Shaun J. Grannis

88 papers Misc 40Journal 33Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Derivation and validation of an algorithm for maternal-child linkage in electronic health records. J. Am. Medical Informatics Assoc. Colin M. Rogerson, Christopher W. Bartlett, John P. Price, Lang Li, Eneida A. Mendonça, Shaun J. Grannis
2026	J	`jnl`	Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes - a DiCAYA Network analysis. J. Am. Medical Informatics Assoc. Lorna E. Thorpe, Jasmin Divers, Annemarie Hirsch, Brian S. Schwartz, Bo Cai, Jihad S. Obeid, Angela Liese, Tessa Crume, Anna Bellatorre, Jiang Bian, Yi Guo, Sarah Bost, Tianchen Lyu, Matthew T. Mefford, Matt Zhou, Eva Lustigova, Levon H. Utidjian, Mitchell Maltenfort, Patrick Hanley, Meda E. Pavkov, Marc B. Rosenman, Andrea R. Titus, Charles Bailey, Christopher B. Forrest, Levon Utidjian, Mitch Maltenfort, Amy Shah, Eneida A. Mendonça, G. Todd Alonso, Sara J. Deakyne Davies, H. Timothy Bunnell, Anne Kazak, Melody Kitzmiller, Manmohan Kamboj, Dimitri A. Christakis, Daksha Ranade, Annemarie G. Hirsch, Joseph J. Dewalle, H. Lester Kirchner, Meredith Lewis, Dione G. Mercer, Cara M. Nordberg, Amy Poissant, Brian E. Dixon, Shaun J. Grannis, Katie S. Allen, Anna Roberts, Nimish Valvi, Jeff Warvel, Ashley Wiensch, Tamara S. Hannon, Kristi Reynolds, John Chang, Don McCarthy, Rong Wei, Hui Zhou, Marc Rosenman, Lu Zhang, George Lales, Anthony Wong, Allison Zelinski, Yuan Luo, Mark Weiner, Pedro Rivera, Thomas Carton, Elizabeth Nauman, Harold P. Lehmann, Meredith Akerman, Rebecca Anthopolos, Stefanie Bendik, Sarah Conderino, Andrew Fair, Jessica Guillaume, Shahidul Islam, Alan Jacobson, David C. Lee, Chinyere Okpara, Anand Rajan, Andrea Titus, Dana Dabelea, Theresa Anderson, Rebecca Conway, Toan Ong, Jack Pattee, Shawna Burgett, Hui Shao, Elizabeth A. Shenkman, Sarah J. Bost, William T. Donahoo, William R. Hogan, Piaopiao Li, Mattia Prosperi, Yonghui Wu, Angela D. Liese, Lisa Knight, Caroline Rudisill, Jessica Stucker, Deborah Bowlby, Elaine Apperson, Alex Ewing, Giuseppina Imperatore, Deborah Rolka, Hui Xie, Ibrahim Zaganjor
2025	J	`jnl`	Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care. BMC Medical Informatics Decis. Mak. Karmen S. Williams, Saurabh Rahurkar, Shaun J. Grannis, Titus K. Schleyer, Brian E. Dixon
2024	J	`jnl`	Linkability measures to assess the data characteristics for record linkage. J. Am. Medical Informatics Assoc. Toan C. Ong, Andrew Hill, Michael G. Kahn, Lauren R. Lembcke, Lisa M. Schilling, Shaun J. Grannis
2024	—	`conf`	Linking Maternal and Child Health Data to Enhance Public Health Surveillance and Implement Sustainable Interventions. MIE Brian E. Dixon, Jill Inderstrodt, Daniel P. Riggins, John P. Price, Titus Schleyer, Shaun J. Grannis
2023	J	`jnl`	Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network. J. Am. Medical Informatics Assoc. Keith Marsolo, Daniel Kiernan, Sengwee Toh, Jasmin Phua, Darcy Louzao, Kevin Haynes, Mark G. Weiner, Francisco Angulo, Charles Bailey, Jiang Bian, Daniel Fort, Shaun J. Grannis, Ashok Kumar Krishnamurthy, Vinit Nair, Pedro Rivera, Jonathan C. Silverstein, Maryan Zirkle, Thomas Carton
2022	J	`jnl`	A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. J. Am. Medical Informatics Assoc. Agrayan K. Gupta, Suranga Nath Kasthurirathne, Huiping Xu, Xiaochun Li, Matthew M. Ruppert, Christopher A. Harle, Shaun J. Grannis
2022	J	`jnl`	Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy. J. Am. Medical Informatics Assoc. Shaun J. Grannis, Jennifer L. Williams, Suranga Nath Kasthurirathne, Molly Murray, Huiping Xu
2022	J	`jnl`	Patient-Centered Data Home: A Path Towards National Interoperability. Frontiers Digit. Health Karmen S. Williams, Shaun J. Grannis
