Suchmaschinen benötigen trotz ausgefeilter Algorithmen menschliche Bewerter der Suchresultate. Ein ziemlich aktueller Leitfaden vom März 2011 erklärt, wie Quality Rater gegen Spam vorgehen sollen und die Nützlichkeit von Webseiten einschätzen. Falls eine Seite nur dafür existiert Geld zu machen, ist die Seite Spam. . Die PDF-Datei der Rating Guidelines ist mit dem Datum 30.März 2011 [...]
AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
SONAR is an open source quality management platform, dedicated to continuously analyze and measure source code quality, from the portfolio to the method.
Emergency and urgent MH liaison targets. You can request a copy of this article by replying to this email. Please be clear which article you are requesting.
IHealth Education England (HEE) has worked with Public Concern at Work and the National Guardian Office to develop a package of online learning resources that aim to encourage and support NHS staff to raise and respond to concerns.
Available on HEE’s e-Learning for Healthcare (e-LfH) website, two e-learning sessions promote relevant policies, procedures, best practice and available support in relation to raising and responding to concerns.
NHS investigations and reporting of deaths (leading on from Southern Health issues). You can request a copy of this article by replying to this email. Please be clear which article you are requesting.
Prior literature identified the use of Performance Measurement Systems (PMS) as crucial in addressing improved processes of care. Moreover, a strategic use of PMS has been found to enhance quality, compared to non-strategic use, although a clear understanding of this linkage is still to be achieved. This paper deals with the test of direct and indirect models related to the link between the strategic use of PMS and the level of improved processes in health care organizations. Indirect models were mediated by the degree of perceived managerial discretion.
This report describes the quality improvement journey of three mental health organisations (two in England and one in Singapore). It provides key insights and lessons for others considering embarking on a similar journey.
Read our new briefing to help you understand more about how involving staff with quality improvement initiatives, can have a significant impact on your staff engagement levels.
The cause of adverse weekend clinical outcomes remains unknown. In 2013, the “NHS Services, Seven Days a Week” project was initiated to improve access to services across the seven-day week. Three years on, we sought to analyse the impact of such changes across the English NHS.
In Central and North West London NHS Foundation Trust we have been working over the past six months to embed outcome measurement in routine practice through the Psychological Medicine Clinical Network. Eight of our liaison mental health departments meet regularly to share ideas and learn from each other’s successes and failures. From this we’re identifying the factors needed to support effective use of the FROM-LP, and the benefits this kind of information can bring both to our patients and our services.
We are delighted to report that the latest inspection report on our Trust from the Care Quality Commission (CQC), the independent regulator of health and social care in England, has rated us as Good overall.
Four months ago a team from the CQC visited us to carry out an inspection. During the announced inspection in November 2016, the CQC team visited 28 wards, teams and clinics and spoke to staff, service users, relatives and carers, attended meetings and joined care professionals for home visits and clinic appointments.
Drug name confusion is a common type of medication error and a persistent threat to patient safety. In the USA, roughly one per thousand prescriptions results in the wrong drug being filled, and most of these errors involve drug names that look or sound alike. Prior to approval, drug names undergo a variety of tests to assess their potential for confusability, but none of these preapproval tests has been shown to predict real-world error rates.
Objectives We conducted a study to assess the association between error rates in laboratory-based tests of drug name memory and perception and real-world drug name confusion error rates. Login at top right hand side of page using your SSSFT NHS Athens for full text. SSOTP - You can request a copy of this article by replying to this email. Please ensure you are clear which article you are requesting.
M. Khurge, M. Waykole, M. Thorat, and M. Sapru. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (4):
2189--2193(April 2015)
D. Marghescu, and M. Rajanen. Proceedings of IASTED International Conference on Databases and Applications (DBA 2005), page 181-186. IASTED/ACTA Press, (2005)