Shaun J. Grannis

发表

The Indiana Public Health Emergency Surveillance System: Ongoing Progress, Early Findings, and Future Directions

J. Marc Overhage, Shaun J. Grannis, Michael Wade, 2006, AMIA.

Modeling heart procedures from EHRs: An application of exponential families

Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Healthcare Data Visualization: Geospatial and Temporal Integration

Shaun J. Grannis, Shiaofen Fang, Yuni Xia, 2016, VISIGRAPP.

Using participatory design to optimize capture of information needed for public health reporting processes

Shaun J. Grannis, Brian E. Dixon, Debra Revere, 2014, AMIA.

Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches

Shaun J. Grannis, Brian E. Dixon, Suranga Nath Kasthurirathne, 2015, MedInfo.

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, Michael G. Kahn, 2013, AMIA.

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

Shaun J. Grannis, Peter J. Embi, Darshan Shah, 2019, AMIA.

A Visual Analytics Approach to Understanding

David S. Ebert, Shaun J. Grannis, Ross Maciejewski, 2010 .

Health-Terrain: Visualizing Large Scale Health Data

Shaun J. Grannis, Shiaofen Fang, Yuni Xia, 2014 .

Improving Vaccine-Preventable Disease Reporting through Health Information Exchange

Shaun J. Grannis, P. Joseph Gibson, Brian E. Dixon, 2015, AMIA.

A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data

Shaun J. Grannis, Yuni Xia, Brian E. Dixon, 2013, MedInfo.

Unintended Consequences of Health Information Exchange: Identifying the Issues and Mitigating the Impact

Shaun J. Grannis, Gilad J. Kuperman, Julie J. McGowan, 2012, AMIA.

Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department

Shaun J. Grannis, P. Joseph Gibson, Brian E. Dixon, 2017, BMC Medical Informatics and Decision Making.

An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System

Daniel J. Vreeman, Shaun J. Grannis, Brian E. Dixon, 2012, AMIA.

Advanced Visualization and Analysis of Data Quality for Syndromic Surveillance Systems

Shaun J. Grannis, Chen Wen, Brian E. Dixon, 2018, Online Journal of Public Health Informatics.

How Disease Surveillance Systems Can Serve as Practical Building Blocks for a Health Information Infrastructure: the Indiana Experience

J. Marc Overhage, Shaun J. Grannis, Paul G. Biondich, 2005, AMIA.

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

Shaun J. Grannis, Yuni Xia, Brian E. Dixon, 2016, J. Biomed. Informatics.

Generalization of Machine Learning Approaches to Identify Notifiable Diseases Reported from a Statewide Health Information Exchange

Shaun J. Grannis, Brian E. Dixon, Suranga Nath Kasthurirathne, 2019 .

Implementing Broad Scale Childhood Immunization Decision Support as a Web Service

Vivienne J. Zhu, Shaun J. Grannis, Stephen M. Downs, 2009, AMIA.

An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings

Shaun J. Grannis, Paul G. Biondich, Suranga Nath Kasthurirathne, 2017, MedInfo.

The long road to semantic interoperability in support of public health: Experiences from two states

Daniel J. Vreeman, Shaun J. Grannis, Brian E. Dixon, 2014, J. Biomed. Informatics.

A practical method for predicting frequent use of emergency department care using routinely available electronic registration data

Shaun J. Grannis, Jianmin Wu, Huiping Xu, 2016, BMC Emergency Medicine.

An Overview of Emerging Real-World OpenHIE Use Cases: Successes, Challenges, and Future Opportunities

Shaun J. Grannis, Jack Bowie, Eric-Jan Manders, 2017, AMIA.

Research Paper: Detection of Pediatric Respiratory and Diarrheal Outbreaks from Sales of Over-the-counter Electrolyte Products

J. Marc Overhage, Shaun J. Grannis, Michael M. Wagner, 2003, J. Am. Medical Informatics Assoc..

The Last Mile: Using Fax Machines to Exchange Data between Clinicians and Public Health

Shaun J. Grannis, Vibha Anand, Stephen M. Downs, 2011, Online journal of public health informatics.

Methods to Measure and Improve the Quality of Large Scale Health Data: An Application in Public Health Surveillance

Shaun J. Grannis, Jon D. Duke, Brian E. Dixon, 2016, AMIA.

The Linchpin of Interoperability: Challenges and Solutions to Patient Record Matching

Shaun J. Grannis, Ben Moscovitch, Jeffery Smith, 2018, AMIA.

The Regenstrief Notifiable Condition Detector - Automated Public Health Reporting using Routine Electronic Laboratory Data

Shaun J. Grannis, Brian E. Dixon, Mark Tucker, 2013, AMIA.

Discussion paper: privacy-preserving distributed queries for a clinical case research network

Shaun J. Grannis, Clement J. McDonald, Gunther Schadow, 2002 .

