax compliance; and 4) The intention of taxpayers could be able to mediate taxpayers’ planned behavior towards tax compliance. The implication of this research is that special regulations are needed which ruled the connection between the tax authorities and taxpayers as a harmonious professional bondage because both of them have an unequal interest and it is necessary to examine these taxpayers, both of corporate taxpayers and individual taxpayers in supporting the implementation of self-assessment system in Indonesia.

Configuration Design and Compliance Modeling of Hybrid Flexure Hinges

Configuration Design and Compliance Modeling of Hybrid Flexure Hinges

STRATEGI MENINGKATKAN KEPATUHAN PAJAK REKLAME DENGAN PENDEKATAN COMPLIANCE MODEL

This study aims to describe the implementation of compliance strategies in revenue agencies using the compliance model approach to improve advertising tax compliance. The research data were collected by interview, observation and document collection. This research is a descriptive qualitative research with a case study approach. Data analysis was performed using qualitative techniques, consisted of 3 stages, namely data reduction, data display, and conclusion drawing. The results of the study provide empirical evidence that compliance strategy with a compliance model approach that is implemented comprehensively and adequately can increase taxpayer compliance. The strategy implemented includes providing ease of compliance, providing assistance to comply, taking deter by detection and use full force of the law. Its combines effective prevention strategies and credible enforcement, making easier for taxpayers who are committed to comply and take firm action against taxpayers who do not comply. Implementation of compliance strategy requires support of facilities and infrastructure, competent human resources, tax authorities commitment, laws and regulations as a basis for implementation and support from other agencies in law enforcement efforts. The results of this study can become a reference for policy makers in developing future compliance strategies to achieve voluntary compliance in a sustainable manner.

A compliance modeling method of flexible rotary joint for collaborative robot using passive network synthesis theory

Collaborative robots have become a research focus because of their wide applications. However, the previous compliance design method of the flexible rotary joint for collaborative robot mainly relied on experience of designers, and “trial and error” method is usually adopted, no feasible and systematic theory for the designer to select numerical value and series-parallel connection mode of the springs and dampers for the flexible rotary joint. Thus, developing a feasible compliance modeling theory to guide the design of the flexible rotary joint is a particularly challenging task. The main contribution of this paper is to present a novel and effective compliance modeling theory of the flexible rotary joint for collaborative robot based on electrical and mechanical passive network synthesis, to provide theoretical and systematic guidances for compliance design of the flexible rotary joint. First, inerter element is introduced into the mechanical system, and the compliance of the flexible rotary joint is expressed as an angular velocity admittance function using electrical and mechanical network analogy. Then, by passive network synthesis theory, the three kinds of compliance realization forms of rational function and four-element compliance realization conditions of biquadratic function for the flexible rotary joint are given using inerters, springs, and dampers. Moreover, numerical examples and simulations are conducted to illustrate effectiveness of the proposed compliance realization method. Finally, discussions are given to illustrate advantages of the proposed compliance modeling and design methods compared with the previous method.

Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system

ObjectiveThe diagnosis of bladder dysfunction for children depends on the confirmation of abnormal bladder shape and bladder compliance. The existing gold standard needs to conduct voiding cystourethrogram (VCUG) examination and urodynamic studies (UDS) examination on patients separately. To reduce the time and injury of children's inspection, we propose a novel method to judge the bladder compliance by measuring the intravesical pressure during the VCUG examination without extra UDS. MethodsOur method consisted of four steps. We firstly developed a single-tube device that can measure, display, store, and transmit real-time pressure data. Secondly, we conducted clinical trials with the equipment on a cohort of 52 patients (including 32 negative and 20 positive cases). Thirdly, we preprocessed the data to eliminate noise and extracted features, then we used the least absolute shrinkage and selection operator (LASSO) to screen out important features. Finally, several machine learning methods were applied to classify and predict the bladder compliance level, including support vector machine (SVM), Random Forest, XGBoost, perceptron, logistic regression, and Naive Bayes, and the classification performance was evaluated. Results73 features were extracted, including first-order and second-order time-domain features, wavelet features, and frequency domain features. 15 key features were selected and the model showed promising classification performance. The highest AUC value was 0.873 by the SVM algorithm, and the corresponding accuracy was 84%. ConclusionWe designed a system to quickly obtain the intravesical pressure during the VCUG test, and our classification model is competitive in judging patients’ bladder compliance. SignificanceThis could facilitate rapid auxiliary diagnosis of bladder disease based on real-time data. The promising result of classification is expected to provide doctors with a reliable basis in the auxiliary diagnosis of some bladder diseases prior to UDS.

