Zobrazeno 1 - 10
of 740
pro vyhledávání: '"Hude, Quan"'
Autor:
Jiami Yang, Yong Zeng, Lin Yang, Nadia Khan, Shaminder Singh, Robin L. Walker, Rachel Eastwood, Hude Quan
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Objective Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The
Externí odkaz:
https://doaj.org/article/598b8a174f1249b5921a835e36de3e5d
Autor:
Max Jajszczok, Cathy A. Eastwood, Mingshan Lu, Ceara Cunningham, Danielle A. Southern, Hude Quan
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background This study, part of a multi-study program, aimed to identify a core set of cost-based quality and performance indicators using a modified Delphi research approach. Conceptually, this core set of cost-based indicators is intended f
Externí odkaz:
https://doaj.org/article/388447d3cdd542e8b6f9aa086c6baf21
Autor:
Allison Grothman, William J Ma, Kendra G Tickner, Elliot A Martin, Danielle A Southern, Hude Quan
Publikováno v:
JMIR Medical Informatics, Vol 12, Pp e49781-e49781 (2024)
Abstract BackgroundElectronic medical records (EMRs) contain large amounts of detailed clinical information. Using medical record review to identify conditions within large quantities of EMRs can be time-consuming and inefficient. EMR-based phenotyp
Externí odkaz:
https://doaj.org/article/48b4f834492e40219ffdf01d4cd377f6
Autor:
Namneet Sandhu, Bing Li, Danielle A Southern, Glenda Tower, Debbie Onos, Anita Lochhead, Sarah Whittle, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Introduction Coding has become burdensome to healthcare systems due to patient complexity and resource requirements. In Alberta, Intelligent Medical Objects (IMO), an interface terminology mapping product, is integrated within the new province-wide C
Externí odkaz:
https://doaj.org/article/00797b345fc740feb67e39b1f29b6252
Autor:
Namneet Sandhu, Sarah Whittle, Lucia Otero Varela, Cathy A Eastwood, Danielle A Southern, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Introduction Globally, differences in coding practices and guidelines lead to variations in hospital-administrative data. Studies on patient safety found that better hospital-data quality is associated with higher rates of patient safety events. This
Externí odkaz:
https://doaj.org/article/2f4f2b9d0d66406799505f4a01ca250c
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. Methods A comprehensive systematic literature search using Ovid MEDLINE, Embase, PsycINFO, Web of Science
Externí odkaz:
https://doaj.org/article/603b48b2f6ca4d5b93c46bd2a33c8c3b
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Social determinants of health (SDOH) have been shown to be important predictors of health outcomes. Here we assess how best to extract SDOH variables from inpatient electronic medical record (EMR) data. Approach Four social determinants wer
Externí odkaz:
https://doaj.org/article/5d5ccb27b31546cf913327b9479fe914
Autor:
Kiarash Riazi, Adam Virani, Eshnaa Aujla, Jie Pan, Seungwon Lee, Elliot A. Martin, Hude Quan, Na Li
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Cardiovascular diseases (CVD) are the leading cause of mortality and morbidity worldwide. Traditionally, disease surveillance relies on data from surveys, registries, and administrative databases. As medical records undergo global digitizat
Externí odkaz:
https://doaj.org/article/86aa57aa97434059967117c43db3e3f6
Autor:
Jie Pan, Seungwon Lee, Cheligeer Cheligeer, Natalie Sapiro, Bing Li, Guosong Wu, Catherine Eastwood, Hude Quan, Yuan Xu
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective To evaluate validity of hospital-discharged abstract administrative health data (DAD) over years through chart reviews. Methods We analyzed three chart review cohorts (4,008 patients in 2003, 3,045 in 2015, and 9,024 in 2022) in Calgary,
Externí odkaz:
https://doaj.org/article/258c9e50683f49349dbb3ad8f282e183
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective Electronic medical records (EMR) are widely available to complement administrative data-based disease surveillance and healthcare performance evaluation. Defining conditions from EMR is labour-intensive, requiring advanced medical informati
Externí odkaz:
https://doaj.org/article/a0ec4b13ddb74b7c96a8af1b6e69932d