Evaluating Two Approaches for Parameterizing the Fellegi-Sunter Patient Matching Algorithm to Optimize Accuracy

Shaun J. Grannis, Suranga Nath Kasthurirathne, Na Bo, 2019 .

Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data

Shaun J. Grannis, Jiachen Wang, Brian E. Dixon, 2017, AMIA.

Real World Performance of Approximate String Comparators for use in Patient Matching

J. Marc Overhage, Shaun J. Grannis, Clement J. McDonald, 2004, MedInfo.

Evaluating the effect of data standardization and validation on patient matching accuracy

Shaun J. Grannis, Joshua R. Vest, Suranga Nath Kasthurirathne, 2019, J. Am. Medical Informatics Assoc..

A Bayesian spatio‐temporal approach for real‐time detection of disease outbreaks: a case study

Shaun J. Grannis, Alan F. Karr, Jian Zou, 2014, BMC Medical Informatics and Decision Making.

Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data

Shaun J. Grannis, Yuni Xia, Brian E. Dixon, 2017, J. Biomed. Informatics.

Application of Information Technology: A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection

J. Marc Overhage, Shaun J. Grannis, Kenneth D. Mandl, 2006, J. Am. Medical Informatics Assoc..

Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques

Ryan Hafen, David S. Ebert, Shaun J. Grannis, 2009, IEEE Computer Graphics and Applications.

Transmission of ELR messages To Improve Public Health Reporting

Shaun J. Grannis, Samar Binkheder, Brian E. Dixon, 2016, AMIA.

Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics

Shaun J. Grannis, Brian E. Dixon, Patrick Lai, 2013, AMIA.

Using Natural Language Processing to Improve Accuracy of Automated Notifiable Disease Reporting

J. Marc Overhage, Shaun J. Grannis, F. Jeffrey Friedlin, 2008, AMIA.

Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts

Ryan Hafen, David S. Ebert, Shaun J. Grannis, 2009, BMC Medical Informatics Decis. Mak..

Patient Crossover between Healthcare Systems in Indiana

J. Marc Overhage, Shaun J. Grannis, Jane Wang, 2012, AMIA.

Spiral Theme Plot

Shaun J. Grannis, Shiaofen Fang, Shenghui Jiang, 2016, EuroVis.

Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics

Shaun J. Grannis, Suranga Nath Kasthurirathne, Gregory P. Dexter, 2019, AMIA.

Improving Population Health Reporting through Information Exchange Supported Decision Support: A Controlled Before-and-After Trial

Shaun J. Grannis, P. Joseph Gibson, Brian E. Dixon, 2018, AMIA.

Reviewing and Managing Syndromic Surveillance SaTScan™ Datasets using an Open-Source Data Visualization Tool

J. Marc Overhage, Shaun J. Grannis, James Egg, 2005, AMIA.

Data visualization speeds review of potential adverse drug events in patients on multiple medications

Shaun J. Grannis, Jon D. Duke, Xiaochun Li, 2010, J. Biomed. Informatics.

Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS

Shaun J. Grannis, P. Joseph Gibson, Timothy D. McFarlane, 2019, AMIA.

Analysis of identifier performance using a deterministic linkage algorithm

J. Marc Overhage, Shaun J. Grannis, Clement J. McDonald, 2002, AMIA.

Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods

Shaun J. Grannis, Brian E. Dixon, Suranga Nath Kasthurirathne, 2015, AMIA.

LAHVA: Linked Animal-Human Health Visual Analytics

David S. Ebert, Shaun J. Grannis, Ross Maciejewski, 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.

The Informatics Workforce for Population Health: Challenges, Initiatives and the Path Forward

Shaun J. Grannis, Brian E. Dixon, Arthur J. Davidson, 2015, AMIA.

Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol

Shaun J. Grannis, Brian E. Dixon, Debra Revere, 2013, BMC Medical Informatics and Decision Making.

Impact of Selective Mapping Strategies on Automated Laboratory Result Notification to Public Health Authorities

Daniel J. Vreeman, Shaun J. Grannis, Brian E. Dixon, 2012, AMIA.

A Comparison of Automated Methicillin-Resistant Staphylococcus aureus Identification with Current Infection Control Practice

Shaun J. Grannis, Abel N. Kho, F. Jeffrey Friedlin, 2009, AMIA.

Analysis of a Probabilistic Record Linkage Technique without Human Review

J. Marc Overhage, Shaun J. Grannis, Clement J. McDonald, 2003, AMIA.

Have you heard the one about the doctor who went into the exam room took care of the patient and walked out?

Raj M. Ratwani, J. Marc Overhage, Shaun J. Grannis, 2018, AMIA.

A practical approach for incorporating dependence among fields in probabilistic record linkage

Shaun J. Grannis, Huiping Xu, Joanne K. Daggy, 2013, BMC Medical Informatics and Decision Making.

