In most countries, a veterinary disciplinary system is in force to ensure the quality of the veterinary profession and to offer an objective platform for complaints. We present an analysis of 15 years of veterinary disciplinary verdicts (2001–2016) to compare facts and figures and identify which factors are of major influence on the outcome of the verdicts. Rulings were collected from both paper files and the digital database of the veterinary disciplinary council (VDC), categorized, and used to create a database that enabled a statistical analysis. The results showed that complaints pertaining to companion animals are filed predominantly by owners, whereas complaints about livestock are mostly filed by the governmental civil servant (CS). CS complaints mostly address compliance issues. For the complaints made by owners (client complaints, CCs), reporting, communication, and veterinary mistakes appeared to be of statistical significance. Further studies are needed to investigate the impact of the complaints on veterinarians in general and how we can improve the veterinary disciplinary system.

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This paper shows an improvement of legal decision-making via digitally produced verdicts. We investigate the use of Artificial Intelligence (AI) in relation to rendering arbitrational verdicts. The data was provided by e-Court, the first private online court of the Netherlands. In our survey the standard debt collection proceedings under Dutch Civil and Procedural law are used as a case study. The introduction of the subject matter is followed by an overview of the key-parameters required by e-Court for rendering a verdict in default cases. The reasoning methodologies of Intelligent Systems in the legal domain are then discussed. Following this discussion we will analyze the nature of the e-Court System to understand how it benefits from the various types of Intelligent Systems. Subsequently, we will discuss the rationale behind the choices made, the legal implications and the handling process within the public courts. Our contribution lies also in the investigation of the characteristics of the e-Court system for rendering default verdicts in debt collection proceedings. In our conclusion we will consider to what extent intelligent systems will be used in the contemporary digital court houses.

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De zorg-en onderwijsinstellingen zijn voortdurend op zoek naar kwaliteitsverbetering ten aanzien van het voorkomen van uitval van studenten verpleegkunde duaal en BBL. Uitval van studenten is vervelend voor de student zelf. Gevoelens van frustratie en verlies aan zelfvertrouwen overmeesteren de studenten. Daarnaast wordt het leerbedrijf en de onderwijsinstelling geconfronteerd met onnodige kosten en organisatorische problemen zoals formatie-en roosterproblematiek.