Shaun J. Grannis

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 40

Top Topics

Health Information

Cancer Detection

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

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
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. 30 (3) (2023)
Karmen S. Williams, Shaun J. Grannis
Patient-Centered Data Home: A Path Towards National Interoperability. Frontiers Digit. Health 4 (2022)
Agrayan K. Gupta, Suranga Nath Kasthurirathne, Huiping Xu, Xiaochun Li, Matthew M. Ruppert, Christopher A. Harle, Shaun J. Grannis
A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Shaun J. Grannis, Jennifer L. Williams, Suranga Nath Kasthurirathne, Molly Murray, Huiping Xu
Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy. J. Am. Medical Informatics Assoc. 29 (8) (2022)
Shaun J. Grannis, Abel N. Kho, Jasmin Phua, Suranga Nath Kasthurirathne
Evaluation of Token Collections and Matching Models to Support Privacy-Preserving Record Linkage (PPRL). AMIA (2021)
Abel N. Kho, Shaun J. Grannis, Adam Culbertson, Molly Murray, Yu Deng
Evolving Challenges in Patient Matching. AMIA (2021)
Brian E. Dixon, Shaun J. Grannis, Connor McAndrews, Andrea A. Broyles, Waldo Mikels-Carrasco, Ashley Wiensch, Jennifer L. Williams, Umberto Tachinardi, Peter J. Embí
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. 28 (7) (2021)
Brian E. Dixon, Shaun J. Grannis, Umberto Tachinardi, Jennifer L. Williams, Connor McAndrews, Peter J. Embí
Daily Visualization of Statewide COVID-19 Healthcare Data. VAHC (2020)
Kevin Wiley, Brian E. Dixon, Shaun J. Grannis, Nir Menachemi
Underrepresented racial minorities in biomedical informatics doctoral programs: graduation trends and academic placement (2002-2017). J. Am. Medical Informatics Assoc. 27 (11) (2020)
Ben Moscovitch, John D. Halamka, Shaun J. Grannis
Better patient identification could help fight the coronavirus. npj Digit. Medicine 3 (2020)
Shaun J. Grannis, Xiaochun Li, Huiping Xu, Toan C. Ong, Michael G. Kahn, Lauren R. Lembcke, Suranga Nath Kasthurirathne
Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields. AMIA (2020)
Shaun J. Grannis, Huiping Xu, Joshua R. Vest, Suranga Nath Kasthurirathne, Na Bo, Ben Moscovitch, Rita Torkzadeh, Josh Rising
Evaluating the effect of data standardization and validation on patient matching accuracy. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Gregory P. Dexter, Shaun J. Grannis, Suranga Nath Kasthurirathne
Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics. AMIA (2019)
Brian E. Dixon, Timothy D. McFarlane, Shaun J. Grannis, P. Joseph Gibson
Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS. AMIA (2019)
Daniel Hood, Shaun J. Grannis, Peter J. Embí, Josh Martin, Darshan Shah, John Roach, Katie Allen
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 (2019)
Suranga Nath Kasthurirathne, Gregory Dexter, Shaun J. Grannis
An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. MedInfo (2019)
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 Taylor
Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program. PKDD/ECML Workshops (2) (2019)
Robert S. Rudin, Shaun J. Grannis, Micky Tripathi, Jeffery Smith, Ben Moscovitch
The Linchpin of Interoperability: Challenges and Solutions to Patient Record Matching. AMIA (2018)
Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
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. 25 (1) (2018)
J. Marc Overhage, Titus K. Schleyer, Shaun J. Grannis, Allan Fong, Raj M. Ratwani
Have you heard the one about the doctor who went into the exam room took care of the patient and walked out? AMIA (2018)
Karmen S. Williams, Shaun J. Grannis
Examining the Heartland Region Pilot: First Look at the Patient-Centered Data HomeTM Framework. AMIA (2018)
Brian E. Dixon, Zuoyi Zhang, P. Joseph Gibson, Debra Revere, Shaun J. Grannis
Improving Population Health Reporting through Information Exchange Supported Decision Support: A Controlled Before-and-After Trial. AMIA (2018)
Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
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. 25 (8) (2018)
Shaun J. Grannis, Joshua R. Vest, Chirag Patel, Elle Holbrook, Brian E. Dixon
Navigating the Exposome: Real-World Experiences Connecting Environment, Community, and Behavior to Health. AMIA (2018)
Joshua R. Vest, Shaun J. Grannis, Dawn P. Haut, Paul K. Halverson, Nir Menachemi
Using structured and unstructured data to identify patients' need for services that address the social determinants of health. Int. J. Medical Informatics 107 (2017)
Matthias Kochmann, Jiachen Wang, Brian E. Dixon, Suranga Nath Kasthurirathne, Shaun J. Grannis
Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data. AMIA (2017)
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