Demonstrating A Public Health Terrain Data Visualization System

Shaun J. Grannis, Shiaofen Fang, Yuni Xia, 2014, AMIA.

Comparison of Supervised Machine Learning and Probabilistic Approaches for Record Linkage

Shaun J. Grannis, Suranga Nath Kasthurirathne, Huiping Xu, 2020 .

Using EHR and HIE data to identify patients' need for services that address the social determinants of health

Shaun J. Grannis, Joshua R. Vest, Nir Menachemi, 2017, American Medical Informatics Association Annual Symposium.

Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services

Shaun J. Grannis, Joshua R. Vest, Suranga Nath Kasthurirathne, 2018, J. Am. Medical Informatics Assoc..

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures

Shaun J. Grannis, Shuo Yang, Sriraam Natarajan, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Research Paper: An Empiric Modification to the Probabilistic Record Linkage Algorithm Using Frequency-Based Weight Scaling

Vivienne J. Zhu, J. Marc Overhage, Shaun J. Grannis, 2009, J. Am. Medical Informatics Assoc..

The Evolving Health Information Infrastructure

Shaun J. Grannis, Paul G. Biondich, Brian E. Dixon, 2016 .

An Evaluation of Two Methods for Generating Synthetic HL7 Segments Reflecting Real-World Health Information Exchange Transactions

Shaun J. Grannis, Paul G. Biondich, Thomas S. Mwogi, 2014, AMIA.

A Visual Analytics Approach to Understanding Spatiotemporal Hotspots

Ryan Hafen, David S. Ebert, Shaun J. Grannis, 2010, IEEE Transactions on Visualization and Computer Graphics.

Predicting Emergency Department Visits

Shaun J. Grannis, Nigam H. Shah, Sarah F. Poole, 2016, CRI.

Towards public health decision support: a systematic review of bidirectional communication approaches

Shaun J. Grannis, Brian E. Dixon, Roland E. Gamache, 2013, J. Am. Medical Informatics Assoc..

Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities

Shaun J. Grannis, P. Joseph Gibson, Brian E. Dixon, 2015, AMIA.

Navigating the Exposome: Real-World Experiences Connecting Environment, Community, and Behavior to Health

Shaun J. Grannis, Brian E. Dixon, Chirag Patel, 2018, AMIA.

Using structured and unstructured data to identify patients' need for services that address the social determinants of health

Shaun J. Grannis, Joshua R. Vest, Nir Menachemi, 2017, Int. J. Medical Informatics.

Understanding syndromic hotspots - a visual analytics approach

Ryan Hafen, David S. Ebert, Shaun J. Grannis, 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance

Roman Garnett, Ricardo H. C. Takahashi, Rumi Chunara, 2011, Emerging health threats journal.

Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience

William B. Lober, J. Marc Overhage, Shaun J. Grannis, 2003, J. Am. Medical Informatics Assoc..

Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases

Shaun J. Grannis, Brian E. Dixon, Marc B. Rosenman, 2013, AMIA.

Examining the Heartland Region Pilot: First Look at the Patient-Centered Data HomeTM Framework

Shaun J. Grannis, Karmen S. Williams, 2018, AMIA.

Client Registries: Identifying and Linking Patients

Shaun J. Grannis, Timothy D. McFarlane, Brian E. Dixon, 2016 .

Leveraging Health Information Exchange to Support Public Health Situational Awareness: The Indiana Experience

Shaun J. Grannis, Kevin C. Stevens, S. Grannis, 2010, Online journal of public health informatics.

Implementing Syndromic Surveillance

William B. Lober, J. Marc Overhage, Shaun J. Grannis, 2004 .

The Building Blocks of Inter-operability

Shyam Visweswaran, Shaun J. Grannis, Douglas S. Bell, 2017, Applied Clinical Informatics.

Estimating Increased Electronic Laboratory Reporting Volumes for Meaningful Use:  Implications for the Public Health Workforce

Shaun J. Grannis, P. Joseph Gibson, Brian E. Dixon, 2014, Online journal of public health informatics.

Leveraging Health Information Exchange to Improve Population Health Reporting Processes: Lessons in Using a Collaborative-Participatory Design Process

Shaun J. Grannis, Brian E. Dixon, Debra Revere, 2014, EGEMS.

Why “What Data Are Necessary for This Project?” and Other Basic Questions are Important to Address in Public Health Informatics Practice and Research

Shaun J. Grannis, Brian E. Dixon, S. Grannis, 2011, Online journal of public health informatics.

Impact of Risk Stratification on Referrals and Uptake of Wraparound Services That Address Social Determinants: A Stepped Wedged Trial.

Shaun J. Grannis, Ying Zhang, Joshua R. Vest, 2019, American journal of preventive medicine.

Chapter 5 – Regenstrief Medical Informatics: Experiences with Clinical Decision Support Systems

Shaun J. Grannis, Paul G. Biondich, Jon D. Duke, 2014 .