Faculty profile

Na Li

ResearcherCommunity Health SciencesUniversity of Calgary

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.

Na Li

Researcher

Community Health Sciences

Health Sciences

University of Calgary

Calgary, Alberta, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
40 publications in the last five years, latest in 2026.
Senior (last) author on 4 recent papers, a sign of leading a research group.
Principal investigator on 6 research grants (3 NSERC, 3 CIHR), most recently in 2025.
Supervised 1 trainee who won CIHR awards, most recently in 2025.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

944

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Profiles and links

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Signals and details

Research

Detection Of Sepsis Diagnostic And Prognostic Prediction Disease Surveillance Electronic Medical Records Federated Learning Machine Learning Population Health Chronic Diseases

Latest papers

MRSA transmission in hospitals across Alberta, Canada: a comparative study combining unidentified colonized cases upon admission.
BMC infectious diseases · 2026
Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency
Vox Sanguinis · 2026 · senior author
Red Cell Transfusion in General Medicine Patients at Teaching and Non-teaching Hospitals: A Retrospective Cohort Analysis
Journal of General Internal Medicine · 2026

All 48 publications

Latest funding

Enhancing sociodemographic data in a province-wide electronic health record
CIHR · 2025 · Co-investigator
$558,451
Understanding the Kinetics of Normal Platelet Count Regulation using Large Patient Datasets
CIHR · 2025 · Supervisor
$140,000
FedEMR.ai: A Scalable, Ethics-Ready Federated AI Platform for Multi-Hospital EMR Research
NSERC · 2025 · Principal investigator
$99,925

All 15 grants and awards

48 publications.

MRSA transmission in hospitals across Alberta, Canada: a comparative study combining unidentified colonized cases upon admission.

Li R, Deardon R, Li N, Conly J, Leal J

BMC infectious diseases2026

DOI: 10.1186/s12879-026-13839-w PMID: 42350988

Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency

Raza S, Goel R, Erikstrup C, D'Alessandro A, Custer B, Li N, Party TIBDW

Vox Sanguinis20264 citationsSenior author

DOI: 10.1111/vox.70236

Red Cell Transfusion in General Medicine Patients at Teaching and Non-teaching Hospitals: A Retrospective Cohort Analysis

Raza S, Risk M, Loeffler A, Verma AA, Razak F, Arnold D, Fergusson D, Ryan S, Relke N, Gabarin N

Journal of General Internal Medicine20262 citations

DOI: 10.1007/s11606-025-09860-5

Autoantibodies and Relapse of Systemic Sclerosis After Autologous Hematopoietic Cell Transplantation.

Levin D, Choi M, Kawasoe J, Durand C, Osman M, Kim H, Hemmati I, Woo M, Li D, Howlett J

Journal of Rheumatology20261 citations

DOI: 10.3899/jrheum.2025-0987

Opportunities for improving platelet transfusion practice: A large retrospective audit across 22 hospitals

Ryan S, Liu Y, Raza S, Loeffler A, Relke N, Gabarin N, Risk M, Nguyen PU, Li N, Verma A

British Journal of Haematology20261 citations

DOI: 10.1111/bjh.70304

Enabling the Analysis of Patient-Level Data Across Jurisdictions for Research Use: A Real-World Exploration of a Federated Likelihood Approach

Harmon M, Li N, Sajobi T, Holodinsky J, Williamson T

International Journal of Population Data Science2026

DOI: 10.23889/ijpds.v11i1.3160

Leveraging the Electronic Medical Record for Functional Neurological Disorder: A Scoping Review.

Khalfan I, Holodinsky JK, Li N, Gilmour GS

Canadian Journal of Neurological Sciences2026

DOI: 10.1017/cjn.2026.10648

Exploring the immunomodulatory impacts of blood manufacturing consolidation

Kauffman A, Zeller MP, Liu Y, Acker JP, Arnold DM, Heddle N, Hillis C, Li N, Rochwerg B, Lucier K

Transfusion2026

DOI: 10.1111/trf.70088

Machine Learning for Donor Safety and Engagement: An Analytical Assessment

Raza S, Li N, Goel R

Transfusion Medicine Reviews2026

DOI: 10.1016/j.tmrv.2026.151024

Reply to “Strengthening Translational Pathways: The Need for Readiness and Fairness Assessment in Transfusion AI Models”

Li N

Transfusion Medicine Reviews2026First author

DOI: 10.1016/j.tmrv.2025.150954

Enhancing sociodemographic data in a province-wide electronic health record

Co-investigatorCIHR2025Project Grant

Principal investigators: Tang, Karen L; Teare, Gary F

Keywords: Electronic Health Records; Mixed Methods; Social Determinants Of Health

$558,451

Understanding the Kinetics of Normal Platelet Count Regulation using Large Patient Datasets

SupervisorCIHR2025Canada Postdoctoral Research Award (CPRA) program

Principal investigators: Chowdhury, Saifur Rahman

Keywords: Artificial Intelligence; Disseminated Intravascular Coagulation; Heparin-Induced Thrombocytopenia; Immune Thrombocytopenia; Latent Class Mixed Model; Machine Learning; Major Cardiac Surgery; Platelet Count Regulation; Platelet Disorders; Statistical Methods

