1 ++ High quality meta-analyses, systematic reviews of RCTs, or RCTs with a very low risk of bias 1 + Well conducted meta-analyses, systematic reviews, or RCTs with a low risk of bias 1-Meta-analyses, systematic reviews, or RCTs with a high risk of bias 2 ++ High quality systematic reviews of case control or cohort studies High quality case control or cohort studies with a very low risk of conf...

Quality information systems (QIS) are providing all the quality-relevant information during the whole life cycle of a product to all the people involved. With regard to e-learning applications this means that a QIS should provide quality-relevant information to the authors of e-learning materials as well as to the instructors and the learners using them. In this work it is described how such a ...

Previously developed quality indicators (QIs) for the intensive care did not give clues for quality improvement. We will improve this by developing new QIs that are actionable, reliable, valid and easy to register. Using a modified RAND technique we developed in three rounds new QIs for blood use at Dutch intensive care units (ICUs). The final set of QIs will be part of the National Intensive C...

Deep Web (DW) sources offer a wealth of structured, high-quality data, which is hidden behind human-centric user interfaces. Mashups, the combination of data from different Web services with formally defined query interfaces (QIs), are very popular today. If it would be possible to use DW sources as QIs, a whole new set of data services would be feasible. We present in this paper a framework th...

Quanta Image sensors (QIS) are proposed as a paradigm shift in image capture to take advantage of shrinking pixel sizes [1]. The key aspects of the single-bit QIS involve counting individual photoelectrons using tiny, spatially-oversampled binary photodetectors at high readout rates, representing this binary output as a bit cube (x,y,t) and finally processing the bit cubes to form high dynamic ...

OBJECTIVE Quality indicators (QIs) are routinely used in health systems, often on the assumption that they provide a valid reflection of the outcome of care. This study investigated the construct validity of 14 trauma QIs through their ability to identify patients at risk of poor outcomes, including increased mortality, longer lengths of stay and greater use of the intensive care unit (ICU). ...

BACKGROUND The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 is designed to collect the minimum amount of data to guide care planning and monitoring for residents in long-term care settings. These data have been used to compute indicators of care quality. Use of the quality indicators to inform quality improvement initiatives is contingent upon the validity and reliability of th...

In this article, the authors report on the development and testing of a set of indicators of quality of care in nursing homes, using resident-level assessment data. These quality indicators (QIs) have been developed to provide a foundation for both external and internal quality-assurance (QA) and quality-improvement activities. The authors describe the development of the QIs, discuss their natu...

ISO 15189:2012 requires the use of quality indicators (QIs) to monitor and evaluate all steps of the total testing process, but several difficulties dissuade laboratories from effective and continuous use of QIs in routine practice. An International Federation of Clinical Chemistry and Laboratory Medicine working group addressed this problem and implemented a project to develop a model of QIs t...

Quantum Intelligence System for Drug Discovery (QIS D) is a unique adaptive learning system designed to predict potential large-scale drug characteristics such as toxicity and efficacy. BioSpice is a set of software tools designed to represent and simulate cellular processes funded by DARPA. We show a QIS D model is successfully trained, tested and validated on experimental data sets for predic...