The Building Blocks of Inter-operability. Appl. Clin. Inform. 8 (02) (2017)
Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. BIBM (2017)
Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
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 69 (2017)
Shaun J. Grannis, Eric-Jan Manders, Frederick C. Leitner, Annah Ngaruro, Jack Bowie
An Overview of Emerging Real-World OpenHIE Use Cases: Successes, Challenges, and Future Opportunities. AMIA (2017)
Joshua R. Vest, Shaun J. Grannis, Jennifer L. Williams, Dawn P. Haut, Nir Menachemi
Using EHR and HIE data to identify patients' need for services that address the social determinants of health. AMIA (2017)
Brian E. Dixon, Zuoyi Zhang, Patrick Lai, Uzay Kirbiyik, Jennifer L. Williams, Rebecca A. Hills, Debra Revere, P. Joseph Gibson, Shaun J. Grannis
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. 17 (1) (2017)
Suranga Nath Kasthurirathne, Paul G. Biondich, Burke W. Mamlin, Theresa A. Cullen, Shaun J. Grannis
An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings. MedInfo (2017)
Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan
Modeling heart procedures from EHRs: An application of exponential families. BIBM (2017)
Sarah F. Poole, Shaun J. Grannis, Nigam Shah
Predicting Emergency Department Visits. CRI (2016)
Shenhui Jiang, Shiaofen Fang, Sam Bloomquist, Jeremy Keiper, Mathew J. Palakal, Yuni Xia, Shaun J. Grannis
Healthcare Data Visualization: Geospatial and Temporal Integration. VISIGRAPP (2: IVAPP) (2016)
Shenghui Jiang, Shiaofen Fang, Shaun J. Grannis
Spiral Theme Plot. EuroVis (Short Papers) (2016)
Samar Binkheder, Brian E. Dixon, Shaun J. Grannis
Transmission of ELR messages To Improve Public Health Reporting. AMIA (2016)
Brian E. Dixon, Jon D. Duke, Shaun J. Grannis
Methods to Measure and Improve the Quality of Large Scale Health Data: An Application in Public Health Surveillance. AMIA (2016)
Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
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 60 (2016)
Brian E. Dixon, Patrick Lai, Uzay Kirbiyik, Zuoyi Zhang, Debra Revere, Rebecca A. Hills, P. Joseph Gibson, Jennifer L. Williams, Shaun J. Grannis
Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities. AMIA (2015)
Brian E. Dixon, Marty LaVenture, Bill Brand, Arthur J. Davidson, Shaun J. Grannis
The Informatics Workforce for Population Health: Challenges, Initiatives and the Path Forward. AMIA (2015)
Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne
Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. AMIA (2015)
Brian E. Dixon, P. Joseph Gibson, Shaun J. Grannis
Improving Vaccine-Preventable Disease Reporting through Health Information Exchange. AMIA (2015)
Suranga Nath Kasthurirathne, Brian E. Dixon, Shaun J. Grannis
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches. MedInfo (2015)
Thomas S. Mwogi, Paul G. Biondich, Shaun J. Grannis
An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions. AMIA (2014)
Brian E. Dixon, Daniel J. Vreeman, Shaun J. Grannis
The long road to semantic interoperability in support of public health: Experiences from two states. J. Biomed. Informatics 49 (2014)
Jeremy Keiper, Shiaofen Fang, Mathew Palakal, Yuni Xia, Sam Bloomquist, Shaun J. Grannis, Weizhi Li, Thanh M. Nguyen, Anand Krishnan
Demonstrating A Public Health Terrain Data Visualization System. AMIA (2014)
Debra Revere, Jennifer L. Williams, Rebecca A. Hills, Shaun J. Grannis, Brian E. Dixon
Using participatory design to optimize capture of information needed for public health reporting processes. AMIA (2014)
Jian Zou, Alan F. Karr, Gauri Datta, James Lynch, Shaun J. Grannis
A Bayesian spatio-temporal approach for real-time detection of disease outbreaks: a case study. BMC Medical Informatics Decis. Mak. 14 (2014)
Jianmin Wu, Huiping Xu, John T. Finnell, Shaun J. Grannis
A Practical Method for Predicting Frequent Use of Emergency Department Care Using Routinely Available Electronic Registration Data. AMIA (2013)
Brian E. Dixon, Shaun J. Grannis, Debra Revere
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. 13 (2013)
Brian E. Dixon, Marc B. Rosenman, Yuni Xia, Shaun J. Grannis
A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data. MedInfo (2013)
Brian E. Dixon, Roland E. Gamache, Shaun J. Grannis
Towards public health decision support: a systematic review of bidirectional communication approaches. J. Am. Medical Informatics Assoc. 20 (3) (2013)
Brian E. Dixon, Shaun J. Grannis, Mark Tucker, Debbie Hemler
The Regenstrief Notifiable Condition Detector - Automated Public Health Reporting using Routine Electronic Laboratory Data. AMIA (2013)
Joanne K. Daggy, Huiping Xu, Siu L. Hui, Roland E. Gamache, Shaun J. Grannis
A practical approach for incorporating dependence among fields in probabilistic record linkage. BMC Medical Informatics Decis. Mak. 13 (2013)
