Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Farah, Magrabi"'
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Health systems underwent substantial changes to respond to COVID-19. Learning from the successes and failures of health system COVID-19 responses may help us understand how future health service responses can be designed to be bot
Externí odkaz:
https://doaj.org/article/9c04f3996fc54d53a6cf99fa2d16fdb9
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background The COVID-19 pandemic disrupted health systems around the globe. Lessons from health systems responses to these challenges may help design effective and sustainable health system responses for future challenges. This study aimed t
Externí odkaz:
https://doaj.org/article/559152039f734b6d809a19b281ccdb72
Autor:
Kathrin Cresswell, Nicolette de Keizer, Farah Magrabi, Robin Williams, Michael Rigby, Mirela Prgomet, Polina Kukhareva, Zoie Shui-Yee Wong, Philip Scott, Catherine K Craven, Andrew Georgiou, Stephanie Medlock, Jytte Brender McNair, Elske Ammenwerth
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e46407 (2024)
Given the requirement to minimize the risks and maximize the benefits of technology applications in health care provision, there is an urgent need to incorporate theory-informed health IT (HIT) evaluation frameworks into existing and emerging guideli
Externí odkaz:
https://doaj.org/article/bd7543e7545d443ca75fbdc29bae995d
Autor:
Sandy Middleton, Andrew Carson-Stevens, Jeffrey Braithwaite, Ying Wang, Peter D Hibbert, Robyn Clay-Williams, Virginia Mumford, Johanna Westbrook, Gaston Arnolda, Charlotte J Molloy, Raghu Lingam, Paul M Salmon, Siri Wiig, Carl de Wet, Bróna Nic Giolla Easpaig, Farah Magrabi, Gregory M Peterson, Kathleen Ryan, Elizabeth E Austin, Kirstine Sketcher-Baker, Louise Raggett, Mike Roberts, Patricia Bradd, Steven Bowden, Mark Zacka, Andy Phillips, Lanii Birks, Dinesh K Arya, Catherine Trevorrow, Suchit Handa, Girish Swaminathan
Publikováno v:
BMJ Open, Vol 14, Iss 7 (2024)
Introduction At least 10% of hospital admissions in high-income countries, including Australia, are associated with patient safety incidents, which contribute to patient harm (‘adverse events’). When a patient is seriously harmed, an investigatio
Externí odkaz:
https://doaj.org/article/cd414add0fcf4c81ad41887e1df4209a
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Computerised decision support (CDS) tools enabled by artificial intelligence (AI) seek to enhance accuracy and efficiency of clinician decision-making at the point of care. Statistical models developed using machine learning (ML) underpin most curren
Externí odkaz:
https://doaj.org/article/d42a999420a44cf187a7e730d288f05e
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-17 (2019)
Abstract Background Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinical practice or for rec
Externí odkaz:
https://doaj.org/article/a687d8f6f5a640dc91b359babf35c2dd
Autor:
Brenton Sanderson, Jeremy D. Field, Ahmet B. Kocaballi, Lise J. Estcourt, Farah Magrabi, Erica M. Wood, Enrico W. Coiera
Publikováno v:
Transfusion. 63:993-1004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e22ab984aba00ec0e5a54f12bf6e6d
https://doi.org/10.1111/trf.17315
https://doi.org/10.1111/trf.17315
Publikováno v:
BMJ Health & Care Informatics, Vol 28, Iss 1 (2021)
Objective To examine how and to what extent medical devices using machine learning (ML) support clinician decision making.Methods We searched for medical devices that were (1) approved by the US Food and Drug Administration (FDA) up till February 202
Externí odkaz:
https://doaj.org/article/966498e421854c76a7a1f8c719d86087
Publikováno v:
BMC Health Services Research, Vol 18, Iss 1, Pp 1-8 (2018)
Abstract Background Failure in the timely follow-up of test results has been widely documented, contributing to delayed medical care. Yet, the impact of delay in reviewing test results on hospital length of stay (LOS) has not been studied. We examine
Externí odkaz:
https://doaj.org/article/ac1c33e8c6504e25a03943a5b6da9cd3
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortun
Externí odkaz:
https://doaj.org/article/221df449d89246eea783f0a9c79ef13a