Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Natalie, Wiebe"'
Autor:
Jawad Chishtie, Natalie Sapiro, Natalie Wiebe, Leora Rabatach, Diane Lorenzetti, Alexander A Leung, Doreen Rabi, Hude Quan, Cathy A Eastwood
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e51003 (2023)
BackgroundElectronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there
Externí odkaz:
https://doaj.org/article/7581710dc1ac418391021d81c1450eaa
Autor:
Seungwon Lee, MPH, Bing Li, MA, Elliot A. Martin, PhD, Adam G. D’Souza, PhD, Jason Jiang, MSc, Chelsea Doktorchik, MSc, Danielle A. Southern, MSc, Joon Lee, PhD, Natalie Wiebe, RN, Hude Quan, MD, PhD, Cathy A. Eastwood, RN, PhD
Publikováno v:
CJC Open, Vol 3, Iss 5, Pp 639-645 (2021)
Background: The initiatives of precision medicine and learning health systems require databases with rich and accurately captured data on patient characteristics. We introduce the Clinical Registry, AdminisTrative Data and Electronic Medical Records
Externí odkaz:
https://doaj.org/article/2513e740f7e74c479319d1c43c5d4135
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
Autor:
Tolulope T. Sajobi, Farnaz Amoozegar, Meng Wang, Natalie Wiebe, Kirsten M. Fiest, Scott B. Patten, Nathalie Jette
Publikováno v:
BMC Neurology, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background In persons with migraine, severity of migraine is an important determinant of several health outcomes (e.g., patient quality of life and health care resource utilization). This study investigated how migraine patients rate the sev
Externí odkaz:
https://doaj.org/article/dec709f621224566955f69ee9fdfdef0
Autor:
Lucia Otero Varela, Natalie Wiebe, Daniel J. Niven, Paul E. Ronksley, Nicolas Iragorri, Helen Lee Robertson, Hude Quan
Publikováno v:
Systematic Reviews, Vol 8, Iss 1, Pp 1-6 (2019)
Abstract Background Electronic health records (EHRs) are increasing in popularity across national and international healthcare systems. Despite their augmented availability and use, the quality of electronic health records is problematic. There are v
Externí odkaz:
https://doaj.org/article/261604632e984d078eba65cde0912e63
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
Autor:
Natalie Wiebe, Lucia Otero Varela, Daniel Niven, Paul E Ronksley, Nicolas Iraggori, Helen Lee Robertson, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Despite increased use of electronic health records (EHRs), EHR documentation quality remains poor. Consequently, EHR data quality is also negatively affected. Many services, including disease surveillance and health services research, ut
Externí odkaz:
https://doaj.org/article/c0212493e6484370bc97b456ed6553c6
Autor:
Catherine Eastwood, Danielle Southern, Alicia Boxill, Natalie Wiebe, William Ghali, Hude Quan
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Hospital safety performance is difficult to monitor when under-coding of hospital harms is common. The beta version of ICD-11 includes a 3-part model for coding harms to enhance adverse event descriptions. This method includes code clust
Externí odkaz:
https://doaj.org/article/deff96d4227a4aa3a321cc23aaa31b2e
Autor:
Lucia Otero Varela, Chelsea Doktorchik, Natalie Wiebe, Danielle A Southern, Søren Knudsen, Pallavi Mathur, Hude Quan, Cathy A Eastwood
Publikováno v:
Otero Varela, L, Doktorchik, C, Wiebe, N, Southern, D A, Knudsen, S, Mathur, P, Quan, H & Eastwood, C A 2022, ' International Classification of Diseases clinical coding training: An international survey ', Health information management : journal of the Health Information Management Association of Australia . https://doi.org/10.1177/18333583221106509
Background The International Classification of Diseases (ICD) is widely used by clinical coders worldwide for clinical coding morbidity data into administrative health databases. Accordingly, hospital data quality largely depends on the coders’ ski
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f665cdd1d2268ee06a7d068373e8e85
https://pure.itu.dk/ws/files/101333700/otero-varela-et-al-2022-international-classification-of-diseases-clinical-coding-training-an-international-survey.pdf
https://pure.itu.dk/ws/files/101333700/otero-varela-et-al-2022-international-classification-of-diseases-clinical-coding-training-an-international-survey.pdf
