Relevant bibliographies by topics / Model of predisposition to fraud

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Model of predisposition to fraud'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Model of predisposition to fraud"

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Antwi, Paul, and Martin Otu Offei. "How does Victim Precipitation Theory explain Deviant Behaviours of Internet Romance Offenders? Gamer’s Perspective of Victim Precipitation." International Journal of Technology and Management Research 6, no. 2 (2021): 59–72. http://dx.doi.org/10.47127/ijtmr.v6i2.126.

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Internet romance fraud is a global canker with severe consequences to the victims ranging from significant financial loss, emotional trauma, to loss of life and property. The paper examines how internet romance offenders rationalize their deviant criminal behaviours and how these criminals use victim precipitation to commit internet romance fraud. The three dimensions of victim precipitation theory in this study are victim facilitation, victim provocation and victim openness. The research explains how internet romance offenders rationalize and justify their deviant behaviour. The data from thi
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Andini, Putri, Anava Nesia Santoso, Kezia Yokbeth Wilhelmina Danomira, Martdian Ratna Sari, and Noveri Maulana. "Pengembangan Model Prediktif Pendeteksi Financial Fraud Berdasarkan Fraud Model Theory." Journal of Management and Business Review 20, no. 3 (2023): 502–19. http://dx.doi.org/10.34149/jmbr.v20i3.583.

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Petrașcu, Daniela, Ioana Păcurariu, Bianca Cristina Ciocanea, and Cosmin Ioan Pițu. "Tax Evasion Between Tax Optimization at the Border of Legality, Tax Burden and Voluntary Compliance." Journal of Legal Studies 32, no. 6 (2023): 163–80. http://dx.doi.org/10.2478/jles-2023-0019.

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Abstract Tax evasion operates beyond the boundaries of the jurisdictions, it develops across borders, and the extent of tax fraud as a phenomenon is differentiated according to the aspects and the rigours of legislation, as well as according to the economic environment of each country in part. Regardless of the level of development of the country in which it manifests, the effects of the fiscal fraud are destructive, affecting both the state budget, as well as the financial resources of the offenders’ commercial partners. The fiscal fraud has negative effects over the economic market, and one
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O. B., Oyelakun,, Aderemi, A. A., Olayemi, O. O., Oyawoye, O. O., and Ibrahim, A. A. "Enhanced Financial Fraud Determinants: The CCODSI Model." African Journal of Accounting and Financial Research 8, no. 1 (2025): 205–17. https://doi.org/10.52589/ajafr-szrtxxw9.

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This paper aims to improve our understanding of why people commit fraud by building on existing theories. The paper looks at four popular models that explain why people commit fraud: the fraud triangle, the fraud diamond, the fraud MICE, and the fraud SCORE models. The authors believe these models need to be updated to better fit the increasing number and seriousness of fraud cases. By building on these existing theories, the authors create a new model to help us better understand the main reasons behind fraud. The authors found that the idea of integration of duty is a major factor that makes
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Vousinas, Georgios L. "Advancing theory of fraud: the S.C.O.R.E. model." Journal of Financial Crime 26, no. 1 (2019): 372–81. http://dx.doi.org/10.1108/jfc-12-2017-0128.

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Purpose This paper aims to elaborate on the theory of fraud by enhancing the existing theories behind the factors that force people to commit fraud. Design/methodology/approach The paper reviews the most commonly used and widely accepted models for explaining why people commit fraud – the fraud triangle, the fraud diamond, the fraud scale and the MICE model. The author argues that these models need to be updated to adapt to the current developments in the field and the ever-growing fraud incidents, both in frequency and severity, and builds on the theoretical background to create a new model s
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Iin Ardi Yanti, Riswan Riswan, and Aminah Aminah. "Financial Statement Fraud Model." International Journal of Economics, Business and Innovation Research 3, no. 02 (2024): 1–17. https://doi.org/10.63922/ijebir.v3i02.706.

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The fraud problem that occurred at PT Waskita Karya recently became the background of this research. The purpose of this study was to determine the effect of the independent board of commissioners and institutional ownership on financial statement fraud and the role of financial performance in mediating the effect of the independent board of commissioners and institutional ownership on financial statement fraud. A quantitative approach is used in this study with the population, namely BUMN companies, for the 2021–2022 period, and purposive sampling is used to select samples. The number of samp
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Indriyani Puspaningrum, Marsellisa Nindito, and Muhammad Yusuf. "Pengaruh Fraud Hexagon Model Terhadap Indikasi Financial Statement Fraud." Jurnal Riset Akuntansi 2, no. 3 (2024): 253–71. http://dx.doi.org/10.54066/jura-itb.v2i3.2254.

