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  • Frontal
  • Podium Abstract

    The National VA Data Commons Pilot: Principles and Early Results

    • Gil Alterovitz ;
    • Justin Koufopoulos ;
    • Hamid Saoudian ;
    • Robert Grossman ;
    • Rachel Ramoni ;
    • Scott DuVall

    The National VA Data Commons Pilot: Principles and Early Results

    A systematic review of studies of concordance with treatment decisions made in practice for a globally implemented oncology clinical decision-support system

    • Yull E. Arriaga ;
    • Rezzan Hekmat ;
    • Karlis Draulis ;
    • Suwei Wang ;
    • Winnie Felix ;
    • Irene Dankwa-Mullan ;
    • Anita Preininger ;
    • Kyu Rhee ;
    • Gretchen P. Jackson

    A systematic review of studies of concordance with treatment decisions made in practice for a globally implemented oncology clinical decision-support system

    Variability in implementation of price transparency: Does it achieve CMS’ goals? An analysis of Dallas area implementations.

    • Simone Arvisais-Anhalt ;
    • Samuel McDonald ;
    • Mujeeb A. Basit

    Variability in implementation of price transparency: Does it achieve CMS’ goals? An analysis of Dallas area implementations.

    Detection of Metastatic Recurrence Timeline from Clinical Notes

    • Imon Banerjee ;
    • Selen Bozkurt ;
    • Jennifer Lee Caswell-Jin ;
    • Allison W. Kurian ;
    • Daniel Rubin

    Detection of Metastatic Recurrence Timeline from Clinical Notes

    Evaluating the Concordance between Patient Reported Data and Electronic Health Record Data: A Scalable Query Interface for Complex Analysis

    • Kimberly Barrett ;
    • Jessica Malenfant ;
    • Lesley Curtis ;
    • Jill George ;
    • Sunil Kripalani ;
    • Heather Limper ;
    • Emily O'Brien ;
    • Tammy Reece ;
    • Jeffrey Brown

    Evaluating the Concordance between Patient Reported Data and Electronic Health Record Data: A Scalable Query Interface for Complex Analysis

    Lessons Learned: Implementing patient-reported outcomes (PROs)in clinical settings

    • Michael Bass ;
    • Nan Rothrock ;
    • Chris Dasilva ;
    • Joshua Spuhl ;
    • Darrel Brodke ;
    • Jimmy Johnson ;
    • Christian Oncken ;
    • Jason Guattery

    Lessons Learned: Implementing patient-reported outcomes (PROs)in clinical settings

    What are we searching for? Patterns and practices in 12 million EHR searches

    • Aashish Bhardwaj ;
    • Halley Ruppel ;
    • Raj N. Manickam ;
    • Marc Flagg ;
    • Brian Hoberman ;
    • Vincent Liu

    What are we searching for? Patterns and practices in 12 million EHR searches

    Applied Veterinary Informatics: Development of a Canine Data Repository to Uncover Disease-Breed Associations

    • Mary Regina Boland ;
    • Margret Casal ;
    • Marc Krauss ;
    • Anna Gelzer

    Applied Veterinary Informatics: Development of a Canine Data Repository to Uncover Disease-Breed Associations

    Towards Automating Computational Phenotyping: Exploring the Trade-offs of Different Vocabulary Mapping Strategies

    • Tiffany J. Callahan ;
    • Jordan Wyrwa ;
    • Katy E. Trinkley ;
    • Lawrence E. Hunter ;
    • Michael G. Kahn ;
    • Tellen D. Bennett

    Towards Automating Computational Phenotyping: Exploring the Trade-offs of Different Vocabulary Mapping Strategies

    Pediatric Obesity Subgroups from Electronic Health Record Data

    • Elizabeth A. Campbell ;
    • Mitchell Maltenfort ;
    • Justine Shults ;
    • Christopher B. Forrest ;
    • Aaron J. Masino

    Pediatric Obesity Subgroups from Electronic Health Record Data

    Modeling the hepatitis A outbreak in the United States

    • Marie Charpignon ;
    • Maria Mironova ;
    • Saeyoung Rho ;
    • Maimuna S. Majumder ;
    • Leo A. Celi

    Modeling the hepatitis A outbreak in the United States

    An artificial-intelligent (AI) and big data approach to prevent statin-associated symptoms and improve adherence

    • Chih-Lin Chi ;
    • Jin Wang ;
    • Tatiana Lenskaia ;
    • Terrence J. Adam ;
    • Matt Loth ;
    • Prajwal M. Pradhan ;
    • Yue Liang ;
    • Wei-Yu Chen ;
    • Peter J. Tonellato ;
    • Jennifer Robinson

    An artificial-intelligent (AI) and big data approach to prevent statin-associated symptoms and improve adherence

    Closing Terminology Gaps to Drive Precision Oncology

    • Jacqueline M. Clark ;
    • Andrew Stewart ;
    • Abel Kho

    Closing Terminology Gaps to Drive Precision Oncology

    Identification of transmission pathways for Vancomycin-resistant enterococcus in a hospital group from network theory.

