Zobrazeno 1 - 10
of 936
pro vyhledávání: '"Haynes R Brian"'
Autor:
Pai Menaka, Lloyd Nancy S, Cheng Ji, Thabane Lehana, Spencer Frederick A, Cook Deborah J, Haynes R Brian, Schünemann Holger J, Douketis James D
Publikováno v:
Implementation Science, Vol 8, Iss 1, p 1 (2013)
Abstract Background Venous thromboembolism (VTE) is a common preventable cause of mortality in hospitalized medical patients. Despite rigorous randomized trials generating strong recommendations for anticoagulant use to prevent VTE, nearly 40% of med
Externí odkaz:
https://doaj.org/article/69742209add14c18b95d962b001afbf5
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wilczynski Nancy L, Navarro Tamara, Weise-Kelly Lorraine, Prorok Jeanette C, Mackay Jean A, Sebaldt Rolf J, Souza Nathan M, Haynes R Brian
Publikováno v:
Implementation Science, Vol 6, Iss 1, p 87 (2011)
Abstract Background Computerized clinical decision support systems (CCDSSs) are claimed to improve processes and outcomes of primary preventive care (PPC), but their effects, safety, and acceptance must be confirmed. We updated our previous systemati
Externí odkaz:
https://doaj.org/article/cbebf57f6fd54d678c0da86a64a8e110
Autor:
Navarro Tamara, Weise-Kelly Lorraine, Mackay Jean A, Sebaldt Rolf J, Garg Amit X, Gerstein Hertzel C, Misra Shikha, Roshanov Pavel S, Wilczynski Nancy L, Haynes R Brian
Publikováno v:
Implementation Science, Vol 6, Iss 1, p 92 (2011)
Abstract Background The use of computerized clinical decision support systems (CCDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient beh
Externí odkaz:
https://doaj.org/article/6f71eb55e3e74b18b533715417c8443f
Autor:
Grimshaw Jeremy M, Wilson Michael G, Lavis John N, Haynes R Brian, Hanna Steven, Raina Parminder, Gruen Russell, Ouimet Mathieu
Publikováno v:
Implementation Science, Vol 6, Iss 1, p 51 (2011)
Abstract Background Health-system policy makers need timely access to synthesised research evidence to inform the policy-making process. No efforts to address this need have been evaluated using an experimental quantitative design. We developed an ev
Externí odkaz:
https://doaj.org/article/c0f819912fd744c495e71da2c13666cf
Autor:
Lavis John N, Wilson Michael G, Grimshaw Jeremy M, Haynes R Brian, Bekele Tsegaye, Rourke Sean B
Publikováno v:
Implementation Science, Vol 6, Iss 1, p 52 (2011)
Abstract Background To support the use of research evidence by community-based organizations (CBOs) we have developed 'Synthesized HIV/AIDS Research Evidence' (SHARE), which is an evidence service for those working in the HIV sector. SHARE consists o
Externí odkaz:
https://doaj.org/article/df85b20e606e402f859da8a072353e0c
Autor:
Rousseau François, Pluye Pierre, Grad Roland, Legare France, Giguere Anik, Haynes R Brian, Cauchon Michel, Labrecque Michel
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 11, Iss 1, p 17 (2011)
Abstract Background Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are summaries of the most im
Externí odkaz:
https://doaj.org/article/1130a5805dc8465f8b411e8f91c76a8c
Autor:
Iansavichus Arthur V, Wilczynski Nancy L, McKibbon K Ann, Haynes R Brian, Cuerden Meaghan S, Shariff Salimah Z, Speechley Mark R, Thind Amardeep, Garg Amit X
Publikováno v:
Implementation Science, Vol 5, Iss 1, p 58 (2010)
Abstract Background Rather than searching the entire MEDLINE database, clinicians can perform searches on a filtered set of articles where relevant information is more likely to be found. Members of our team previously developed two types of MEDLINE
Externí odkaz:
https://doaj.org/article/fa3469fb857a4dd899df41652084baee
Autor:
Wilczynski Nancy L, Haynes R Brian
Publikováno v:
Implementation Science, Vol 5, Iss 1, p 12 (2010)
Abstract Background Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes,
Externí odkaz:
https://doaj.org/article/28ac59f4217f4768b9dfe393617c3fef