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The purpose of this study was to test and determine the effect of stimulus, opportunity, rationalization, capability, ego, and collusion on indications of financial statement fraud. This study uses purposive sampling in determining the sample with secondary data sources in the form of financial reports and annual reports of infrastructure companies listed on the Indonesia Stock Exchange (IDX) and the pages of each company during 2020 - 2022 with the final number of observations totaling 143 data. This study uses panel data regression analysis techniques in the Eviews 13 data processing applica
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Yulianti, Yulianti, Ratna Novita Sari, and Aprih Santoso. "Financial Statement Fraud Detection: The Hexagon Fraud Model Approach." Atestasi : Jurnal Ilmiah Akuntansi 7, no. 1 (2024): 674–86. http://dx.doi.org/10.57178/atestasi.v7i1.856.

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The purpose of this study is to examine the likelihood of financial statement fraud using the fraud hexagon model, including pressure (financial stability), opportunity (ineffective monitoring), rationalization (auditor change), capability (director change), arrogance (frequent CEO pictures), and conspiracy (connection with government projects) on financial statement fraud. The sample of this study is manufacturing companies listed on the Indonesian Stock Exchange from 2019 to 2021, with a total of 73 companies. The data was processed using SPSS 22 software. The results of this study indicate
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Ryo Takahashi, Haruto Nishimura, and Keiko Matsuda. "A Graph Neural Network Model for Financial Fraud Prevention." Frontiers in Artificial Intelligence Research 2, no. 1 (2025): 13–25. https://doi.org/10.71465/0g50ff50.

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Financial fraud prevention is a critical challenge for banks, payment processors, and online financial services. Traditional fraud detection models, including rule-based systems and machine learning classifiers, often struggle with adaptive fraud tactics, requiring frequent retraining to remain effective. Recent advancements in graph neural networks (GNNs) have enabled fraud detection models to leverage relational transaction data, capturing multi-hop fraud patterns and collusive fraud schemes that are difficult to detect with conventional approaches. This study proposes a GNN-based fraud prev
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Azrina Mohd Yusof, Nor, and Ming Ling Lai. "An integrative model in predicting corporate tax fraud." Journal of Financial Crime 21, no. 4 (2014): 424–32. http://dx.doi.org/10.1108/jfc-03-2013-0012.

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Purpose – This paper aims to present an integrative model in predicting corporate tax fraud. Design/methodology/approach – This paper is grounded on three theories, namely, the theory of reasoned action, theory of planned behaviour and the “Fraud Diamond Theory”. Findings – By integrating these three theories, this paper proposes that individual cognitive factors, fraud diamond factors and organizational factors such as normative and control factors influence managers to commit corporate tax fraud. Practical implications – Practically, the proposed integrative model enables the government and
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Dissertations / Theses on the topic "Model of predisposition to fraud"

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Бояджян, М. М. "Оцінка впливу макроекономічних факторів на формування схильності до шахрайства в банківській сфері". Master's thesis, Сумський державний університет, 2018. http://essuir.sumdu.edu.ua/handle/123456789/71909.

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У роботі досліджено теоретико-методологічні основи оцінки впливу макроекономічних факторів на формування схильності до шахрайства в банку. Проведений аналіз існуючих підходів оцінки впливу макроекономічних факторів на формування схильності до шахрайства в банку. Основною метою цього дослідження є побудова математичної моделі для оцінки впливу макроекономічних факторів на формування схильності до шахрайства в банківській сфері.<br>The theoretical and methodological bases of the estimation of the influence of macroeconomic factors on the formation of predisposition to fraud in the bank are resea
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Kukuyan, Anna-Mariya. "ROLE OF BAP1 IN MESOTHELIOMA AND MELANOMA PREDISPOSITION." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/556760.

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Biomedical Sciences<br>Ph.D.<br>BAP1 (BRCA-Associated Protein1) is a tumor suppressor gene encoding a deubiquitinating enzyme (DUB) that regulates many facets of cellular biology. Genetic studies have demonstrated that somatic BAP1 mutations occur in numerous cancer types and that germline BAP1 mutations lead to a cancer susceptibility disorder that predisposes individuals to various tumors, in particular malignant mesothelioma (MM) and both uveal melanoma (UM) and cutaneous melanoma (CM). The Testa laboratory has identified several families (including one in Louisiana, designated Lou) with ge
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Cronin, Alison Louise. "Reforming corporate fraud regulation in the UK : a model of manifest liability." Thesis, Bournemouth University, 2016. http://eprints.bournemouth.ac.uk/25064/.