Бухгалтерская документация и учетная комплаенс-модель экономического субъекта

The relevance of the research is due to the strengthening of the role in solving the tasks facing the internal control system of each economic entity, the adoption of the federal accounting standard, updating the requirements for accounting documents, and the development of compliance control systems. Documentation is the main element of the accounting method as a science that help to create an accounting model of an economic entity. Internal control is the method to ensure compliance with legal requirements in the process of enterprises’ operation. The meaning and requirements for accounting documentation remain insufficiently defined both for the object of internal control and for the means of its implementation. The purpose of the study is to determine the role of accounting documentation in the formation of the compliance model of an economic entity and to reveal its importance in the functioning of the internal control system’ elements. Research methods: monographic method, semantic analysis, method of philosophical logic, method of abstract thinking. Results and key conclusions: the author proposed the definition of the accounting compliance model, demonstrated the function of documentation in the formation of models of economic entities; identified and supplemented the areas of risks of failure to achieve the goals of organizations related to accounting documentation; disclosed the role and importance of accounting documents for the organization and functioning of elements of the internal control system. The object of the study is the theoretical provisions of the methodology of accounting and internal control, the subject is accounting documentation. The theoretical and methodological significance lies in the fact that the author introduced the concept of the compliance model of an economic entity for the first time; supplemented the requirements that are prerequisites for the preparation of accounting statements, the violation of which is an area of internal control risk. The results of the research are of practical importance for the creation and organization of the proper operation of the internal control system at enterprises and organizations aimed at compliance with compliance requirements.

Government control in increasing vehicles taxpayer compliance

This study aims to determine the dynamics of taxpayer compliance from time to time by using a mathematical model. This study uses two analysis tools, namely differential equations, to create a model of taxpayer compliance and Moderated Regression Analysis to determine the effect of moderating government control on increasing taxpayer compliance. This study indicates that government control can reduce the number of non-compliant taxpayers by looking at the sensitivity index. The results of the sensitivity index of government control parameters can reduce the basic reproduction number. Statistically, it is also proven that the moderation of government control can strengthen the effect of awareness on taxpayer compliance by 82.5%.

Leading a Healthier Company: Advancing a Public Health Model of Ethics and Compliance

This article advances a public health model of ethics and compliance. It argues that corporate leaders should draw from the successful lessons of public health to promote ethical behavior more effectively in their companies. With its attention to data‐driven risk mitigation and behaviorally cognizant processes, a public health model can move compliance from the faulty assumption on which it is based, that is, that organizational wrongdoing can be deterred solely through appeals to the rational decision‐making processes of employees, to a more accurate understanding of the situational and social influences that foster noncompliance. The article supports its thesis in three parts. It begins by explaining the evolution of compliance and its transition from overly legalistic to behaviorally aware. Next, it draws on behavioral ethics and network research to make the connection between public health and compliance. Third, it explores how corporate leaders can meld the insights from these two disciplines, offering a new way of approaching ethics and compliance that is focused on behavioral ethics conduct risk and the practical application of behavioral science within the firm—the best way to improve the legal, ethical, and financial health of companies.

An educational intervention utilizing Health Belief Model for Pregnant Women's compliance with preventive measures regarding COVID-19

An educational intervention utilizing Health Belief Model for Pregnant Women's compliance with preventive measures regarding COVID-19

Development of nurse compliance theory through the medication therapy management (MTM) model on adverse drug event and patient satisfaction

This study aims to describe, explore, predict, and control phenomena which in turn describe the instructional process of developing nurse compliance theory through the Medication Therapy Management (MTM) Model of Adverse Drug Events and patient satisfaction based on the phenomenon of hospital service delivery. The theory construction procedure includes formulating a central concept, determining the source of theory, describing the empirical use, determining the meaning of theory, identifying concepts, checking concept definitions, identifying statements, establishing relationships between concepts, analyzing the adequacy of logic, determining usefulness, and explaining the level of generalizability and parsimony. The MTM Model is able to improve nurse compliance behavior by creating a culture and role model of compliance, obedient environment, safety, & patient safety in terms of increasing drug safety, decreasing Adverse Drug Event, and increasing patient satisfaction. The underlying assumptions of the MTM model are humans, environment, health, and nursing.