$140,000

FedEMR.ai: A Scalable, Ethics-Ready Federated AI Platform for Multi-Hospital EMR Research

Principal investigatorNSERC2025Alberta Innovates - Advance

Principal investigators: Li, Na

Keywords: Information systems and technology; Medical and health sciences

$99,925

A Mixed-Methods Approach to Understanding Frequent Use of the Emergency Department

Co-investigatorCIHR2025Project Grant

Principal investigators: Holodinsky, Jessalyn K; Elliott, Meghan; Patocka, Catherine

Keywords: Administrative Data; Emergency Department; Expert Panel; Frequent Use; Machine Learning; Qualitative Methods; Realist Analysis

$478,126

Development and Validation of AI-Based Methods for Temporal Pattern Learning in Repeated Electronic Health Record Data

Nominated PICIHR2025Project Grant

Principal investigators: Li, Na; Quan, Hude; Ravani, Pietro

Keywords: Chronic Diseases; Chronic Kidney Disease; Cross-Jurisdictional Validation; Deep Learning/Generative Ai; Electronic Health Records; Health Trajectories; Heart Failure; Risk Prediction; Routinely Recorded Health Data; Temporal Pattern Learning

$761,176

EQUIP Re-CKD: EQUity In Predicting Re-hospitalization among people with Chronic Kidney Disease

Co-investigatorCIHR2024Tm Gr.: Emb. Diversity to Achieve Prec./Health Eq-Nutrition/Metabolic Health-LOI

Principal investigators: Elliott, Meghan; Pannu, Neesh I; Harrison, Tyrone; Ravani, Pietro

Keywords: Health Equity; Kidney Disease; Multiple Methods; Re-Hospitalization; Risk Prediction

$20,000

EQUIP Re-CKD: EQUity In Predicting Re-hospitalization among people with Chronic Kidney Disease

Co-investigatorCIHR2024Tm Gr.:Embr. Diversity to Achieve Precision/Health Equity-Nutrition/Meta. Health

Principal investigators: Elliott, Meghan; Pannu, Neesh I; Donald, Maoliosa (Mo); Harrison, Tyrone; Ravani, Pietro

Keywords: Health Equity; Kidney Disease; Multiple Methods; Participatory Research; Re-Hospitalization; Risk Prediction

$1,497,590

Enhancing sociodemographic data in a province-wide electronic health record

Co-investigatorCIHR2023Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Tang, Karen L; Teare, Gary F

Keywords: Electronic Health Record; Natural Language Processing; Qualitative Methods; Social Determinants Of Health

$100,000

Data-Driven Methods for Blood Supply Chain Management Using Electronic Health Record (EHR) Data

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Li, Na

$12,500

Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection

Nominated PICIHR2022Project Grant

Principal investigators: Li, Na; Garland, Allan; Lamontagne, Francois; Li, Yue; Thavorn, Kednapa

Keywords: Cross-Jurisdictional Research; Detection Of Acute Myocardial Infarction; Detection Of Hypertension; Detection Of Sepsis; Diagnostic And Prognostic Prediction; Disease Surveillance; Electronic Medical Records; Federated Learning; Machine Learning; Population Health

$703,800

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Na Li

Research

Latest papers

Latest funding

MRSA transmission in hospitals across Alberta, Canada: a comparative study combining unidentified colonized cases upon admission.

Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency

Red Cell Transfusion in General Medicine Patients at Teaching and Non-teaching Hospitals: A Retrospective Cohort Analysis

Autoantibodies and Relapse of Systemic Sclerosis After Autologous Hematopoietic Cell Transplantation.

Opportunities for improving platelet transfusion practice: A large retrospective audit across 22 hospitals

Enabling the Analysis of Patient-Level Data Across Jurisdictions for Research Use: A Real-World Exploration of a Federated Likelihood Approach

Leveraging the Electronic Medical Record for Functional Neurological Disorder: A Scoping Review.

Exploring the immunomodulatory impacts of blood manufacturing consolidation

Machine Learning for Donor Safety and Engagement: An Analytical Assessment

Reply to “Strengthening Translational Pathways: The Need for Readiness and Fairness Assessment in Transfusion AI Models”

FedEMR.ai: A Scalable, Ethics-Ready Federated AI Platform for Multi-Hospital EMR Research

Data-Driven Methods for Blood Supply Chain Management Using Electronic Health Record (EHR) Data

Frequent collaborators

Na Li

Donald Arnold

Nancy Heddle

Yang Liu

Jeannie Callum

Shuoyan Ning

Michelle Zeller

Alan Tinmouth

Jeannie Callum

Douglas G Down

Sam Schulman

James Demetrios Douketis

Ishac Nazy

Ryan Zarychanski

Nadine Shehata

Allison McGeer

Lisa Schwartz

Nick Daneman

Richard Cook

Fahad Razak

Jeannie Callum

Mona Shafey

Caroline Hamm

Joseph Shaw

Jessalyn Holodinsky

Surain Roberts

Kathrin Tyryshkin

Dar Dowlatshahi

Jenine Leal

Ziad Solh