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Under the common law ‘identification principle’ criminal fault can only be attributed to a corporation if a sufficiently senior individual, typically a director, is guilty of the offence in question. This is problematic in itself given the typically complex and decentralised organisational structures of large companies. However, it is particularly ill-suited to address instances of pervasive and systemic corporate fraud, such as may have been evidenced in the recent widespread mis-selling scandals. In response to the difficulties associated with the ‘identification principle’, various alternat
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Rama, Sobhana. "Managing Information Confidentiality Using the Chinese Wall Model to Reduce Fraud in Government Tenders." Thesis, University of Fort Hare, 2013. http://hdl.handle.net/10353/d1006956.

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Instances of fraudulent acts are often headline news in the popular press in South Africa. Increasingly, these press reports point to the government tender process as being the main enabler used by the perpetrators committing the fraud. The cause of the tender fraud problem is confidentiality breach of information. This is accomplished, in part, by compromising the tender information contained in the government information system. This results in the biased award of a tender. Typically, the information in the tender process should be used to make decisions about a tender’s specifications, soli
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Sharma, Sribava. "Deletion of ΔdblGata Motif Leads to Increased Predisposition and Severity of IgE-mediated Food-induced Anaphylaxis Response". University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535701847469787.

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Abell, Meghann Lynn. "Assessing Fraud Risk, Trustworthiness, Reliability, and Truthfulness: Integrating Audit Evidence from Multiple Sources." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/27763.

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To assess fraud risk, auditors collect evidence in a sequential manner by reviewing workpaper documentation, and by collecting corroborating and clarifying information from financial (management) personnel and nonfinancial (operating) personnel. SAS 99 (AICPA, 2002) noted that audit evidence gathered from financial personnel may be susceptible to deception. In addition, prior researchers have found auditors to be poor at detecting deception immediately following deceptive communication. Though the audit process is sequential and iterative, these studies measured auditors– ability to detect dec
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Reyna, Josephine. "The Impact of Predisposition Towards Group Work on Intention to Use a CSCW System." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4752/.

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Groupware packages are increasingly being used to support content delivery, class discussion, student to student and student to faculty interactions and group work on projects. This research focused on groupware packages that are used to support students who are located in different places, but who are assigned group projects as part of their coursework requirements. In many cases, students are being asked to use unfamiliar technologies that are very different from those that support personal productivity. For example, computer-assisted cooperative work (CSCW) technology is different from o
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Curet, Olivier Louis. "Using precedents to identify top management fraud : the study of a case-based learning and reasoning model." Thesis, London School of Economics and Political Science (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243959.

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This thesis discusses how best to design, implement and evaluate a Case-Based Learning and Reasoning (CB-LR) model to assist accountants in identifying Top Management Fraud (TMF). There is no structured knowledge about TMF in the fonn of rules, only cases encountered by experienced auditors. The changing economic, financial and social environment has produced more fraud which at the same time has become increasingly complex to identify and isolate. Previous research shows that fraud has evaded auditors, and highlights a need for new computer-based learning and reasoning paradigms in this domai
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Abiola, James. "The impact of information and communication technology on internal control's prevention and detection of fraud." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9496.

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This study explores the Impact of Information and Communication Technology (ICT) on internal control effectiveness in preventing and detecting fraud within the financial sector of a developing economy - Nigeria. Using a triangulation of questionnaire and interview techniques to investigate the internal control activities of Nigerian Internal Auditors in relation to their use of ICT in fraud prevention and detection, the study made use of cross-tabulations, correlation coefficients and one-way ANOVAs for the analysis of quantitative data, while thematic analysis was adopted for the qualitative
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Haq, Ikram. "Fraud detection for online banking for scalable and distributed data." Thesis, Federation University Australia, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/171977.

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Online fraud causes billions of dollars in losses for banks. Therefore, online banking fraud detection is an important field of study. However, there are many challenges in conducting research in fraud detection. One of the constraints is due to unavailability of bank datasets for research or the required characteristics of the attributes of the data are not available. Numeric data usually provides better performance for machine learning algorithms. Most transaction data however have categorical, or nominal features as well. Moreover, some platforms such as Apache Spark only recognizes numeric
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Books on the topic "Model of predisposition to fraud"

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Paris, Joel. Nature and nurture in psychiatry: A predisposition-stress model of mental disorders. American Psychiatric Press, 1999.