2021	Misc	`conf`	Evaluation of Token Collections and Matching Models to Support Privacy-Preserving Record Linkage (PPRL). AMIA Shaun J. Grannis, Abel N. Kho, Jasmin Phua, Suranga Nath Kasthurirathne
2021	Misc	`conf`	Evolving Challenges in Patient Matching. AMIA Abel N. Kho, Shaun J. Grannis, Adam Culbertson, Molly Murray, Yu Deng
2021	J	`jnl`	Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics. J. Am. Medical Informatics Assoc. Brian E. Dixon, Shaun J. Grannis, Connor McAndrews, Andrea A. Broyles, Waldo Mikels-Carrasco, Ashley Wiensch, Jennifer L. Williams, Umberto Tachinardi, Peter J. Embí
2020	J	`jnl`	Better patient identification could help fight the coronavirus. npj Digit. Medicine Ben Moscovitch, John D. Halamka, Shaun J. Grannis
2020	—	`conf`	Daily Visualization of Statewide COVID-19 Healthcare Data. VAHC Brian E. Dixon, Shaun J. Grannis, Umberto Tachinardi, Jennifer L. Williams, Connor McAndrews, Peter J. Embí
2020	Misc	`conf`	Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields. AMIA Shaun J. Grannis, Xiaochun Li, Huiping Xu, Toan C. Ong, Michael G. Kahn, Lauren R. Lembcke, Suranga Nath Kasthurirathne
2020	J	`jnl`	Underrepresented racial minorities in biomedical informatics doctoral programs: graduation trends and academic placement (2002-2017). J. Am. Medical Informatics Assoc. Kevin K. Wiley, Brian E. Dixon, Shaun J. Grannis, Nir Menachemi
2019	—	`conf`	An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. MedInfo Suranga Nath Kasthurirathne, Gregory Dexter, Shaun J. Grannis
2019	Misc	`conf`	An information infrastructure for federated, person-level linkage and query capability across private- and public-sector health data: The Indiana state EMS to HIE ED pilot project. AMIA Daniel Hood, Shaun J. Grannis, Peter J. Embí, Josh Martin, Darshan Shah, John Roach, Katie Allen
2019	Misc	`conf`	Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics. AMIA Gregory-Paul Dexter, Shaun J. Grannis, Suranga Nath Kasthurirathne
2019	J	`jnl`	Evaluating the effect of data standardization and validation on patient matching accuracy. J. Am. Medical Informatics Assoc. Shaun J. Grannis, Huiping Xu, Joshua R. Vest, Suranga Nath Kasthurirathne, Na Bo, Ben Moscovitch, Rita Torkzadeh, Josh Rising
2019	Misc	`conf`	Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS. AMIA Brian E. Dixon, Timothy D. McFarlane, Shaun J. Grannis, P. Joseph Gibson
2019	—	`conf`	Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program. PKDD/ECML Workshops (2) Abel N. Kho, Jingzhi Yu, Molly Scannell Bryan, Charon Gladfelter, Howard S. Gordon, Shaun J. Grannis, Margaret B. Madden, Eneida A. Mendonça, Vesna Mitrovic, Raj C. Shah, Umberto Tachinardi, Bradley W. Taylor
2018	J	`jnl`	Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. J. Am. Medical Informatics Assoc. Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
2018	Misc	`conf`	Examining the Heartland Region Pilot: First Look at the Patient-Centered Data HomeTM Framework. AMIA Karmen S. Williams, Shaun J. Grannis
2018	Misc	`conf`	Have you heard the one about the doctor who went into the exam room took care of the patient and walked out? AMIA J. Marc Overhage, Titus K. Schleyer, Shaun J. Grannis, Allan Fong, Raj M. Ratwani
2018	Misc	`conf`	Improving Population Health Reporting through Information Exchange Supported Decision Support: A Controlled Before-and-After Trial. AMIA Brian E. Dixon, Zuoyi Zhang, P. Joseph Gibson, Debra Revere, Shaun J. Grannis
2018	Misc	`conf`	Navigating the Exposome: Real-World Experiences Connecting Environment, Community, and Behavior to Health. AMIA Shaun J. Grannis, Joshua R. Vest, Chirag Patel, Elle Holbrook, Brian E. Dixon
2018	J	`jnl`	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". J. Am. Medical Informatics Assoc. Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
