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Danielle A Southern

Showing results (1-10 of 138) with videos related to

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Medical Care|April 13, 2004
Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative dataDanielle A Southern, Hude Quan, William A Ghali
BMC Medical Informatics and Decision Making|June 7, 2022
Decision algorithm for when to use the ICD-11 3-part model for healthcare harmsCathy A Eastwood, Shahreen Khair, Danielle A Southern
The Canadian Journal of Cardiology|September 9, 2019
Identifying Atrial Fibrillation From 30,000 Feet: Strengths and Weaknesses of Health Administrative DataStephen B Wilton, Hongwei Liu, Danielle A Southern
BMC Medical Informatics and Decision Making|November 17, 2023
Interpreting and coding causal relationships for quality and safety using ICD-11Jean-Marie Januel, Danielle A Southern, William A Ghali
The Canadian Journal of Cardiology|February 2, 2006
Myocardial infarction on snow days: incidence, procedure, use and outcomesDanielle A Southern, Merril L Knudtson, William A Ghali, et al.
Health Informatics Journal|May 11, 2016
Under-coding of secondary conditions in coded hospital health data: Impact of co-existing conditions, death status and number of codes in a recordMingkai Peng, Danielle A Southern, Tyler Williamson, et al.
Population Health Metrics|December 19, 2024
Applying an ICD-10 to ICD-11 mapping tool to identify causes of death codes in an Alberta datasetChelsea Doktorchik, Danielle A Southern, James A King, et al.
BMC Medical Informatics and Decision Making|July 10, 2025
Coding mechanisms for main condition in ICD-11Hude Quan, Olafr Steinum, Danielle A Southern, et al.
International Journal of Population Data Science|November 4, 2021
Describing agreement in the main condition coding field using Canadian ICD-11 inpatient dataNatalie Wiebe, Hude Quan, Danielle A Southern, et al.
Journal of Epidemiology and Population Health|July 6, 2024
Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic reviewAngela Kuang, Claire Xu, Danielle A Southern, et al.
Pageof 14

Showing results (1-10 of 138) with videos related to

Sort By:
Pageof 14
Medical Care|April 13, 2004
Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative dataDanielle A Southern, Hude Quan, William A Ghali
BMC Medical Informatics and Decision Making|June 7, 2022
Decision algorithm for when to use the ICD-11 3-part model for healthcare harmsCathy A Eastwood, Shahreen Khair, Danielle A Southern
The Canadian Journal of Cardiology|September 9, 2019
Identifying Atrial Fibrillation From 30,000 Feet: Strengths and Weaknesses of Health Administrative DataStephen B Wilton, Hongwei Liu, Danielle A Southern
BMC Medical Informatics and Decision Making|November 17, 2023
Interpreting and coding causal relationships for quality and safety using ICD-11Jean-Marie Januel, Danielle A Southern, William A Ghali
The Canadian Journal of Cardiology|February 2, 2006
Myocardial infarction on snow days: incidence, procedure, use and outcomesDanielle A Southern, Merril L Knudtson, William A Ghali, et al.
Health Informatics Journal|May 11, 2016
Under-coding of secondary conditions in coded hospital health data: Impact of co-existing conditions, death status and number of codes in a recordMingkai Peng, Danielle A Southern, Tyler Williamson, et al.
Population Health Metrics|December 19, 2024
Applying an ICD-10 to ICD-11 mapping tool to identify causes of death codes in an Alberta datasetChelsea Doktorchik, Danielle A Southern, James A King, et al.
BMC Medical Informatics and Decision Making|July 10, 2025
Coding mechanisms for main condition in ICD-11Hude Quan, Olafr Steinum, Danielle A Southern, et al.
International Journal of Population Data Science|November 4, 2021
Describing agreement in the main condition coding field using Canadian ICD-11 inpatient dataNatalie Wiebe, Hude Quan, Danielle A Southern, et al.
Journal of Epidemiology and Population Health|July 6, 2024
Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic reviewAngela Kuang, Claire Xu, Danielle A Southern, et al.
Pageof 14