Publications

Electronic Medical Record (EMR) Tools


Abstract 246: Validating the Accuracy of Routine Electrocardiogram Arrhythmia Diagnosis From an Electronic Repository

Hongwei Liu, Reid Collins, Robert J Miller, Danielle A Southern, Bryan J Har, Matthew T James, Stephen B Wilton

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Developing a case definition for type 1 diabetes mellitus in a primary care electronic medical record database: an exploratory study

B.Cord Lethebe, Tyler Williamson, Stephanie Garies, Kerry McBrien, Charles Leduc, Sonia Butalia, Boglarka Soos, Marta Shaw, and Neil Drummond

 

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Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada

Alan Katz, Jennifer Enns, Sabrina Wong, Tyler Williamson, Alexander Singer, Kimberlyn McGrail, and Jeffery Bakal

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Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data

Mingkai Peng, Vijaya Sundararajan, Tyler Williamson, Evan P. Minty, Tony C. Smith, Chelsea T. A. Doktorchik and Hude Quan

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Indicators of missing Electronic Medical Record (EMR) discharge summaries: A retrospective study on data from a large Canadian cohort

Natalie Wiebe, Yuan Xu, Abdel Aziz Shaheen, Catherine Eastwood, Bastien Boussat and Hude Quan

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Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review

Kerry A. McBrien, Sepideh Souri, Nicola E. Symonds, Azin Rouhi, Brendan C. Lethebe, Tyler S. Williamson, Stephanie Garies, Richard Birtwhistle, Hude Quan, Gabriel E. Fabreau and Paul E. Ronksley

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Unlocking the Potential of Electronic Health Records for Health Research

Seungwon Lee, Yuan Xu, Adam G. D’Souza, Elliot A. Martin, Chelsea Doktorchik, Zilong Zhang and Hude Quan

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Figure 1

Featured Study

Unlocking the Potential of EHR for Health Research

We are utilizing SCM EHR and other data to develop and validate case definition algorithms, ultimately improving research methods such as risk adjustment. 

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Machine Learning & Data Mining


Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning

Michael Sanderson, Andrew G.M. Bulloch, JianLi Wang, Kimberly G. Williams, Tyler Williamson and Scott B. Pattern

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Predicting death by suicide using administrative health care system data: Can recurrent neural network, one-dimensional convolutional neural ...

Michael Sanderson, Andrew G.M. Bulloch, JianLi Wang, Tyler Williamson and Scott B. Pattern

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Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored ... COMPASS

Scott T. Leatherdale and Joon Lee

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Data Visualization


Data changes everything: Challenges and opportunities in data visualization design handoff

Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale and Wesley Willett

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Information Visualization and Proxemics: Design Opportunities and Empirical Findings

Mikkel Rønne Jakobsen, Yonas Sahlemariam Haile, Søren Knudsen and Kasper Hornbæk.

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Comparing ICD-data Across Countries: A Case for Visualization

Lucia Otero Varela, Søren Knudsen, Sheelagh Carpendale, Catherine Eastwood and Hude Quan.

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Dynamic Visual Analytics for Elicitation Meetings with ELICA

Zahra Shakeri Hossein Abad, Munib Rahman, Abdullah Cheema, Vincenzo Gervasi, Didar Zowghi, and Ken Barker.

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PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System

Søren Knudsen and Kasper Hornbæk.

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Visualizing Density of Healthcare Workers Across Time and Countries

Andie Green-Harrison, Søren Knudsen and Sheelagh Carpendale.

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Data Quality


Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review

Natalie Wiebe, Lucia O. Varela, Daniel J. Niven, Paul E. Ronksley, Nicolas Iragorri and Hude Quan

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Evaluation of interventions to improve electronic health record documentation within the inpatient setting: a protocol for a systematic review

Lucia O. Varela, Natalie Wiebe, Daniel J. Niven, Paul E. Ronksley, Nicolas Iragorri, Helen Lee Robertson and Hude Quan

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Achieving quality primary care data: a description of the Canadian Primary Care Sentinel Surveillance Network data capture, extraction ... in Alberta

Stephanie Garies, Michael Cummings, Brian Forst, Kerry McBrien, Boglarka Soos, Matt Taylor, Neil Drummond, Donna Manca, Kimberley Duerksen, Hude Quan and Tyler Williamson

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Our Resources

Our centre has many in-house resources like Alberta Health Services Analytics and a Statistics Canada Research Data Centre. Bringing these data assets together with the expertise of our team will enable the development of a sustainable, central research institute that can achieve exceedingly quick data access and analytics.