Brian E. Dixon, Marc B. Rosenman, Shaun J. Grannis
Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases. AMIA (2013)
Brian E. Dixon, Patrick Lai, Shaun J. Grannis
Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics. AMIA (2013)
Shaun J. Grannis, Brian E. Dixon, Siaw-Teng Liaw, Michael G. Kahn, Hamish Fraser
How Fit is Electronic Health Data for its Intended Uses? Exploring Data Quality across Clinical, Public Health, and Research Use Cases. AMIA (2013)
Judy Gichoya, Brian E. Dixon, John T. Finnell, Daniel J. Vreeman, Roland E. Gamache, Shaun J. Grannis
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 (2012)
Vivienne J. Zhu, Shaun J. Grannis, Wanzhu Tu, Marc B. Rosenman, Stephen M. Downs
Evaluation of a clinical decision support algorithm for patient-specific childhood immunization. Artif. Intell. Medicine 56 (1) (2012)
Roland E. Gamache, Shaun J. Grannis, Brian Edward Dixon, Daniel J. Vreeman
Impact of Selective Mapping Strategies on Automated Laboratory Result Notification to Public Health Authorities. AMIA (2012)
Blaine Y. Takesue, J. Marc Overhage, Shaun J. Grannis, Jane Wang, Siu L. Hui, Marc B. Rosenman
Patient Crossover between Healthcare Systems in Indiana. AMIA (2012)
Julie J. McGowan, Gilad J. Kuperman, Shaun J. Grannis, P. Jon White, Kathy Kenyon
Unintended Consequences of Health Information Exchange: Identifying the Issues and Mitigating the Impact. AMIA (2012)
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. IEEE Trans. Vis. Comput. Graph. 16 (2) (2010)
Jon D. Duke, Xiaochun Li, Shaun J. Grannis
Data visualization speeds review of potential adverse drug events in patients on multiple medications. J. Biomed. Informatics 43 (2) (2010)
Vivienne J. Zhu, Shaun J. Grannis, Marc B. Rosenman, Stephen M. Downs
Implementing Broad Scale Childhood Immunization Decision Support as a Web Service. AMIA (2009)
David Shepherd, Jeff Friedlin, Shaun J. Grannis, Siu L. Hui, Abel N. Kho
Identification with Current Infection Control Practice. AMIA (2009)
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert
Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. IEEE Computer Graphics and Applications 29 (3) (2009)
Ryan P. Hafen, David E. Anderson, William S. Cleveland, Ross Maciejewski, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, Shaun J. Grannis
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts. BMC Medical Informatics Decis. Mak. 9 (2009)
Vivienne J. Zhu, J. Marc Overhage, James Egg, Stephen M. Downs, Shaun J. Grannis
Research Paper: An Empiric Modification to the Probabilistic Record Linkage Algorithm Using Frequency-Based Weight Scaling. J. Am. Medical Informatics Assoc. 16 (5) (2009)
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert
Understanding syndromic hotspots - a visual analytics approach. IEEE VAST (2008)
Jeff Friedlin, Shaun J. Grannis, J. Marc Overhage
Using Natural Language Processing to Improve Accuracy of Automated Notifiable Disease Reporting. AMIA (2008)
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
LAHVA: Linked Animal-Human Health Visual Analytics. IEEE VAST (2007)
Christopher A. Cassa, Shaun J. Grannis, J. Marc Overhage, Kenneth D. Mandl
Application of Information Technology: A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection. J. Am. Medical Informatics Assoc. 13 (2) (2006)
Shaun J. Grannis, Michael Wade, P. Joseph Gibson, J. Marc Overhage
The Indiana Public Health Emergency Surveillance System: Ongoing Progress, Early Findings, and Future Directions. AMIA (2006)
Shaun J. Grannis, Paul G. Biondich, Burke W. Mamlin, M. D. Greg Wilson, Linda Jones, J. Marc Overhage
How Disease Surveillance Systems Can Serve as Practical Building Blocks for a Health Information Infrastructure: the Indiana Experience. AMIA (2005)
Shaun J. Grannis, James Egg, J. Marc Overhage
Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool. AMIA (2005)
Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald
Real World Performance of Approximate String Comparators for use in Patient Matching. MedInfo (2004)
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
Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. J. Am. Medical Informatics Assoc. 11 (2) (2004)
William R. Hogan, Fu-Chiang Tsui, Oleg Ivanov, Per H. Gesteland, Shaun J. Grannis, J. Marc Overhage, J. Michael Robinson, Michael M. Wagner
Research Paper: Detection of Pediatric Respiratory and Diarrheal Outbreaks from Sales of Over-the-counter Electrolyte Products. J. Am. Medical Informatics Assoc. 10 (6) (2003)
Shaun J. Grannis, J. Marc Overhage, Siu L. Hui, Clement J. McDonald
Analysis of a Probabilistic Record Linkage Technique without Human Review. AMIA (2003)
Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald
Analysis of identifier performance using a deterministic linkage algorithm. AMIA (2002)