| 2021 | AMIA | Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need. | Katie Allen, Daniel Hood, Jonathan Cummins, Suranga Nath Kasthurirathne, Peter J. Emb, Joshua R. Vest |
| 2021 | AMIA | Evaluation of Token Collections and Matching Models to Support Privacy-Preserving Record Linkage (PPRL). | Shaun J. Grannis, Abel N. Kho, Jasmin Phua, Suranga Nath Kasthurirathne |
| 2020 | AMIA | Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields. | Shaun J. Grannis, Xiaochun Li, Huiping Xu, Toan C. Ong, Michael G. Kahn, Lauren R. Lembcke, Suranga Nath Kasthurirathne |
| 2019 | AMIA | Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics. | Gregory-Paul Dexter, Shaun J. Grannis, Suranga Nath Kasthurirathne |
| 2017 | AMIA | Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes? | Suranga Nath Kasthurirathne, Burke W. Mamlin, Saptarshi Purkayastha, Theresa Cullen |
| 2017 | AMIA | Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data. | Matthias Kochmann, Jiachen Wang, Brian E. Dixon, Suranga Nath Kasthurirathne, Shaun J. Grannis |
| 2016 | AMIA | An Evaluation of Activity Trackers for Monitoring Parkinson's Disease Patient Outcomes. | Josette F. Jones, Huanmei Wu, Jay S. Patel, Suranga Nath Kasthurirathne, Sunanda Mukherjee |
| 2015 | AMIA | OpenMRS and FHIR: The Promise of a Domain Independent API for serving Healthcare Needs Across Underserved Settings. | Suranga Nath Kasthurirathne, Harsha Kumara, Burke W. Mamlin, Paul G. Biondich |
| 2015 | AMIA | Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. | Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne |