Designing and developing an open source medical informatics module. - Suranga Nath Kasthurirathne (XRDS, 2012)

The Regenstrief global health informatics group: Indianapolis, Indiana. - Suranga Nath Kasthurirathne (XRDS, 2014)

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 (AMIA, 2015)

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 (AMIA, 2015)

Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches. - Suranga Nath Kasthurirathne; Brian E. Dixon; Shaun J. Grannis (MedInfo, 2015)

Towards Standardized Patient Data Exchange: Integrating a FHIR Based API for the Open Medical Record System. - Suranga Nath Kasthurirathne; Burke W. Mamlin; Grahame Grieve; Paul G. Biondich (MedInfo, 2015)

Enabling Better Interoperability for HealthCare: Lessons in Developing a Standards Based Application Programing Interface for Electronic Medical Record Systems. - Suranga Nath Kasthurirathne; Burke W. Mamlin; Harsha Kumara; Grahame Grieve; Paul G. Biondich (J. Medical Syst., 2015)

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 (AMIA, 2016)

Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection. - Suranga Nath Kasthurirathne; Brian E. Dixon; Judy Gichoya; Huiping Xu; Yuni Xia; Burke W. Mamlin; Shaun J. Grannis (J. Biomed. Informatics, 2016)

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 (AMIA, 2017)

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 (AMIA, 2017)

Personalizing Longitudinal Care Coordination for Patients with Chronic Kidney Disease. - Theresa A. Cullen; Suranga Nath Kasthurirathne; Jenna M. Norton; Andrew S. Narva (MedInfo, 2017)

An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings. - Suranga Nath Kasthurirathne; Paul G. Biondich; Burke W. Mamlin; Theresa A. Cullen; Shaun J. Grannis (MedInfo, 2017)

Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. - Suranga Nath Kasthurirathne; Brian E. Dixon; Judy Gichoya; Huiping Xu; Yuni Xia; Burke W. Mamlin; Shaun J. Grannis (J. Biomed. Informatics, 2017)

Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. - Suranga Nath Kasthurirathne; Joshua R. Vest; Nir Menachemi; Paul K. Halverson; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2018)

Response to letter to the Editor on "Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services". - Suranga Nath Kasthurirathne; Joshua R. Vest; Nir Menachemi; Paul K. Halverson; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2018)

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 (AMIA, 2019)

An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. - Suranga Nath Kasthurirathne; Gregory Dexter; Shaun J. Grannis (MedInfo, 2019)

Evaluating the effect of data standardization and validation on patient matching accuracy. - Shaun J. Grannis; Huiping Xu; Joshua R. Vest; Suranga Nath Kasthurirathne; Na Bo; Ben Moscovitch; Rita Torkzadeh; Josh Rising (J. Am. Medical Informatics Assoc., 2019)

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 (AMIA, 2020)

Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need. - Katie Allen; Daniel Hood; Jonathan Cummins; Suranga Nath Kasthurirathne; Peter J. Embí; Joshua R. Vest (AMIA, 2021)

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 (AMIA, 2021)

Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy. - Shaun J. Grannis; Jennifer L. Williams; Suranga Nath Kasthurirathne; Molly Murray; Huiping Xu (J. Am. Medical Informatics Assoc., 2022)

A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. - Agrayan K. Gupta; Suranga Nath Kasthurirathne; Huiping Xu; Xiaochun Li 003; Matthew M. Ruppert; Christopher A. Harle; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2022)