Analysis of identifier performance using a deterministic linkage algorithm. - Shaun J. Grannis; J. Marc Overhage; Clement J. McDonald (AMIA, 2002)

Analysis of a Probabilistic Record Linkage Technique without Human Review. - Shaun J. Grannis; J. Marc Overhage; Siu L. Hui; Clement J. McDonald (AMIA, 2003)

Research Paper: Detection of Pediatric Respiratory and Diarrheal Outbreaks from Sales of Over-the-counter Electrolyte Products. - William R. Hogan; Fu-Chiang Tsui; Oleg Ivanov; Per H. Gesteland; Shaun J. Grannis; J. Marc Overhage; J. Michael Robinson; Michael M. Wagner 001 (J. Am. Medical Informatics Assoc., 2003)

Real World Performance of Approximate String Comparators for use in Patient Matching. - Shaun J. Grannis; J. Marc Overhage; Clement J. McDonald (MedInfo, 2004)

Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. - Kenneth D. Mandl; J. Marc Overhage; Michael M. Wagner 001; William B. Lober; Paola Sebastiani; Farzad Mostashari; Julie A. Pavlin; Per H. Gesteland; Tracee Treadwell; Eileen Koski; Lori Hutwagner; David L. Buckeridge; et al. (J. Am. Medical Informatics Assoc., 2004)

How Disease Surveillance Systems Can Serve as Practical Building Blocks for a Health Information Infrastructure: the Indiana Experience. - Shaun J. Grannis; Paul G. Biondich; Burke W. Mamlin; M. D. Greg Wilson; Linda Jones; J. Marc Overhage (AMIA, 2005)

Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool. - Shaun J. Grannis; James Egg; J. Marc Overhage (AMIA, 2005)

The Indiana Public Health Emergency Surveillance System: Ongoing Progress, Early Findings, and Future Directions. - Shaun J. Grannis; Michael Wade; P. Joseph Gibson; J. Marc Overhage (AMIA, 2006)

Application of Information Technology: A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection. - Christopher A. Cassa; Shaun J. Grannis; J. Marc Overhage; Kenneth D. Mandl (J. Am. Medical Informatics Assoc., 2006)

LAHVA: Linked Animal-Human Health Visual Analytics. - 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 (IEEE VAST, 2007)

Using Natural Language Processing to Improve Accuracy of Automated Notifiable Disease Reporting. - Jeff Friedlin; Shaun J. Grannis; J. Marc Overhage (AMIA, 2008)

Understanding syndromic hotspots - a visual analytics approach. - Ross Maciejewski; Stephen Rudolph; Ryan Hafen; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; William S. Cleveland; Shaun J. Grannis; Michael Wade; David S. Ebert (IEEE VAST, 2008)

A Comparison of Automated Methicillin-Resistant Staphylococcus aureus Identification with Current Infection Control Practice. - David Shepherd; Jeff Friedlin; Shaun J. Grannis; Siu L. Hui; Abel N. Kho (AMIA, 2009)

Implementing Broad Scale Childhood Immunization Decision Support as a Web Service. - Vivienne J. Zhu; Shaun J. Grannis; Marc B. Rosenman; Stephen M. Downs (AMIA, 2009)

Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. - Ross Maciejewski; Ryan Hafen; Stephen Rudolph; George Tebbetts; William S. Cleveland; Shaun J. Grannis; David S. Ebert (IEEE Computer Graphics and Applications, 2009)

Research Paper: An Empiric Modification to the Probabilistic Record Linkage Algorithm Using Frequency-Based Weight Scaling. - Vivienne J. Zhu; J. Marc Overhage; James Egg; Stephen M. Downs; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2009)

Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts. - Ryan P. Hafen; David E. Anderson; William S. Cleveland; Ross Maciejewski; David S. Ebert; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2009)

Data visualization speeds review of potential adverse drug events in patients on multiple medications. - Jon D. Duke; Xiaochun Li; Shaun J. Grannis (J. Biomed. Informatics, 2010)

A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. - Ross Maciejewski; Stephen Rudolph; Ryan Hafen; Ahmad M. Abusalah; Mohamed Yakout; Mourad Ouzzani; William S. Cleveland; Shaun J. Grannis; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2010)

Impact of Selective Mapping Strategies on Automated Laboratory Result Notification to Public Health Authorities. - Roland E. Gamache; Shaun J. Grannis; Brian Edward Dixon; Daniel J. Vreeman (AMIA, 2012)

An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System. - Judy Gichoya; Brian E. Dixon; John T. Finnell; Daniel J. Vreeman; Roland E. Gamache; Shaun J. Grannis (AMIA, 2012)

Unintended Consequences of Health Information Exchange: Identifying the Issues and Mitigating the Impact. - Julie J. McGowan; Gilad J. Kuperman; Shaun J. Grannis; P. Jon White; Kathy Kenyon (AMIA, 2012)

Patient Crossover between Healthcare Systems in Indiana. - Blaine Y. Takesue; J. Marc Overhage; Shaun J. Grannis; Jane Wang; Siu L. Hui; Marc B. Rosenman (AMIA, 2012)

