1.

Record Nr.

UNISA996532959003316

Titolo

Gerecht sorgen : verständigungsprozesse über den einsatz knapper ressourcen bei patienten am lebensende / / edited by Markus Zimmermann-Acklin, Gunnar Duttge

Pubbl/distr/stampa

Göttingen : , : Universitätsverlag Göttingen, , 2013

Descrizione fisica

1 online resource (viii, 202 pages)

Collana

Göttinger Schriften zum Medizinrecht ; ; Band 15

Disciplina

344.430412

Soggetti

Medical laws and legislation - Germany

Physicians - Malpractice - Germany

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Viele Menschen sterben heute im hohen Alter nach längerer chronischer Erkrankung. Aufgrund des medizinischen Fortschritts ist es möglich, menschliches Leben selbst unter sehr prekären Bedingungen zu erhalten; schwierige Entscheidungen über den weiteren Therapieverlauf sind unausweichlich. Angesichts der Endlichkeit der zur Verfügung stehenden Ressourcen werden mit Entscheidungen zur Therapieverlängerung zugleich heikle Fragen der Verteilungsgerechtigkeit aufgeworfen. Die Versorgung in der letzten Lebensphase ist besonders kostenintensiv. Wenn sehr teure Behandlungen zur Verfügung stehen, kommt es zu Konkurrenzsituationen, die eine Begrenzung (Rationierung) notwendig macht. Welche Kriterien dürfen dabei aus medizinischer, rechtlicher, ökonomischer und ethischer Sicht herangezogen werden, welche sind möglicherweise problematisch? Was heißt es, angesichts von Knappheit eine gerechte und sorgende Gesellschaft zu sein (Leonard M. Fleck)?



2.

Record Nr.

UNINA9910299057803321

Titolo

Business Intelligence : Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures / / edited by Esteban Zimányi

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-05461-9

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (IX, 243 p. 95 illus.)

Collana

Lecture Notes in Business Information Processing, , 1865-1356 ; ; 172

Disciplina

658.4038011

Soggetti

Business information services

Data mining

Information storage and retrieval systems

Information technology - Management

Computer science - Mathematics

Mathematical statistics

IT in Business

Data Mining and Knowledge Discovery

Information Storage and Retrieval

Computer Application in Administrative Data Processing

Probability and Statistics in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Introduction to Pattern Mining -- Process Mining in the Large: A Tutorial -- Ontology-Driven Business Intelligence for Comparative Data Analysis -- Open Access Semantic Aware Business Intelligence -- Transparent Forecasting Strategies in Database Management Systems -- On Index Structures for Star Query Processing in Data Warehouses -- Intelligent Wizard for Human Language Interaction in Business Intelligence.

Sommario/riassunto

To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the



strategic, tactical, and operational levels. BI is now impacted by the “Big Data” phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Third European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field.