2018	Misc	`conf`	The Linchpin of Interoperability: Challenges and Solutions to Patient Record Matching. AMIA Robert S. Rudin, Shaun J. Grannis, Micky Tripathi, Jeffery Smith, Ben Moscovitch
2017	—	`conf`	An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings. MedInfo Suranga Nath Kasthurirathne, Paul G. Biondich, Burke W. Mamlin, Theresa A. Cullen, Shaun J. Grannis
2017	Misc	`conf`	An Overview of Emerging Real-World OpenHIE Use Cases: Successes, Challenges, and Future Opportunities. AMIA Shaun J. Grannis, Eric-Jan Manders, Frederick C. Leitner, Annah Ngaruro, Jack Bowie
2017	J	`jnl`	Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department. BMC Medical Informatics Decis. Mak. Brian E. Dixon, Zuoyi Zhang, Patrick Lai, Uzay Kirbiyik, Jennifer L. Williams, Rebecca A. Hills, Debra Revere, P. Joseph Gibson, Shaun J. Grannis
2017	—	`conf`	Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. BIBM Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan
2017	Misc	`conf`	Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data. AMIA Matthias Kochmann, Jiachen Wang, Brian E. Dixon, Suranga Nath Kasthurirathne, Shaun J. Grannis
2017	—	`conf`	Modeling heart procedures from EHRs: An application of exponential families. BIBM Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan
2017	J	`jnl`	The Building Blocks of Inter-operability. Appl. Clin. Inform. Adam Culbertson, Satyender Goel, Margaret B. Madden, Niloufar Safaeinili, Kathryn L. Jackson, Thomas Carton, Russ Waitman, Mei Liu, Ashok Krishnamurthy, Lauren Hall, Nickie Cappella, Shyam Visweswaran, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho
2017	J	`jnl`	Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. J. Biomed. Informatics Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
2017	Misc	`conf`	Using EHR and HIE data to identify patients' need for services that address the social determinants of health. AMIA Joshua R. Vest, Shaun J. Grannis, Jennifer L. Williams, Dawn P. Haut, Nir Menachemi
2017	J	`jnl`	Using structured and unstructured data to identify patients' need for services that address the social determinants of health. Int. J. Medical Informatics Joshua R. Vest, Shaun J. Grannis, Dawn P. Haut, Paul K. Halverson, Nir Menachemi
2016	—	`conf`	Healthcare Data Visualization: Geospatial and Temporal Integration. VISIGRAPP (2: IVAPP) Shenhui Jiang, Shiaofen Fang, Sam Bloomquist, Jeremy Keiper, Mathew J. Palakal, Yuni Xia, Shaun J. Grannis
2016	Misc	`conf`	Methods to Measure and Improve the Quality of Large Scale Health Data: An Application in Public Health Surveillance. AMIA Brian E. Dixon, Jon D. Duke, Shaun J. Grannis
2016	—	`conf`	Predicting Emergency Department Visits. CRI Sarah F. Poole, Shaun J. Grannis, Nigam Shah
2016	—	`conf`	Spiral Theme Plot. EuroVis (Short Papers) Shenghui Jiang, Shiaofen Fang, Shaun J. Grannis
2016	J	`jnl`	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. J. Biomed. Informatics Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
2016	Misc	`conf`	Transmission of ELR messages To Improve Public Health Reporting. AMIA Samar Binkheder, Brian E. Dixon, Shaun J. Grannis
2015	Misc	`conf`	Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities. AMIA Brian E. Dixon, Patrick Lai, Uzay Kirbiyik, Zuoyi Zhang, Debra Revere, Rebecca A. Hills, P. Joseph Gibson, Jennifer L. Williams, Shaun J. Grannis
2015	—	`conf`	Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches. MedInfo Suranga Nath Kasthurirathne, Brian E. Dixon, Shaun J. Grannis
2015	Misc	`conf`	Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. AMIA Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne
2015	Misc	`conf`	Improving Vaccine-Preventable Disease Reporting through Health Information Exchange. AMIA Brian E. Dixon, P. Joseph Gibson, Shaun J. Grannis