Patient-Oriented Research


Trajectories of perceived social support in acute coronary syndrome

Meng Wang, Colleen M. Norris, Michelle M. Graham, Maria Santana, Zhiying Liang, Oluwagbohunmi Awosoga, Danielle A. Southern, Matthew T. James, Stephen B. Wilton, Hude Quan, Mingshan Lu, William Ghali, Merril Knudtson and Tolulope T. Sajobi

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Administrative Data


Prospective validation and refinement of the APPROACH cardiovascular surgical intensive care unit readmission score

Sanam Verma, Danielle A Southern, Ismail R. Raslan, Colleen M. Norris, Michelle M. Graham, Sean M. Bagshaw, Jayan Nagendran, Todd Maclure, Louise Y. Sun, Wu Dat Chin and Sean van Diepen

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Identifying Atrial Fibrillation From 30,000 Feet: Strengths and Weaknesses of Health Administrative Data

Stephen B. Wilton, Hongwei Lui and Danielle A. Southern

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A disease-specific comorbidity index for predicting mortality in patients admitted to hospital with a cardiac condition

Lorenzo Azzalini, Malorie Chabot-Blanchet, Danielle A. Southern, Anna Nozza, Stephen B. Wilton, Michelle M. Graham, Guillaume Marquis Gravel, Jean-Pierre Bluteau, Jean-Lucien Rouleau, Marie-Claude Guertin and E. Marc Jolicoeur

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Empowering knowledge generation through international data network: the IMeCCHI-DATANETWORK

Lucia O. Varela, Marie-Annick Le Pogam, Amy Metcalfe, Pia Kjaer Kristensen, Hongsoo Kim, Raffaele Perego, Rosa Gini and Emanuele Carlini

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Challenges Associated with Cross-Jurisdictional Analyses using Administrative Health Data and Primary Care Electronic Medical Records in Canada

Alan Kats, Jennifer Enns, Sabrina T. Wong, Tyler Williamson, Alexander Singer, Kimberlyn McGrail, Jeffery A. Bakal, Carole Taylor and Sandra Peterson

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Developing case‐finding algorithms for second events of oropharyngeal cancer using administrative data: A population‐based validation study

Yuan Xu, Shiying Kong, Winson Y. Cheung, May Lynn Quan, Steven C. Nakoneshny and Joseph C. Dort

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Development and validation of case-finding algorithms for recurrence of breast cancer using routinely collected administrative data

Yuan Xu, Shiying Kong, Winson Y. Cheung, Antoine Bouchard-Fortier, Joseph C. Dort, Hude Quan, Elizabeth M. Buie, Geoff McKinnon and May Lynn Quan

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Association of Levels of Specialized Care With Risk of Premature Mortality in Patients With Epilepsy.

Lowerison M, Josephson CB, Jette N, Sajobi TT, Patten S, Williamson T, Deardon R, Barkema HW, and Wiebe S

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Oncocytic subtypes of adrenal cortical carcinoma: Aggressive in appearance yet more indolent in behavior?

Jane Mills, Moosa Khalil, Janice Pasieka, Shiying (Kristine) Kong, Yuan Xu, & Adrian Harvey.

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World Health Organization - Collaborating Centre (WHO-CC)


Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data.

DA Southern, Burnand B, Droesler S, Flemons W, Forster A, Gurevich Y, Harrison J, Quan H, Pincus HA, Romano PS, Sundararajan V, Kostanjsek N, Ghali WA

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A World Health Organization field trial assessing a proposed ICD-11 framework for classifying patient safety events

AJ Forster, Burnand B, Droesler S, Gurevich Y, Harrison J, Januel JM, Romano PS, Southern DA, Sundararajan V, Quan H, Vanderloo SE, Pincus HA, Ghali WA.

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ICD-11 for quality and safety: overview of the WHO Quality and Safety Topic Advisory Group.

Ghali WA, Pincus HA, Southern DA, Brien SE, Romano PS, Burnand B, Drösler SE, Sundararajan V, Moskal L, Forster AJ, Gurevich Y, Quan H, Colin C, Munier WB, Harrison J, Spaeth-Rublee B, Kostanjsek N, Ustün TB.

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International variation in the definition of 'main condition' in ICD-coded health data.

Quan H, Moskal L, Forster AJ, Brien S, Walker R, Romano PS, Sundararajan V, Burnand B, Henriksson G, Steinum O, Droesler S, Pincus HA, Ghali WA.

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Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety.

Sundararajan V, Romano PS, Quan H, Burnand B, Drösler SE, Brien S, Pincus HA, Ghali WA

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Opportunities and challenges for quality and safety applications in ICD-11: an international survey of users of coded health data.

Southern DA, Hall M, White DE, Romano PS, Sundararajan V, Droesler SE, Pincus HA, Ghali WA.

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Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).

Southern DA, Pincus HA, Romano PS, Burnand B, Harrison J, Forster AJ, Moskal L, Quan H, Droesler SE, Sundararajan V, Colin C, Gurevich Y, Brien SE, Kostanjsek N, Üstün B, Ghali WA; World Health Organization ICD-11 Revision Topic Advisory Group on Quality & Safety.

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