Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Catherine Eastwood"'
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
Autor:
Namneet Sandhu, Sarah Whittle, Danielle Southern, Bing Li, Erik Youngson, Jeffery Bakal, Christie Mcleod, Lexi Hilderman, Tyler Williamson, Cheligeer Cheligeer, Robin Walker, Padma Kaul, Hude Quan, Catherine Eastwood
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 4 (2023)
Alberta has rich clinical and health services data held under the custodianship of Alberta Health and Alberta Health Services (AHS), which is not only used for clinical and administrative purposes but also disease surveillance and epidemiological res
Externí odkaz:
https://doaj.org/article/8c0d4f72cf904f0897ea4ef49c3bef44
Publikováno v:
BMC Health Services Research, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background The International Classification of Diseases (ICD) is the reference standard for reporting diseases and health conditions globally. Variations in ICD use and data collection across countries can hinder meaningful comparisons of mo
Externí odkaz:
https://doaj.org/article/b274156925cd443e993e8733dea0a6a9
Publikováno v:
International Journal of Population Data Science, Vol 6, Iss 1 (2021)
Introduction Countries use varying coding standards, which impact international coded data comparability. The `main condition' (MC) field is coded within the Discharge Abstract Database as "reason for admission" or "largest resource use". Objective
Externí odkaz:
https://doaj.org/article/709b6b73e21d48118d8f188eb1debb12
Publikováno v:
International Journal of Population Data Science, Vol 5, Iss 1 (2020)
Introduction and Objectives: Electronic medical records (EMRs), specifically the discharge summary (DS), can improve secondary use data availability and interprofessional communication. We aimed to assess the completeness of our EMRs by assessing
Externí odkaz:
https://doaj.org/article/f496d912feb043ada8192bd4e3beab19
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Theme: Data and Linkage Quality Objectives: • To define health data quality from clinical, data science, and health system perspectives • To describe some of the international best practices related to quality and how they are being applied
Externí odkaz:
https://doaj.org/article/18482c440a9c4e949900b8bbbb24ce79
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction It is essential that clinical documentation and data coding be of high quality for the production of healthcare data for research or administrative purposes. However, there is a limited understanding of the facilitators and barriers of c
Externí odkaz:
https://doaj.org/article/d87beda1eec34d91972604c722d33c55
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Main condition coding definitions in the International Classification of Disease (ICD) 10th and 11th versions are broadly defined in the current and upcoming versions of ICD, and coding health data can involve subjective coding specialis
Externí odkaz:
https://doaj.org/article/363df59f4f3943e385c76812f7074cb9
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Coded data serves a critical part in the process of identifying the resource allocation required for each department in a hospital and for research purposes. This paper attempts a cost-benefit analysis of the transition from ICD-9 health
Externí odkaz:
https://doaj.org/article/ea066ac01e10496ca6def0a58c5f69a8
Autor:
Catherine Eastwood, Danielle Southern, Alicia Boxill, Malgorzata Maciszewski, Hude Quan, Denise Cullen, Margaret Penchoff, William Ghali
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction A high performing health data classification system requires clear, comprehensive code descriptions and user-friendly coding tools for effective coding. Coding specialists have essential specialized knowledge to contribute to the develop
Externí odkaz:
https://doaj.org/article/495d5ccb0c2048308b74e2cd0334c6c2