Evaluation of a clinical decision support algorithm for patient-specific childhood immunization. - Vivienne J. Zhu; Shaun J. Grannis; Wanzhu Tu; Marc B. Rosenman; Stephen M. Downs (Artif. Intell. Medicine, 2012)

The Regenstrief Notifiable Condition Detector - Automated Public Health Reporting using Routine Electronic Laboratory Data. - Brian E. Dixon; Shaun J. Grannis; Mark Tucker; Debbie Hemler (AMIA, 2013)

Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics. - Brian E. Dixon; Patrick Lai; Shaun J. Grannis (AMIA, 2013)

Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases. - Brian E. Dixon; Marc B. Rosenman; Shaun J. Grannis (AMIA, 2013)

How Fit is Electronic Health Data for its Intended Uses? Exploring Data Quality across Clinical, Public Health, and Research Use Cases. - Shaun J. Grannis; Brian E. Dixon; Siaw-Teng Liaw; Michael G. Kahn; Hamish Fraser 001 (AMIA, 2013)

A Practical Method for Predicting Frequent Use of Emergency Department Care Using Routinely Available Electronic Registration Data. - Jianmin Wu; Huiping Xu; John T. Finnell; Shaun J. Grannis (AMIA, 2013)

A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data. - Brian E. Dixon; Marc B. Rosenman; Yuni Xia; Shaun J. Grannis (MedInfo, 2013)

Towards public health decision support: a systematic review of bidirectional communication approaches. - Brian E. Dixon; Roland E. Gamache; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2013)

A practical approach for incorporating dependence among fields in probabilistic record linkage. - Joanne K. Daggy; Huiping Xu; Siu L. Hui; Roland E. Gamache; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2013)

Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol. - Brian E. Dixon; Shaun J. Grannis; Debra Revere (BMC Medical Informatics Decis. Mak., 2013)

Demonstrating A Public Health Terrain Data Visualization System. - Jeremy Keiper; Shiaofen Fang; Mathew Palakal; Yuni Xia; Sam Bloomquist; Shaun J. Grannis; Weizhi Li; Thanh M. Nguyen; Anand Krishnan (AMIA, 2014)

An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions. - Thomas S. Mwogi; Paul G. Biondich; Shaun J. Grannis (AMIA, 2014)

Using participatory design to optimize capture of information needed for public health reporting processes. - Debra Revere; Jennifer L. Williams; Rebecca A. Hills; Shaun J. Grannis; Brian E. Dixon (AMIA, 2014)

The long road to semantic interoperability in support of public health: Experiences from two states. - Brian E. Dixon; Daniel J. Vreeman; Shaun J. Grannis (J. Biomed. Informatics, 2014)

A Bayesian spatio-temporal approach for real-time detection of disease outbreaks: a case study. - Jian Zou; Alan F. Karr; Gauri Datta; James Lynch; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2014)

Improving Vaccine-Preventable Disease Reporting through Health Information Exchange. - Brian E. Dixon; P. Joseph Gibson; Shaun J. Grannis (AMIA, 2015)

The Informatics Workforce for Population Health: Challenges, Initiatives and the Path Forward. - Brian E. Dixon; Marty LaVenture; Bill Brand; Arthur J. Davidson; Shaun J. Grannis (AMIA, 2015)

Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities. - Brian E. Dixon; Patrick Lai; Uzay Kirbiyik; Zuoyi Zhang; Debra Revere; Rebecca A. Hills; P. Joseph Gibson; Jennifer L. Williams; Shaun J. Grannis (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)

Transmission of ELR messages To Improve Public Health Reporting. - Samar Binkheder; Brian E. Dixon; Shaun J. Grannis (AMIA, 2016)

Methods to Measure and Improve the Quality of Large Scale Health Data: An Application in Public Health Surveillance. - Brian E. Dixon; Jon D. Duke; Shaun J. Grannis (AMIA, 2016)

Predicting Emergency Department Visits. - Sarah F. Poole; Shaun J. Grannis; Nigam Shah (CRI, 2016)

Healthcare Data Visualization: Geospatial and Temporal Integration. - Shenhui Jiang; Shiaofen Fang; Sam Bloomquist; Jeremy Keiper; Mathew J. Palakal; Yuni Xia; Shaun J. Grannis (VISIGRAPP (2: IVAPP), 2016)

Spiral Theme Plot. - Shenghui Jiang; Shiaofen Fang; Shaun J. Grannis (EuroVis (Short Papers), 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)

An Overview of Emerging Real-World OpenHIE Use Cases: Successes, Challenges, and Future Opportunities. - Shaun J. Grannis; Eric-Jan Manders; Frederick C. Leitner; Annah Ngaruro; Jack Bowie (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)

Using EHR and HIE data to identify patients' need for services that address the social determinants of health. - Joshua R. Vest; Shaun J. Grannis; Jennifer L. Williams; Dawn P. Haut; Nir Menachemi (AMIA, 2017)