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American Bar Association. UCC Committee. Subcommittee on Payments., ed. Model positive pay services agreement and commentary. Section of Business Law, American Bar Association, 1999.

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Glover, Hubert D. A decade of model internal audit case summaries: Selected from Internal auditor round table and fraud findings submissions from IIA chapters around the world. Institute of Internal Auditors, 1997.

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California. Bureau of State Audits. Department of Health Services: Despite shortcomings in the Department's monitoring efforts, limited data suggest its two-plan model does not adversely affect quality of and access to health care. Bureau of State Audits, 1999.

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United States. General Accounting Office, ed. Financial management: Review of VA's actuarial model for veterans' compensation benefits : report to the Secretary of Veterans Affairs. The Office, 1999.

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Kazakova, Nataliya. Financial security of the company. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1908969.

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The textbook provides theoretical and practical training of business analysts on the financial security of companies. Considers the regulatory legal and methodological basis for the diagnosis of bankruptcy of organizations, as well as corporate fraud as a type of economic crimes; analytical tools for assessing the level of financial security based on a risk-oriented approach, the basics of building an internal financial security control system, including monitoring of the company's business processes affecting its financial security, as well as methods for assessing the risks of corporate frau
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Preventing Identity Crime : Identity Theft and Identity Fraud: An Identity Crime Model and Legislative Analysis with Recommendations for Preventing Identity Crime. BRILL, 2020.

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Brennand, Kristen. Application of Stem Cells to Understanding Psychiatric Disorders. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0005.

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While much has been learned through clinical post-mortem and neuroimaging studies of patients and animal models of autism spectrum disorder (ASD), bipolar disorder (BD) and schizophrenia (SZ), these classical approaches have yet to fully elucidate the interaction of complex genetic risk factors on disease predisposition. The derivation of human induced pluripotent stem cells (hiPSCs) from patients with psychiatric disorders permits the study of the full complement of risk variants (known and unknown) that underlie disease predisposition, precisely in the cell types relevant to disease. The fol
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Food stamp fraud as a business model: USDA's struggle to police store owners : hearing before the Committee on Oversight and Government Reform, House of Representatives, One Hundred Twelfth Congress, second session, March 8, 2012. U.S. G.P.O., 2012.

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Keel, Pamela K., and Lauren A. Holland. Eating Disorders. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.017.

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This chapter examines patterns of comorbidity between eating disorders and mood, anxiety, and substance use disorders along with evidence regarding support for different theoretical models that may account for these patterns. Although comorbidity estimates may be inflated by reliance on treatment-seeking samples and double counting of symptoms that overlap between syndromes, evidence supports elevated risk of mood, anxiety, and substance use disorders in anorexia nervosa, bulimia nervosa, and binge eating disorder. Data from family and twin studies support that eating and anxiety disorders may
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Book chapters on the topic "Model of predisposition to fraud"

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Sørensen, Jesper. "Investigating the Business Model, Products & Services." In Shorting Fraud. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81834-9_19.

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Çalıyurt, Kıymet Tunca. "Reporting Fraud Using the Fraud-Free Company Model: A Case for the SMEs in Emerging Economies?" In Emerging Fraud. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20826-3_1.

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Ushijima, T., and M. Nagao. "A Rat Model System for Predisposition to Stomach Cancer." In Animal Models of Cancer Predisposition Syndromes. KARGER, 1999. http://dx.doi.org/10.1159/000062008.

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Taketo, M. M. "Apc Gene Knockout Mice as a Model for Familial Adenomatous Polyposis." In Animal Models of Cancer Predisposition Syndromes. KARGER, 1999. http://dx.doi.org/10.1159/000062007.

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Pralon Mancuso, Wagner. "The incomplete transition. A review of the recent changes in Brazil’s electoral financing model." In Bribery, Fraud, Cheating. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29062-7_8.

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Hino, O., T. Fukuda, N. Satake, et al. "TSC2 Gene Mutant (Eker) Rat Model of a Mendelian Dominantly Inherited Cancer." In Animal Models of Cancer Predisposition Syndromes. KARGER, 1999. http://dx.doi.org/10.1159/000062006.

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Krambia-Kapardis, Maria. "A Holistic Model of Corruption and Corporate Fraud Prevention." In Corporate Fraud and Corruption. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/9781137406439_6.

