How to Choose a Site Visit Program

2005 ◽  
Vol 8 (3) ◽  
pp. 481-483 ◽  
Author(s):  
Diane E. Meier
Keyword(s):  
2018 ◽  
Vol 29 (2) ◽  
pp. 15-16
Author(s):  
Margaret Thomas-Evans ◽  
Carrie Longley ◽  
M. Michaux Parker
Keyword(s):  

2017 ◽  
pp. 94-115
Author(s):  
Emma Nolan
Keyword(s):  

2012 ◽  
Vol 21 (01) ◽  
pp. 139-143 ◽  
Author(s):  
A. Hasman

SummaryTo develop a procedure for accrediting health informatics programs.Development of a procedure for accreditation. Test of the accreditation procedure via a trial including four or five health informatics programs. A site visit committee consisting of three members evaluates the program based on a self-assessment report written by the program and the experiences and observations of the site visit committee during the site visit.A procedure for accreditation has been developed. The instructions for health informatics programs have been written and a checklist for the site visit committee members is available. In total six subjects are considered, each one consisting of one or more facets. Each facet is judged using its corresponding criterion. Five health informatics programs volunteered. One health informatics program in Finland has already been visited and a report has been produced by the site visit committee. The next site visits are in June and July 2012. The site visit in Finland showed that English summaries of master theses are not enough to get a first impression of the methods used in the thesis. A table of contents is also needed. This information then can be used to select theses written in a language other than English for discussion.The accreditation procedure document with instructions about writing the self-assessment report was very well structured and the instructions were clear according to the Finnish program. The site visit team could work well with the checklist. Self-assessment report model was very well structured and the instructions were clear.


1996 ◽  
Vol 34 (12) ◽  
pp. 173-181
Author(s):  
R. Glynn Skerratt

A case study is described which seeks to explain some of the key factors in the rationale, development, delivery and evaluation of a series of in-company process/technology training courses. The main points to emerge are the benefit to the training experience associated with interactive delivery and the advantages that are associated with developing group exercises which are coordinated with, and embedded within a site visit, and which are reviewed and discussed during a post-visit debriefing session. Guidance is given on ways of including these activities into training courses together with methods for evaluating their effectiveness.


Trials ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Valerie Smith ◽  
Mike Clarke ◽  
Cecily Begley ◽  
Declan Devane
Keyword(s):  

2012 ◽  
Vol 31 (2) ◽  
pp. 89-96 ◽  
Author(s):  
Nevart Chirinian ◽  
Atsuko Uji ◽  
Tetsuya Isayama ◽  
Vibhuti Shah

This article presents an overview of a neonatal intensive care unit along with resuscitative care and management of the 22 to 23 weeks gestational age infant is as it was noted during a visit to the NICU of a large academic center in Japan.Non-English speaking neonatology communities may be at a disadvantage of having their research and practices well known in the English speaking ones. Thus, visits such as this are beneficial in exchanging ideas and practices that may ultimately be mutually beneficial in reducing mortality and morbidity in a specific category of neonates.


2020 ◽  
Vol 15 (1) ◽  
pp. 12
Author(s):  
Sayeed Choudhury ◽  
Caihong Huang ◽  
Carole L. Palmer

The DCC Curation Lifecycle Model has played a vital role in the field of data curation for over a decade. During that time, the scale and complexity of data have changed dramatically, along with the contexts of data production and use. This paper reports on a study examining factors impacting data curation practices and presents recommendations for updating the DCC Curation Lifecycle Model. The study was grounded in a review of other lifecycle models and informed by a site visit to the Digital Curation Centre and consultation with expert practitioners and researchers. Framed by contemporary conditions impacting the conduct of research and provision of data services, the analysis and proposed recommendations account for the prominence of machine-actionable data, the importance of machine learning for data processing and analytics, growth of integrated research workflows, and escalating concerns with fairness, accountability, and transparency of data and algorithms.


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