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2020 – today
- 2024
[c55]Brian E. Dixon
, Jill Inderstrodt, Daniel P. Riggins, John P. Price, Titus K. L. Schlyer, Shaun J. Grannis:
Linking Maternal and Child Health Data to Enhance Public Health Surveillance and Implement Sustainable Interventions. MIE 2024: 1889-1890- 2023
- [j29]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): 447-455 (2023) - 2022
- [j28]Karmen S. Williams, Shaun J. Grannis:
Patient-Centered Data Home: A Path Towards National Interoperability. Frontiers Digit. Health 4 (2022) - [j27]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): 1409-1415 (2022) - [j26]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): 2105-2109 (2022) - 2021
- [j25]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): 1363-1373 (2021) - [c54]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 - [c53]Abel N. Kho, Shaun J. Grannis, Adam Culbertson, Molly Murray, Yu Deng:
Evolving Challenges in Patient Matching. AMIA 2021 - 2020
- [j24]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): 1641-1647 (2020) - [j23]Ben Moscovitch, John D. Halamka, Shaun J. Grannis:
Better patient identification could help fight the coronavirus. npj Digit. Medicine 3 (2020) - [c52]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 - [c51]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: 1-3
2010 – 2019
- 2019
- [j22]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): 447-456 (2019) - [c50]Gregory-Paul 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 - [c49]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 - [c48]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 - [c47]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: 1510-1511 - [c46]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: 79-87 - 2018
- [j21]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): 47-53 (2018) - [j20]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): 1108 (2018) - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]Karmen S. Williams, Shaun J. Grannis:
Examining the Heartland Region Pilot: First Look at the Patient-Centered Data HomeTM Framework. AMIA 2018 - 2017
- [j19]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. 08(02): 322-336 (2017) - [j18]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: 101-106 (2017) - [j17]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: 160-176 (2017) - [j16]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): 87:1-87:8 (2017) - [c40]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 - [c39]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 - [c38]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 - [c37]Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan:
Modeling heart procedures from EHRs: An application of exponential families. BIBM 2017: 491-497 - [c36]Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan:
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. BIBM 2017: 870-873 - [c35]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: 442-446 - 2016
- [j15]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: 145-152 (2016) - [c34]Samar Binkheder, Brian E. Dixon, Shaun J. Grannis:
Transmission of ELR messages To Improve Public Health Reporting. AMIA 2016 - [c33]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 - [c32]Sarah F. Poole, Shaun J. Grannis, Nigam Shah:
Predicting Emergency Department Visits. CRI 2016 - [c31]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: 214-221 - [c30]Shenghui Jiang, Shiaofen Fang, Shaun J. Grannis:
Spiral Theme Plot. EuroVis (Short Papers) 2016: 109-112 - 2015
- [c29]Brian E. Dixon, P. Joseph Gibson, Shaun J. Grannis:
Improving Vaccine-Preventable Disease Reporting through Health Information Exchange. AMIA 2015 - [c28]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 - [c27]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 - [c26]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 - [c25]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: 1070 - 2014
- [j14]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: 3-8 (2014) - [j13]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: 108 (2014) - [c24]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 - [c23]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 - [c22]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 - 2013
- [j12]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): 577-583 (2013) - [j11]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: 97 (2013) - [j10]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: 121 (2013) - [c21]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 - [c20]Brian E. Dixon, Patrick Lai, Shaun J. Grannis:
Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics. AMIA 2013 - [c19]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 - [c18]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 - [c17]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 - [c16]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: 884-888 - 2012
- [j9]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): 51-57 (2012) - [c15]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 - [c14]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 - [c13]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 - [c12]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 - 2010
- [j8]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): 326-331 (2010) - [j7]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): 205-220 (2010)
2000 – 2009
- 2009
- [j6]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): 18-28 (2009) - [j5]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): 738-745 (2009) - [j4]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: 21 (2009) - [c11]David Shepherd, Jeff Friedlin, Shaun J. Grannis, Siu L. Hui, Abel N. Kho:
A Comparison of Automated Methicillin-Resistant Staphylococcus aureus Identification with Current Infection Control Practice. AMIA 2009 - [c10]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 - 2008
- [c9]Jeff Friedlin, Shaun J. Grannis, J. Marc Overhage:
Using Natural Language Processing to Improve Accuracy of Automated Notifiable Disease Reporting. AMIA 2008 - [c8]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: 35-42 - 2007
- [c7]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: 27-34 - 2006
- [j3]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): 160-165 (2006) - [c6]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 - 2005
- [c5]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 - [c4]Shaun J. Grannis, James Egg, J. Marc Overhage:
Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool. AMIA 2005 - 2004
- [j2]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): 141-150 (2004) - [c3]Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald:
Real World Performance of Approximate String Comparators for use in Patient Matching. MedInfo 2004: 43-47 - 2003
- [j1]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): 555-562 (2003) - [c2]Shaun J. Grannis, J. Marc Overhage, Siu L. Hui, Clement J. McDonald:
Analysis of a Probabilistic Record Linkage Technique without Human Review. AMIA 2003 - 2002
- [c1]Shaun J. Grannis, J. Marc Overhage, Clement J. McDonald:
Analysis of identifier performance using a deterministic linkage algorithm. AMIA 2002
Coauthor Index
Brian E. Dixon
aka: Brian Edward Dixon
aka: Brian Edward Dixon
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