2015	Misc	`conf`	The Informatics Workforce for Population Health: Challenges, Initiatives and the Path Forward. AMIA Brian E. Dixon, Marty LaVenture, Bill Brand, Arthur J. Davidson, Shaun J. Grannis
2014	J	`jnl`	A Bayesian spatio-temporal approach for real-time detection of disease outbreaks: a case study. BMC Medical Informatics Decis. Mak. Jian Zou, Alan F. Karr, Gauri Datta, James Lynch, Shaun J. Grannis
2014	Misc	`conf`	An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions. AMIA Thomas S. Mwogi, Paul G. Biondich, Shaun J. Grannis
2014	Misc	`conf`	Demonstrating A Public Health Terrain Data Visualization System. AMIA Jeremy Keiper, Shiaofen Fang, Mathew Palakal, Yuni Xia, Sam Bloomquist, Shaun J. Grannis, Weizhi Li, Thanh M. Nguyen, Anand Krishnan
2014	J	`jnl`	The long road to semantic interoperability in support of public health: Experiences from two states. J. Biomed. Informatics Brian E. Dixon, Daniel J. Vreeman, Shaun J. Grannis
2014	Misc	`conf`	Using participatory design to optimize capture of information needed for public health reporting processes. AMIA Debra Revere, Jennifer L. Williams, Rebecca A. Hills, Shaun J. Grannis, Brian E. Dixon
2013	Misc	`conf`	A Practical Method for Predicting Frequent Use of Emergency Department Care Using Routinely Available Electronic Registration Data. AMIA Jianmin Wu, Huiping Xu, John T. Finnell, Shaun J. Grannis
2013	—	`conf`	A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data. MedInfo Brian E. Dixon, Marc B. Rosenman, Yuni Xia, Shaun J. Grannis
2013	J	`jnl`	A practical approach for incorporating dependence among fields in probabilistic record linkage. BMC Medical Informatics Decis. Mak. Joanne K. Daggy, Huiping Xu, Siu L. Hui, Roland E. Gamache, Shaun J. Grannis
2013	Misc	`conf`	How Fit is Electronic Health Data for its Intended Uses? Exploring Data Quality across Clinical, Public Health, and Research Use Cases. AMIA Shaun J. Grannis, Brian E. Dixon, Siaw-Teng Liaw, Michael G. Kahn, Hamish Fraser
2013	Misc	`conf`	Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases. AMIA Brian E. Dixon, Marc B. Rosenman, Shaun J. Grannis
2013	J	`jnl`	Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol. BMC Medical Informatics Decis. Mak. Brian E. Dixon, Shaun J. Grannis, Debra Revere
2013	Misc	`conf`	The Regenstrief Notifiable Condition Detector - Automated Public Health Reporting using Routine Electronic Laboratory Data. AMIA Brian E. Dixon, Shaun J. Grannis, Mark Tucker, Debbie Hemler
2013	J	`jnl`	Towards public health decision support: a systematic review of bidirectional communication approaches. J. Am. Medical Informatics Assoc. Brian E. Dixon, Roland E. Gamache, Shaun J. Grannis
2013	Misc	`conf`	Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics. AMIA Brian E. Dixon, Patrick Lai, Shaun J. Grannis
2012	Misc	`conf`	An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System. AMIA Judy Gichoya, Brian E. Dixon, John T. Finnell, Daniel J. Vreeman, Roland E. Gamache, Shaun J. Grannis
2012	J	`jnl`	Evaluation of a clinical decision support algorithm for patient-specific childhood immunization. Artif. Intell. Medicine Vivienne J. Zhu, Shaun J. Grannis, Wanzhu Tu, Marc B. Rosenman, Stephen M. Downs
2012	Misc	`conf`	Impact of Selective Mapping Strategies on Automated Laboratory Result Notification to Public Health Authorities. AMIA Roland E. Gamache, Shaun J. Grannis, Brian Edward Dixon, Daniel J. Vreeman
2012	Misc	`conf`	Patient Crossover between Healthcare Systems in Indiana. AMIA Blaine Y. Takesue, J. Marc Overhage, Shaun J. Grannis, Jane Wang, Siu L. Hui, Marc B. Rosenman
2012	Misc	`conf`	Unintended Consequences of Health Information Exchange: Identifying the Issues and Mitigating the Impact. AMIA Julie J. McGowan, Gilad J. Kuperman, Shaun J. Grannis, P. Jon White, Kathy Kenyon
