Detection and Prevention of Adverse Drug Events
When someone enters hospital for examination or treatment, is given a doctor’s prescription, receives medication from a pharmacist or has his drugs administered by a nurse, he assumes that his health and welfare will benefit from this medical intervention. But the effectiveness of available therapie...
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IOS Press
2013
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Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35384 |
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oai:scholar.dlu.edu.vn:DLU123456789-353842014-01-19T23:55:59Z Detection and Prevention of Adverse Drug Events Beuscart, Régis Hackl, Werner Nøhr, Christian When someone enters hospital for examination or treatment, is given a doctor’s prescription, receives medication from a pharmacist or has his drugs administered by a nurse, he assumes that his health and welfare will benefit from this medical intervention. But the effectiveness of available therapies should also be viewed from the perspective of potentially negative consequences: adverse drug events (ADE). ADEs endanger patients’ safety and increase hospital costs, making reduction of preventable ADEs a crucial and challenging Public Health issue. This book presents papers from the workshop “Patient Safety through Intelligent Procedures in medication” focusing on the following topics: the identification of ADE and medication errors in hospital settings; the role of human and organisational factors on ADE and medication errors; Information and Communication Technologies to prevent or correct ADEs and medication errors. The papers in this book are the work of active scientific experts in the field and confront ideas and experiences arising worldwide, and in particular from several EU projects directed at resolving ADE problems. Here is an opportunity to find common ways for solving shared difficulties and make improvements happen. 2013-09-05T08:06:20Z 2013-09-05T08:06:20Z 2009 Book 978-1-60750-455-9 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35384 en application/pdf IOS Press |
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Thư viện Trường Đại học Đà Lạt |
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English |
description |
When someone enters hospital for examination or treatment, is given a doctor’s prescription, receives medication from a pharmacist or has his drugs administered by a nurse, he assumes that his health and welfare will benefit from this medical intervention. But the effectiveness of available therapies should also be viewed from the perspective of potentially negative consequences: adverse drug events (ADE). ADEs endanger patients’ safety and increase hospital costs, making reduction of preventable ADEs a crucial and challenging Public Health issue. This book presents papers from the workshop “Patient Safety through Intelligent Procedures in medication” focusing on the following topics: the identification of ADE and medication errors in hospital settings; the role of human and organisational factors on ADE and medication errors; Information and Communication Technologies to prevent or correct ADEs and medication errors. The papers in this book are the work of active scientific experts in the field and confront ideas and experiences arising worldwide, and in particular from several EU projects directed at resolving ADE problems. Here is an opportunity to find common ways for solving shared difficulties and make improvements happen. |
format |
Book |
author |
Beuscart, Régis Hackl, Werner Nøhr, Christian |
spellingShingle |
Beuscart, Régis Hackl, Werner Nøhr, Christian Detection and Prevention of Adverse Drug Events |
author_facet |
Beuscart, Régis Hackl, Werner Nøhr, Christian |
author_sort |
Beuscart, Régis |
title |
Detection and Prevention of Adverse Drug Events |
title_short |
Detection and Prevention of Adverse Drug Events |
title_full |
Detection and Prevention of Adverse Drug Events |
title_fullStr |
Detection and Prevention of Adverse Drug Events |
title_full_unstemmed |
Detection and Prevention of Adverse Drug Events |
title_sort |
detection and prevention of adverse drug events |
publisher |
IOS Press |
publishDate |
2013 |
url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35384 |
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1757667272243019776 |