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pro vyhledávání: '"Evans, Huw Prosser"'
Autor:
Rees, Philippa, Edwards, Adrian, Powell, Colin, Evans, Huw Prosser, Carter, Ben, Hibbert, Peter, Makeham, Meredith, Sheikh, Aziz, Donaldson, Liam, Carson-Stevens, Andrew
Publikováno v:
In Vaccine 31 July 2015 33(32):3873-3880
Akademický článek
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Autor:
Carson-Stevens, Andrew, Campbell, Stephen, Bell, Brian G., Cooper, Alison, Armstrong, Sarah, Ashcroft, Darren, Boyd, Matthew, Evans, Huw Prosser, Rajnikant Mehta, Sheehan, Christina, Sheikh, Aziz, Avery, Anthony
Avoidability ratings from Round 2 of RAND / UCLA consensus process. (DOCX 36 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d3f04cd5bfb7431042189329c4efd97
Autor:
Evans, Huw Prosser1 (AUTHOR), Anastasiou, Athanasios2 (AUTHOR), Edwards, Adrian1 (AUTHOR), Hibbert, Peter3 (AUTHOR), Makeham, Meredith3 (AUTHOR), Luz, Saturnino (AUTHOR), Sheikh, Aziz4 (AUTHOR), Donaldson, Liam5 (AUTHOR), Carson-Stevens, Andrew1 (AUTHOR) Carson-StevensAP@cardiff.ac.uk
Publikováno v:
Health Informatics Journal. Dec2020, Vol. 26 Issue 4, p3123-3139. 17p.
Autor:
Carson-Stevens, Andrew, Hibbert, Peter, Avery, Anthony, Butlin, Amy, Carter, Ben, Cooper, Alison, Evans, Huw Prosser, Gibson, Russell, Luff, Donna, Makeham, Meredith, McEnhill, Paul, Panesar, Sukhmeet S, Parry, Gareth, Rees, Philippa, Shiels, Emma, Sheikh, Aziz, Ward, Hope Olivia, Williams, Huw, Wood, Fiona, Donaldson, Liam, Edwards, Adrian
Publikováno v:
BMJ Open
Carson-Stevens, A, Hibbert, P, Avery, A, Butlin, A, Carter, B, Cooper, A, Evans, H P, Gibson, R, Luff, D, Makeham, M, McEnhill, P, Panesar, S S, Parry, G, Rees, P, Shiels, E, Sheikh, A, Ward, H O, Williams, H, Wood, F, Donaldson, L & Edwards, A 2015, ' A cross-sectional mixed methods study protocol to generate learning from patient safety incidents reported from general practice ', BMJ Open, vol. 5, no. 12, pp. e009079 . https://doi.org/10.1136/bmjopen-2015-009079
Carson-Stevens, A, Hibbert, P, Avery, A, Butlin, A, Carter, B, Cooper, A, Evans, H P, Gibson, R, Luff, D, Makeham, M, McEnhill, P, Panesar, S S, Parry, G, Rees, P, Shiels, E, Sheikh, A, Ward, H O, Williams, H, Wood, F, Donaldson, L & Edwards, A 2015, ' A cross-sectional mixed methods study protocol to generate learning from patient safety incidents reported from general practice ', BMJ open, vol. 5, no. 12, e009079 . https://doi.org/10.1136/bmjopen-2015-009079
Carson-Stevens, A, Hibbert, P, Avery, A, Butlin, A, Carter, B, Cooper, A, Evans, H P, Gibson, R, Luff, D, Makeham, M, McEnhill, P, Panesar, S S, Parry, G, Rees, P, Shiels, E, Sheikh, A, Ward, H O, Williams, H, Wood, F, Donaldson, L & Edwards, A 2015, ' A cross-sectional mixed methods study protocol to generate learning from patient safety incidents reported from general practice ', BMJ Open, vol. 5, no. 12, pp. e009079 . https://doi.org/10.1136/bmjopen-2015-009079
Carson-Stevens, A, Hibbert, P, Avery, A, Butlin, A, Carter, B, Cooper, A, Evans, H P, Gibson, R, Luff, D, Makeham, M, McEnhill, P, Panesar, S S, Parry, G, Rees, P, Shiels, E, Sheikh, A, Ward, H O, Williams, H, Wood, F, Donaldson, L & Edwards, A 2015, ' A cross-sectional mixed methods study protocol to generate learning from patient safety incidents reported from general practice ', BMJ open, vol. 5, no. 12, e009079 . https://doi.org/10.1136/bmjopen-2015-009079
INTRODUCTION: Incident reports contain descriptions of errors and harms that occurred during clinical care delivery. Few observational studies have characterised incidents from general practice, and none of these have been from the England and Wales
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::34097f6f7b410b2afaf5c513b60eb255
http://europepmc.org/articles/PMC4680001
http://europepmc.org/articles/PMC4680001
Akademický článek
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Autor:
Evans, Huw Prosser, Rees, Philippa, Williams, Huw, Carter, Ben, Hibbert, Peter, Sukhmeet Panesar, Luff, Donna, Parry, Gareth, Wood, Fiona, Cowie, Luke, Mayor, Sharon, Sheikh, Aziz, Avery, Anthony, Sir Liam Donaldson, Edwards, Adrian, Carson-Stevens, Andrew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7c9d489c664959a88d5801323eb5953
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
Akademický článek
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Autor:
Andrew Carson-Stevens, Saturnino Luz, Liam Donaldson, Peter Hibbert, Aziz Sheikh, Adrian Edwards, Meredith Makeham, Huw Prosser Evans, Athanasios Anastasiou
Publikováno v:
Evans, H, Anastasiou, A, Edwards, A, Hibbert, P, Makeham, M, Luz, S, Sheikh, A, Donaldson, L & Carson-Stevens, A 2019, ' Automated classification of primary care patient safety incident report content and severity using supervised Machine Learning (ML) approaches ', Health Informatics Journal . https://doi.org/10.1177/1460458219833102
Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text nature poses a major analytic challenge. The objective of this study was to test the capability of auton
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fda21dda09cdfb0c800997354646180