2010	J	`jnl`	A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. IEEE Trans. Vis. Comput. Graph. Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2010	J	`jnl`	Data visualization speeds review of potential adverse drug events in patients on multiple medications. J. Biomed. Informatics Jon D. Duke, Xiaochun Li, Shaun J. Grannis
2009	Misc	`conf`	A Comparison of Automated Methicillin-Resistant AMIA David Shepherd, Jeff Friedlin, Shaun J. Grannis, Siu L. Hui, Abel N. Kho
2009	J	`jnl`	Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. IEEE Computer Graphics and Applications Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2009	Misc	`conf`	Implementing Broad Scale Childhood Immunization Decision Support as a Web Service. AMIA Vivienne J. Zhu, Shaun J. Grannis, Marc B. Rosenman, Stephen M. Downs
2009	J	`jnl`	Research Paper: An Empiric Modification to the Probabilistic Record Linkage Algorithm Using Frequency-Based Weight Scaling. J. Am. Medical Informatics Assoc. Vivienne J. Zhu, J. Marc Overhage, James Egg, Stephen M. Downs, Shaun J. Grannis
2009	J	`jnl`	Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts. BMC Medical Informatics Decis. Mak. Ryan P. Hafen, David E. Anderson, William S. Cleveland, Ross Maciejewski, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, Shaun J. Grannis
2008	—	`conf`	Understanding syndromic hotspots - a visual analytics approach. IEEE VAST Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert
2008	Misc	`conf`	Using Natural Language Processing to Improve Accuracy of Automated Notifiable Disease Reporting. AMIA Jeff Friedlin, Shaun J. Grannis, J. Marc Overhage
2007	—	`conf`	LAHVA: Linked Animal-Human Health Visual Analytics. IEEE VAST Ross Maciejewski, Benjamin Tyner, Yun Jang, Cheng Zheng, Rimma V. Nehme, David S. Ebert, William S. Cleveland, Mourad Ouzzani, Shaun J. Grannis, Lawrence T. Glickman
2006	J	`jnl`	Application of Information Technology: A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection. J. Am. Medical Informatics Assoc. Christopher A. Cassa, Shaun J. Grannis, J. Marc Overhage, Kenneth D. Mandl
2006	Misc	`conf`	The Indiana Public Health Emergency Surveillance System: Ongoing Progress, Early Findings, and Future Directions. AMIA Shaun J. Grannis, Michael Wade, P. Joseph Gibson, J. Marc Overhage
2005	Misc	`conf`	How Disease Surveillance Systems Can Serve as Practical Building Blocks for a Health Information Infrastructure: the Indiana Experience. AMIA Shaun J. Grannis, Paul G. Biondich, Burke W. Mamlin, M. D. Greg Wilson, Linda Jones, J. Marc Overhage
2005	Misc	`conf`	Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool. AMIA Shaun J. Grannis, James Egg, J. Marc Overhage
2004	—	`conf`	Real World Performance of Approximate String Comparators for use in Patient Matching. MedInfo Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald
2004	J	`jnl`	Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. J. Am. Medical Informatics Assoc. Kenneth D. Mandl, J. Marc Overhage, Michael M. Wagner, William B. Lober, Paola Sebastiani, Farzad Mostashari, Julie A. Pavlin, Per H. Gesteland, Tracee Treadwell, Eileen Koski, Lori Hutwagner, David L. Buckeridge, Raymond D. Aller, Shaun J. Grannis
2003	Misc	`conf`	Analysis of a Probabilistic Record Linkage Technique without Human Review. AMIA Shaun J. Grannis, J. Marc Overhage, Siu L. Hui, Clement J. McDonald
2003	J	`jnl`	Research Paper: Detection of Pediatric Respiratory and Diarrheal Outbreaks from Sales of Over-the-counter Electrolyte Products. J. Am. Medical Informatics Assoc. William R. Hogan, Fu-Chiang Tsui, Oleg Ivanov, Per H. Gesteland, Shaun J. Grannis, J. Marc Overhage, J. Michael Robinson, Michael M. Wagner
2002	Misc	`conf`	Analysis of identifier performance using a deterministic linkage algorithm. AMIA Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald