Namneet Sandhu, Epidemiologist, Centre for Health Informatics

Namneet Sandhu

BSc, MPH

Positions

Epidemiologist

Cumming School of Medicine, Centre for Health Informatics

Contact information

Web presence

Location

Office: CWPH5E40.12

Background

Educational Background

Master of Public Health University of Saskatchewan,

Bachelor of Science Simon Fraser University,

Biography

Namneet Sandhu is a health data researcher affiliated with the Cente for Health Informatics at the University of Calgary. Her work focuses on health informatics, epidemiology, administrative health data, and improving the quality and use of healthcare information to support research, policy, and patient outcomes. She has contributed to projects involving international disease classification systems, health data governance, and data quality indicators for healthcare databases. Through her work at the University of Calgary, Namneet Sandhu continues to contribute to initiatives that strengthen health information systems, enhance research quality, and support the effective use of health data for improving population health outcomes. 

More Information

Selected Publications:

  • Sandhu, N., Onos, D., Li, B., Southern, D. A., Bakal, J. A., Shaheen, A. A., Tower, G., Addison, K., Whittle, S., & Quan, H. (2025). How does the mapped ICD data in an EHR system compare to the hospital DAD data in Alberta, Canada?. BMC health services research25(1), 1523. 
  • Kuang, A., Xu, C., Southern, D. A., Sandhu, N., & Quan, H. (2024). Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review. Journal of epidemiology and population health72(4), 202744. 
  • Otero-Varela, L., Sandhu, N., Walker, R. L., Southern, D. A., Quan, H., & Eastwood, C. A. (2024). Development of Data Quality Indicators for Improving Hospital International Classification of Diseases-Coded Health Data Quality Globally. Medical care62(9), 575–582. 
  • Sandhu, N., Krusina, A., Quan, H., Walker, R., Martin, E. A., Eastwood, C. A., & Southern, D. A. (2023). Automated extraction of weight, height, and obesity in electronic medical records are highly valid. Obesity science & practice10(1), e705. 
  • Sandhu, N., Whittle, S., Southern, D. A., Li, B., Youngson, E., Bakal, J. A., Mcleod, C., Hilderman, L., Williamson, T. S., Cheligeer, K., Walker, R. L., Kaul, P., Quan, H., & Eastwood, C. A. (2023). Health data governance for research use in Alberta. International journal of population data science8(4), 2160. 
  • Sandhu, N., Whittle, S., Otero Varela, L., Southern, D., Eastwood, C. A., & Quan, H. (2025). Applying the hospital administrative data quality scoring tool in 15 countries. Health information management : journal of the Health Information Management Association of Australia, 18333583251362053. Advance online publication.