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Nanduri, Jay, Yung-Wen Liu, Kiyoung Yang, and Yuting Jia. "Ecommerce Fraud Detection Through Fraud Islands and Multi-layer Machine Learning Model." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39442-4_41.

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Priya and Kumuda Sharma. "Fraud Detection Model Using Semi-supervised Learning." In Soft Computing for Problem Solving. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6525-8_30.

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Kingston, John, Burkhard Schafer, and Wim Vandenberghe. "No Model Behaviour: Ontologies for Fraud Detection." In Law and the Semantic Web. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32253-5_15.

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Conference papers on the topic "Model of predisposition to fraud"

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Yu, Chang, Yongshun Xu, Jin Cao, Ye Zhang, Yixin Jin, and Mengran Zhu. "Credit Card Fraud Detection Using Advanced Transformer Model." In 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom). IEEE, 2024. http://dx.doi.org/10.1109/metacom62920.2024.00064.

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Cheng, Yu, Junjie Guo, Shiqing Long, You Wu, Mengfang Sun, and Rong Zhang. "Advanced Financial Fraud Detection Using GNN-CL Model." In 2024 International Conference on Computers, Information Processing and Advanced Education (CIPAE). IEEE, 2024. https://doi.org/10.1109/cipae64326.2024.00088.

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Oguntimilehin, Abiodun, Freedom Ngaikedi, Aondoaseer James Atachin, et al. "Financial Fraud Detection Model using Recurrent Neural Network." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927232.

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Yan, Chao, Jinyin Wang, Yuelin Zou, Yijie Weng, Yang Zhao, and Zhuoying Li. "Enhancing Credit Card Fraud Detection Through Adaptive Model Optimization." In 2024 IEEE 7th International Conference on Big Data and Artificial Intelligence (BDAI). IEEE, 2024. http://dx.doi.org/10.1109/bdai62182.2024.10692581.

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Lhymn, Sue. "Implementation of Point-Based Scoring Model for Fraud Detection." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825865.

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Yuvaraaj, G. K., and K. Dhinakaran. "SHAP-Enhanced Hybrid Model for Accurate Financial Fraud Detection." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011708.

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S, Arjun, K. Devanand, and Mahesh A S. "A Multi-Expert Transformer Model for Click Fraud Detection." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035516.

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Qu, Bo, Zhurong Wang, Minghao Gu, et al. "Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection." In 2024 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2024. https://doi.org/10.1109/icdmw65004.2024.00043.

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Kesharwani, Abhishek, and Prashant Shukla. "FFDM − GNN:A Financial Fraud Detection Model using Graph Neural Network." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830438.

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Olusegun, Ruth, and Bo Yang. "Improved Ethereum Fraud Detection Mechanism with Explainable Tabular Transformer Model." In 2024 IEEE 6th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA). IEEE, 2024. https://doi.org/10.1109/tps-isa62245.2024.00017.

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Reports on the topic "Model of predisposition to fraud"

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Dutra, Lauren M., Matthew C. Farrelly, Brian Bradfield, Jamie Ridenhour, and Jamie Guillory. Modeling the Probability of Fraud in Social Media in a National Cannabis Survey. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0046.2109.

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Cannabis legalization has spread rapidly in the United States. Although national surveys provide robust information on the prevalence of cannabis use, cannabis disorders, and related outcomes, information on knowledge, attitudes, and beliefs (KABs) about cannabis is lacking. To inform the relationship between cannabis legalization and cannabis-related KABs, RTI International launched the National Cannabis Climate Survey (NCCS) in 2016. The survey sampled US residents 18 years or older via mail (n = 2,102), mail-to-web (n = 1,046), and two social media data collections (n = 11,957). This report
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Sistac, Sistac, Lliteras M, and Sistac Palacín JM. Study in a Simulated Scenario of the Influence of Training and Personality in the Resolution of Critical Situations in Anaesthesiology Residents. Science Repository, 2023. http://dx.doi.org/10.31487/j.acr.2022.04.01.sup.

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Introduction: Empowerment of simulations in emergent situations by resident medical interns has positively demonstrated the acquisition of clinical skills [1]. Even so, it remains unclear what psychological factors influence when assuming leadership in carrying out these simulations or in a real situation. This study aims to analyse, by simulating critical situations in the operating room, the influence of training and personality among anaesthesiology residents on the predisposition to assume such leadership Materials and Methods: A study was carried out on 22 residents both trained (11) and
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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Abstract:
Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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