Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Michael, Shulha"'
Publikováno v:
JMIR Formative Research, Vol 8, p e50475 (2024)
BackgroundThough there has been considerable effort to implement machine learning (ML) methods for health care, clinical implementation has lagged. Incorporating explainable machine learning (XML) methods through the development of a decision support
Externí odkaz:
https://doaj.org/article/58d67dce951a4beb8c8581a4d90a5b34
Autor:
Michael Shulha, Samira Rahimi, Amrita Sandhu, Gauri Sharma, Vinita D'Souza, Rola Harmouche, Jordan Hovdebo
BACKGROUND The uptake of machine learning based decisions support has faced challenges in real world clinical scenarios. A key reason has been that clinicians lack trust in black box machine learning models. One approach to this challenge is through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da93667998d05fb355ef36db7e39794
https://doi.org/10.2196/preprints.39196
https://doi.org/10.2196/preprints.39196
Autor:
Reem El Sherif, Michael Shulha, Roland Grad, David Li Tang, Pierre Pluye, Genevieve Chaput, Annie Rochette, François Lagarde, Vera Granikov, Geneviève Doray
Publikováno v:
Education for Information. 36:7-18
Autor:
Michael Shulha, David Tang, David C. Slawson, Pierre Pluye, Allen F. Shaughnessy, Roland Grad
Publikováno v:
The Journal of the American Board of Family Medicine. 28:184-189
Objective: We propose a method of identifying clinical topics for campaigns like Choosing Wisely. Methods: In the context of an ongoing continuing medication education program, we analyzed ratings on every patient-oriented evidence that matters (POEM
Autor:
Bernard Marlow, Vera Granikov, Michael Shulha, Ivan Luiz Marques Ricarte, Pierre Pluye, Janique Johnson-Lafleur, Roland Grad
Publikováno v:
The Annals of Family Medicine. 11:559-567
PURPOSE We wanted to describe family physicians’ use of information from an electronic knowledge resource for answering clinical questions, and their perception of subsequent patient health outcomes; and to estimate the number needed to benefit fro
Autor:
Jonathan L. Moscovici, Roland Grad, Vera Granikov, Soumya Bindiganavile Sridhar, Pierre Pluye, Bernard Marlow, Lorie A. Kloda, Gillian Bartlett, Michael Shulha, Alain C. Vandal, Janique Johnson-Lafleur
Publikováno v:
Journal of the American Society for Information Science and Technology. 62:1884-1891
Inspired by the acquisition–cognition–application model (T. Saracevic & K.B. Kantor, 1997), we developed a tool called the Information Assessment Method to more clearly understand how physicians use clinical information. In primary healthcare, we
Autor:
Jay Mercer, Janique Johnson-Lafleur, Marie-Eve Beauchamp, Pierre Pluye, Roland Grad, Sharon Wood-Dauphinee, Bernard Marlow, Michael Shulha
Publikováno v:
Journal of the American Medical Informatics Association. 15:240-245
We conducted a prospective observational study to (1) determine usage and construct validity of a method to gauge the cognitive impact of information derived from daily e-mail, and (2) describe self-reported impacts of research-based synopses ( InfoP
Publikováno v:
Management Decision. 45:1497-1509
PurposeThe purpose of this paper is to provide an assessment framework for evaluating the success of knowledge management (KM) initiatives in a government setting.Design/methodology/approachThe approach used was to first conduct a brief review of the
Autor:
David Li Tang, Karen Tu, Michael Shulha, Roland Grad, Jamie Meuser, Pierre Pluye, Kenneth S. Goodman
Publikováno v:
Evidence Based Medicine. 19:1-3
Physician organisationsi recognise that searching quality knowledge resources at the point of care is important for continuing medical education (CME).1 However, those physicians inclined to occasionally search for an answer to a clinical question do
Publikováno v:
Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI.
Health professionals may follow original research via synopses received on e-mail. Synopses are written from original studies selected for validity and relevance. We explored professionals’ concerns about synopses (qualitative multiple case study).