Primary healthcare effects of a well-designed anti-corruption program

Nishijima, Marislei; Ellis, Randall P.; Cati, Regina Célia

doi:10.1016/j.wdp.2022.100399

Cited by 5 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a suggestion for future research and considering the setbacks that Brazil has experienced in recent years in terms of transparency and monitoring of corrupt practices (Transparency International, 2022), this research suggests self-assessment of the respective RC programs of other companies in the health and from different industrial sectors. Regulatory changes may not be enough to create the ethical and compliance environment necessary for good business practices in the public-private relationship (Li & van Rooij, 2022;Nishijima, Ellis & Cati, 2022). A greater incentive for the necessary change may result from the awareness of companies and society (in valuing such companies) in the search for the voluntary implementation of RC programs that create a culture of effective prevention, detection, and remediation against acts of corruption and fraud.…”

Section: Resultsmentioning

confidence: 99%

“…Globally, the evolution of the RC theme has been driven by episodes of corruption that influenced the tightening of regulations. In Brazil, the violation of values and ethical guidelines in events of different natures and origins has reinforced the On the other hand, establishing an RC program involves significant challenges because the existence of rules, regulations, and laws may not be enough to ensure compliance in organizations (Li & van Rooij, 2022;Nishijima, Ellis & Cati, 2022). This stems from the fact that rules and regulations are evolving, requiring the constant implementation of new business model reorganization (Amantea et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Achievements and Challenges of the Regulatory Compliance Program in a Large Philanthropical Hospital Institution

Silva¹,

Lima²,

Veiga³

2023

J. Professional Business Review

View full text Add to dashboard Cite

Objective: The objective of this work was to do a self-assessment of the Regulatory Compliance (RC) program of Santa Casa de Belo Horizonte Group (SCBH) using the methodology validated nationally by the Comptroller General of the Union (CGU) for detailing the achievements and challenges in six primary areas of RC. Theoretical framework: The RC program was established at the end of 2018 in the SCBH to ensure the compliance and ethics of the processes performed by all people who participate or perform their professional activities in any of the units that make up the institution. Different methodologies for evaluating RC programs are available in the non-academic literature; to our knowledge, they have not been applied in a structured empirical way in philanthropical hospitals. Design/methodology/approach: The present work used a methodology validated nationally by the CGU within an exploratory and documentary approach. SCBH's profile was evaluated by verifying the company's degree of exposure to compliance and integrity risks (acts of corruption or misconduct). Evidence documents demonstrating SCBH's performance in six significant themes were also evaluated. Finally, the achievements and challenges of the RC were discussed based on the SCBH performance in all estimated items. Findings: The RC program was created in 2018 and is in a consolidated stage of maturity in the primary criteria evaluated by the CGU: a score greater than 70 points and at least 40% of the score in each area assessed. Research, Practical & Social implications: This research brings practical and managerial contributions. From a practical perspective, this work shows the consolidation of the RC area as a strategic part of the business environment, seeking coherence between thought, speech, and action. From a managerial perspective, this work confirms the importance of shared responsibility among the entire institution in building a culture of ethical and legal compliance. Originality/value: This is the first RC self-assessment work carried out by a philanthropic institution. The healthcare market has driven the establishment of an RC area in Brazilian institutions. Regardless of regulation and external audit processes, healthcare institutions have sought to improve business relations and create a critical organizational mass.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Achievements and Challenges of the Regulatory Compliance Program in a Large Philanthropical Hospital Institution

Silva¹,

Lima²,

Veiga³

2023

J. Professional Business Review

View full text Add to dashboard Cite

show abstract

“…Among them, the data input layer also includes selective processing of the original data, mainly image whitening processing such as normalization; The purpose of convolution calculation is to achieve feature extraction of images and obtain multiple feature maps by convolving the convolution kernel with input data; Activation improves the network's expressive power through non-linear activation function processing; The pooling layer reduces the size of parameters and lowers the complexity of the network through max pooling or average pooling. [1][2][3][4][5] The weights of all neurons on the feature mapping layer are the same, and the image features are mapped through logistic regression and ReLu activation. The last feature mapping layer outputs the results through softmax.…”

Section: Introductionmentioning

confidence: 99%

Optimization Research and E-commerce Design of Gastrointestinal Electron Microscopic Endoscopy Images Based on Convolutional Neural Networks

Zhang,

Huang,

Yuan

et al. 2024

TMBLS

View full text Add to dashboard Cite

The research team backtracked the gastrointestinal electron microscopy manifestations of patients based on the pathological classification of clinical institutions. Through data backtracking, we obtained the diagnostic significance images of the patients. The diagnostic significance images were classified and implemented using convolutional neural networks, with Class A being benign lesions, Class C being malignant lesions, and Class B being non lesions. Based on existing data, we obtained a confusion matrix, and a report was made on the parameters of convolutional neural networks. This convolutional neural network has decent accuracy and can preliminarily meet the needs of clinical institutions, providing a powerful tool for clinical work.

show abstract

Compliance4Health: Developing Compliance and Anti-Corruption Education for Brazilian Medical Schools

Marzionna,

Stocco Betiol,

Costa

2024

Political Corruption and Governance

View full text Add to dashboard Cite

Primary healthcare effects of a well-designed anti-corruption program

Cited by 5 publications

References 23 publications

Achievements and Challenges of the Regulatory Compliance Program in a Large Philanthropical Hospital Institution

Achievements and Challenges of the Regulatory Compliance Program in a Large Philanthropical Hospital Institution

Optimization Research and E-commerce Design of Gastrointestinal Electron Microscopic Endoscopy Images Based on Convolutional Neural Networks

Compliance4Health: Developing Compliance and Anti-Corruption Education for Brazilian Medical Schools

Contact Info

Product

Resources

About