Modelling and indirect measurement of machine tool equivalent joint compliances

Machine tools require high geometric accuracy and stiffness. Both of these characteristics affect the radius of a radially loaded circular test. By using various loads, the machine's volumetric compliance can be studied as a function of position, orientation, and load. Further processing of the data using a kinematic and compliance model of the machine allows the equivalent joint compliances to be estimated. This model also allows to produce the characteristic patterns of loaded telescopic double ball bar readings associated with each compliance term. The compliance model contains numerous superfluous and confounded terms that are pruned from the model. The analytical model is then used to produce a numerical identification Jacobian that is further applied to estimate the compliances from test data gathered at various force levels. By using all force data at once global compliance values are estimated whereas using only adjacent force level data allows observing the change in compliance with force. The new nomenclature is introduced where each compliance term has three subscripts. The first subscript is the direction of the displacement, the second subscript is the applied force direction, and the third subscript is the relevant joint or axis. The dominant compliances are the X-axis on-axis compliance C XXX (confounded with the lateral compliance of the Y-axis C XXY ) and C YYY (confounded with C YYX ). It is observed that as the load increases from 76 to 706 N (by increments of 126 N), the dominant compliances increase by around 5%. Type A uncertainties of the calculated compliances are estimated from repeated measurements and are found to be relatively small. Some non-dominant compliances, such as the torsional compliance of the Y-axis C CCY account for deflection of less than 0.5% of that for the main compliances and has a negative value which is mechanically unexpected. It is explained in detail in the results and discussion section.

Towards Characterization of the Complex and Frequency-dependent Arterial Compliance based on Fractional-order Capacitor.

Arterial compliance is a vital determinant of the ventriculo-arterial coupling dynamic. Its variation is detrimental to cardiovascular functions and associated with heart diseases. Accordingly, assessment and measurement of arterial compliance are essential in the diagnosis and treatment of chronic arterial insufficiency. Recently, experimental and theoretical studies have recognized the power of fractional calculus to perceive viscoelastic blood vessel structure and biomechanical properties. This paper presents five fractional-order model representations to describe the dynamic relationship between the aortic blood pressure input and blood volume. Each configuration incorporates a fractional-order capacitor element (FOC) to lump the apparent arterial compliance's complex and frequency dependence properties. FOC combines both resistive and capacitive attributes within a unified component, which can be controlled through the fractional differentiation order factor, α. Besides, the equivalent capacitance of FOC is by its very nature frequency-dependent, compassing the complex properties using only a few numbers of parameters. The proposed representations have been compared with generalized integer-order models of arterial compliance. Both models have been applied and validated using different aortic pressure and flow rate data acquired from various species such as humans, pigs, and dogs. The results have shown that the fractional-order framework is able to accurately reconstruct the dynamic of the complex and frequency-dependent apparent compliance dynamic and reduce the complexity. It seems that this new paradigm confers a prominent potential to be adopted in clinical practice and basic cardiovascular mechanics research.

Determinants of seasonal influenza vaccination hesitancy among healthcare personnel: An integrative review.

To explore the determinants of and behaviour change models for seasonal influenza vaccination compliance among healthcare personnel. COVID-19 vaccine hesitancy among healthcare personnel may be better understood by exploring determinants of seasonal influenza vaccine hesitancy. Integrative literature review. A systematic search was conducted in accordance with PRISMA guidelines. Six thousand and forty-eight articles were screened. Seventy-eight met inclusion criteria. Due to the heterogeneity of included articles, a narrative synthesis was conducted utilising a conceptual matrix to identify thematic categories. Six thematic categories were identified as influencing HCP SIV compliance: 'perceived vulnerability', 'trust', 'past behaviour', 'professional duty', 'access and convenience' and 'knowledge and experience'. The Health Belief Model (HBM) was the most commonly utilised health behaviour change model within the seasonal influenza vaccination context. Few studies have examined seasonal influenza vaccine acceptance and uptake within the Australian HCP context, particularly involving community care and aged care. Factors that appear to relate to influenza vaccination compliance among HCP can be grouped according to several thematic categories, and they also appear influential in COVID-19 vaccine uptake. In particular, an emerging focus on 'trust' or the more emotive considerations of decision-making around health-protective behaviours requires further exploration in the context of a pandemic. Efforts to influence these domains to increase compliance, however, are likely to be impeded by a lack of a well-developed and tested behaviour change model. Healthcare personnel (HCP) face high levels of occupational exposure to seasonal influenza every year. An emerging focus on 'trust' and the more emotive considerations of decision-making around health-protective behaviours requires further exploration in the context of a pandemic.

CT-based fractional flow reserve: development and expanded application.

Computations of fractional flow reserve, based on CT coronary angiography and computational fluid dynamics (CT-based FFR) to assess the severity of coronary artery stenosis, was introduced around a decade ago and is now one of the most successful applications of computational fluid dynamic modelling in clinical practice. Although the mathematical modelling framework behind this approach and the clinical operational model vary, its clinical efficacy has been demonstrated well in general. In this review, technical elements behind CT-based FFR computation are summarised with some key assumptions and challenges. Examples of these challenges include the complexity of the model (such as blood viscosity and vessel wall compliance modelling), whose impact has been debated in the research. Efforts made to address the practical challenge of processing time are also reviewed. Then, further application areas—myocardial bridge, renal stenosis and lower limb stenosis—are discussed along with specific challenges expected in these areas.