Current Studies

We strive to foster innovation and quality research that provides value and better outcomes for patients now and in the future.

Shaminder Singh and Hude Quan

Our Research Team

Our team consists of motivated and passionate individuals with diverse academic backgrounds including - but not limited to - data analytics, computer science, software engineering, health economics, nursing, epidemiology and biostatistics.

Meet the Team

Training and Experience of Coding with WHO’s International Classification of Diseases 11th Version (ICD-11)

Cathy A. Eastwood, Danielle A. Southern, Chelsea Doktorchik, Shahreen Khair, Denise Cullen, Alicia Boxill, Malgorzata Maciszewski, Lucia Otero Varela, William A. Ghali, Lori Moskal & Hude Quan.

The International Classification of Diseases for Mortality and Morbidity, 11th Version (ICD-11 MMS) was released worldwide in June 2018. As Canada prepares to adopt the new coding system, there was a need to train coders to code using this new system. A comprehensive package of training materials that can be used to train clinical coders on ICD-11 MMS was developed by the team and is provided here. 


ICD-11 Field Trial: Creating & Validating a Large Dually Coded Database

Quality of coded data has typically been studied using two common methods: re-coding by health information management (HIM) professionals specializing in clinical coding, and chart review by clinical personnel to identify conditions as a ‘reference standard’ for comparison with coded data. This paper provides a methodology to answer questions on comparability between the Canadian version of International Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10-CA) and ICD 11th Revision for Mortality and Morbidity Statistics (ICD-11 MMS), with a reference standard data set of diagnoses.


The Prevalence of Insomnia and Sleep Apnea in Discharge Abstract Data

Danielle E. Fox, Natalie Wiebe, Danielle A Southern, Hude Quan, Ellena Kim. Chris King, Olga Grosu, & Cathy Eastwood.

Insomnia and sleep apnea are associated with a variety of comorbid conditions and carry a symptom burden to patients. As the prevalence of insomnia and sleep apnea continue to rise, it is imperative that appropriate tools are implemented to accurately capture their prevalence in acute care settings. A retrospective chart review was conducted on 3074 inpatient charts in Calgary, Alberta. The estimated prevalence of insomnia was 10.36% and sleep apnea was 6.56% in inpatient visit between January 1 and June 30, 2015. The sensitivity of insomnia and sleep apnea were low, and the specificity was high when comparing the chart review to the International Classification of Diseases 10th edition. As both insomnia and sleep apnea were associated with various comorbid conditions, it would be imperative that alternate methods are identified to capture and code them. This would enable clinicians to better identify and treat them, and ultimately improve patient care.

Submitted to: Perspectives in Health Information Management


Unlocking the Potential of Electronic Health Records for Health Research

The widespread adoption of EMRs in health systems has led to unprecedented availability of big health data, which has enabled new research activities targeting precision medicine and precision public health. In this episode of Population Data BC (PopData) webinar series, Frank Lee and Adam D'Souza highlight the key EMR-related research projects CHI has embarked upon to harness the power of EMR data for precision medicine

Population Data BC