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1. |
Record Nr. |
UNINA9910130824903321 |
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Autore |
Diekmann Andreas |
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Titolo |
Stellvertretung in gesundheitsangelegenheiten : modell eines dreigliedrigen vertretungssystems / / Andrea Diekmann |
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Pubbl/distr/stampa |
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Göttingen, Germany : , : Universitätsverlag Göttingen, , 2009 |
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©2009 |
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Descrizione fisica |
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1 online resource (ix, 194 pages) |
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Collana |
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Göttinger Schriften zum Medizinrecht ; ; Band 5 |
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Disciplina |
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Soggetti |
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Medical care |
Medical laws and legislation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references (pages [165]-186) |
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Sommario/riassunto |
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A medical measure influences the physical and mental integrity of the affected people. The right of determination is also part of a person's personality. The individual can exercise his right of self determination only when its decision conditions and justifies medical practice. Is an adolescent due to an illness or disability not able to excersise decisions, these have to be made by a representative of legal transactions - an agent - or taken by a legal representative - a supervisor. In this study, the different representation schemes on health matters are presented. |
Eine ärztliche Maßnahme tastet die leibliche und gegebenenfalls die seelische Integrität eines Menschen an. Die Bestimmung darüber ist ein Teil der Personalität eines Menschen. Der Einzelne kann sein Selbstbestimmungsrecht nur wahrnehmen, wenn seine Entscheidung Voraussetzung gerechtfertigten ärztlichen Handelns ist. Kann ein Volljähriger auf Grund einer Krankheit oder Behinderung darüber nicht befinden, können Entscheidungen durch einen rechtsgeschäftlichen Vertreter einen Bevollmächtigten oder durch einen gesetzlichen Vertreter einen Betreuer getroffen werden. In der vorliegenden Untersuchung werden die unterschiedlichen Vertretungsregelungen im Bereich der Gesundheitsangelegenheiten dargestellt. Es wird zudem |
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geprüft, ob es das Selbstbestimmungsrecht des Einzelnen gebietet, eine weitere automatische Vertretungsmöglichkeit für nahe Angehörige zu normieren. Es wird auch erwogen, auf welche Grundlage eine entsprechende Befugnis gestützt werden, in welchen Fällen und unter welchen Voraussetzungen sie eingreifen könnte. |
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2. |
Record Nr. |
UNINA9910735791603321 |
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Autore |
Gupta Abhishek |
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Titolo |
Artificial Intelligence Applications in Banking and Financial Services : Anti Money Laundering and Compliance / / by Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (147 pages) |
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Collana |
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Future of Business and Finance, , 2662-2475 |
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Altri autori (Persone) |
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DwivediDwijendra Nath |
ShahJigar |
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Disciplina |
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Soggetti |
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Financial engineering |
Artificial intelligence |
Mathematical optimization |
Crime |
Technology |
Financial Technology and Innovation |
Artificial Intelligence |
Optimization |
Crime and Technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction to financial crimes and its participants -- Chapter 2: Anti financial crimes organization overview in a financial institution -- Chapter 3: Financial institutions approach to curbing and mitigating financial crimes -- Chapter 4: IT solutions for monitoring |
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and managing financial crimes -- Chapter 5: Typical challenges faced by AML and compliance divisions -- Chapter 6: Applications of artificial intelligence and digitization in financial crimes -- Chapter 7: Data organization and governance in financial crimes -- Chapter 8: Machine learning approach to customer due diligence and watchlist monitoring -- Chapter 9: Applying machine learning for transaction monitoring to optimize false positives -- Chapter 10: application of network analysis to further improve detection of financial crimes -- Chapter 11: AML investigation and application of digitization and machine learning for saving investigation time -- Chapter 12: Futuristic enterprise level AI driven Financial Crime Investigation unit (FCU) for a financial institution. |
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Sommario/riassunto |
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This book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners. The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike. |
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