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. - Nandini Ramanan; Shuo Yang 004; Shaun J. Grannis; Sriraam Natarajan (BIBM, 2017)

Modeling heart procedures from EHRs: An application of exponential families. - Shuo Yang 004; Fabian Hadiji; Kristian Kersting; Shaun J. Grannis; Sriraam Natarajan (BIBM, 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)

The Building Blocks of Inter-operability. - 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; et al. (Appl. Clin. Inform., 2017)

Using structured and unstructured data to identify patients' need for services that address the social determinants of health. - Joshua R. Vest; Shaun J. Grannis; Dawn P. Haut; Paul K. Halverson; Nir Menachemi (Int. J. Medical Informatics, 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)

Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department. - Brian E. Dixon; Zuoyi Zhang; Patrick Lai; Uzay Kirbiyik; Jennifer L. Williams; Rebecca A. Hills; Debra Revere; P. Joseph Gibson; Shaun J. Grannis (BMC Medical Informatics Decis. Mak., 2017)

Improving Population Health Reporting through Information Exchange Supported Decision Support: A Controlled Before-and-After Trial. - Brian E. Dixon; Zuoyi Zhang; P. Joseph Gibson; Debra Revere; Shaun J. Grannis (AMIA, 2018)

Navigating the Exposome: Real-World Experiences Connecting Environment, Community, and Behavior to Health. - Shaun J. Grannis; Joshua R. Vest; Chirag Patel; Elle Holbrook; Brian E. Dixon (AMIA, 2018)

Have you heard the one about the doctor who went into the exam room took care of the patient and walked out? - J. Marc Overhage; Titus K. Schleyer; Shaun J. Grannis; Allan Fong; Raj M. Ratwani (AMIA, 2018)

The Linchpin of Interoperability: Challenges and Solutions to Patient Record Matching. - Robert S. Rudin; Shaun J. Grannis; Micky Tripathi; Jeffery Smith; Ben Moscovitch (AMIA, 2018)

Examining the Heartland Region Pilot: First Look at the Patient-Centered Data HomeTM Framework. - Karmen S. Williams; Shaun J. Grannis (AMIA, 2018)

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)

Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS. - Brian E. Dixon; Timothy D. McFarlane; Shaun J. Grannis; P. Joseph Gibson (AMIA, 2019)

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. - Daniel Hood; Shaun J. Grannis; Peter J. Embí; Josh Martin; Darshan Shah; John Roach; Katie Allen (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)

Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program. - 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 (PKDD/ECML Workshops (2), 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)

Daily Visualization of Statewide COVID-19 Healthcare Data. - Brian E. Dixon; Shaun J. Grannis; Umberto Tachinardi; Jennifer L. Williams; Connor McAndrews; Peter J. Embí (VAHC, 2020)

Underrepresented racial minorities in biomedical informatics doctoral programs: graduation trends and academic placement (2002-2017). - Kevin K. Wiley; Brian E. Dixon; Shaun J. Grannis; Nir Menachemi (J. Am. Medical Informatics Assoc., 2020)

Better patient identification could help fight the coronavirus. - Ben Moscovitch; John D. Halamka; Shaun J. Grannis (npj Digit. Medicine, 2020)

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)

Evolving Challenges in Patient Matching. - Abel N. Kho; Shaun J. Grannis; Adam Culbertson; Molly Murray; Yu Deng (AMIA, 2021)

Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics. - Brian E. Dixon; Shaun J. Grannis; Connor McAndrews; Andrea A. Broyles; Waldo Mikels-Carrasco; Ashley Wiensch; Jennifer L. Williams; Umberto Tachinardi; Peter J. Embí (J. Am. Medical Informatics Assoc., 2021)

Patient-Centered Data Home: A Path Towards National Interoperability. - Karmen S. Williams; Shaun J. Grannis (Frontiers Digit. Health, 2022)

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)

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. - Keith Marsolo; Daniel Kiernan; Sengwee Toh; Jasmin Phua; Darcy Louzao; Kevin Haynes; Mark G. Weiner; Francisco Angulo; Charles Bailey 001; Jiang Bian 001; Daniel Fort; Shaun J. Grannis; et al. (J. Am. Medical Informatics Assoc., 2023)

Linking Maternal and Child Health Data to Enhance Public Health Surveillance and Implement Sustainable Interventions. - Brian E. Dixon; Jill Inderstrodt; Daniel P. Riggins; John P. Price; Titus Schleyer; Shaun J. Grannis (MIE, 2024)

Linkability measures to assess the data characteristics for record linkage. - Toan C. Ong; Andrew Hill; Michael G. Kahn; Lauren R. Lembcke; Lisa M. Schilling; Shaun J. Grannis (J. Am. Medical Informatics Assoc., 2024)

Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care. - Karmen S. Williams; Saurabh Rahurkar; Shaun J. Grannis; Titus K. Schleyer; Brian E. Dixon (BMC Medical Informatics Decis. Mak., 2025)