Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Quality Assurance in Evidence-Based Medicine

Quality Assurance in Evidence-Based Medicine
View Sample PDF
Author(s): Ioannis Apostolakis (National School of Public Health, Greece), Periklis Valsamos (Greek Ministry of Health and Social Solidarity, Greece) and Iraklis Varlamis (Harokopio University of Athens, Greece)
Copyright: 2011
Pages: 14
Source title: E-Health Systems Quality and Reliability: Models and Standards
Source Author(s)/Editor(s): Anastasius Moumtzoglou (Hellenic Society for Quality & Safety in Healthcare and P. & A. Kyriakou Children's Hospital, Greece) and Anastasia N. Kastania (Athens University of Economics and Business, Greece)
DOI: 10.4018/978-1-61692-843-8.ch008


View Quality Assurance in Evidence-Based Medicine on the publisher's website for pricing and purchasing information.


Evidence-based medicine (EBM) refers to the careful examination of all the available evidence when making decisions about the care of the individual patient. It assumes that well known medical practices and solutions are combined with the patient’s preferences and necessities in order to provide the most appropriate solution per case. The abundance of medical information in the web, the expansion of Semantic Web and the evolution of search services allowed the easier retrieval of scientific articles. Although the available infrastructure exists and continuously improves in performance, EBM still remains a complicated and sensitive process of high importance and has a need for Quality Assurance (QA). The purpose of this chapter is twofold: first, to provide an introduction on the concepts of Evidence-based Medicine, and second, to stress the necessity for structured methodologies that will assure the quality of the EBM process and ameliorate the final recommendations therapy. Since evidences are the building blocks of EBM, we capitalize on their quality and provide a critical overview of the existing methodologies in Quality Assurance of evidences.

Related Content

Giulia Perasso, Chiara Baghino, Elisabetta Capris, Elena Cocchi, Silvia Dini, Valentina Facchini, Antonella Panizzi, Valentina Salvagno. © 2022. 24 pages.
Simon Shachia Oryila, Philip Chike Chukwunonso Aghadiuno. © 2022. 32 pages.
Macire Kante, Patrick Ndayizigamiye. © 2022. 17 pages.
Abiodun Alao, Roelien Brink. © 2022. 32 pages.
Patrick Ndayizigamiye. © 2022. 19 pages.
Mwai Chipeta, Donald Flywell Malanga. © 2022. 28 pages.
Margaret Nagwovuma, Gilbert Maiga, Agnes Nakakawa, Emmanuel Eilu. © 2022. 22 pages.
Body Bottom