    • Michael Dahlweid ;
    • Zahnd Stefan ;
    • Matthias Kaempf ;
    • Chris Debatin ;
    • Jonas Marschall

    Identification of transmission pathways for Vancomycin-resistant enterococcus in a hospital group from network theory.

    The Feasibility of Garbled Circuits for Cross-Site Clinical Data Analytics

    • Xiao Dong ;
    • David Randolph ;
    • Xiao Wang

    The Feasibility of Garbled Circuits for Cross-Site Clinical Data Analytics

    Examining the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines: A Thematic Analysis

    • Brian J. Douthit ;
    • Catherine Staes ;
    • Guilherme Del Fiol $lastName ;
    • Rachel Richesson

    Examining the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines: A Thematic Analysis

    Knowledge Extraction of Cohort Characteristics in Research Publications

    • Jay D. S. Franklin ;
    • Shruthi Chari ;
    • Morgan A. Foreman ;
    • Oshani Seneviratne ;
    • Daniel M. Gruen ;
    • James P. McCusker ;
    • Amar K. Das ;
    • Deborah L. McGuinness

    Knowledge Extraction of Cohort Characteristics in Research Publications

    Releasing a preprint is associated with more attention and citations

    • Darwin Y. Fu ;
    • Jacob Hughey

    Releasing a preprint is associated with more attention and citations

    Combination of MRI Sequences Predicts Cellular Density in Glioma

    • Evan D. H. Gates ;
    • Jonathan Lin ;
    • Jeffrey Weinberg ;
    • Jackson Hamilton ;
    • Sujit Prabhu ;
    • John Hazle ;
    • Gregory Fuller ;
    • Veera Baladandayuthapani ;
    • David T. Fuentes ;
    • Dawid Schellingerhout

    Combination of MRI Sequences Predicts Cellular Density in Glioma

    Integrating Electronic Health Records and Human Resource Information Systems to Examine the Impact of Nurses’ Characteristics on Outcomes: An Application to Pediatric Post-Surgical Care

    • Ellen M. Harper ;
    • Dammika L. Walpitage ;
    • Amy L. Garcia ;
    • John Welton ;
    • Russ Waitman ;
    • Jennifer Baird

    Integrating Electronic Health Records and Human Resource Information Systems to Examine the Impact of Nurses’ Characteristics on Outcomes: An Application to Pediatric Post-Surgical Care

    Bidirectional analysis of the relationships between phenotypes and chemicals using public gene annotations

    • Christopher Hawthorne ;
    • Guillermo H. Lopez Campos

    Bidirectional analysis of the relationships between phenotypes and chemicals using public gene annotations

    Estimating the Utility of Using a Predictive Model for Optimizing Advanced Care Planning

    • Sehj Kashyap ;
    • Kenneth Jung ;
    • Stephanie Harman ;
    • Margaret Smith ;
    • Nigam Shah ;
    • Ron C. Li

    Estimating the Utility of Using a Predictive Model for Optimizing Advanced Care Planning

    A Study of Allergen Extraction from Electronic Health Record Narratives

    • Youngjun Kim ;
    • Stephane Meystre

    A Study of Allergen Extraction from Electronic Health Record Narratives

    Understanding Enterprise Data Warehouses to Support Clinical and Translational Research: Initial Findings on Architecture, Processes, and Service Management

    • Boyd M. Knosp ;
    • Catherine Craven ;
    • David Dorr ;
    • Thomas R. Campion

    Understanding Enterprise Data Warehouses to Support Clinical and Translational Research: Initial Findings on Architecture, Processes, and Service Management

    Hierarchical Agglomerative Clustering in Identification of Sub-groups of Heterogeneity among the Youth E-cigarette Users

    • Guodong Liu ;
    • Eric Schaefer ;
    • Linda Engle ;
    • Lan Kong ;
    • Jonathan Foulds

    Hierarchical Agglomerative Clustering in Identification of Sub-groups of Heterogeneity among the Youth E-cigarette Users

    Inference of mutational status, loss of heterozygosity, and clonality in clinical tumor sequencing to inform treatment strategy

    • Jui Wan Loh ;
    • Nahed Jalloul ;
    • Mohammad Hadigol ;
    • Gregory Riedlinger ;
    • Shridar Ganesan ;
    • Hossein Khiabanian

    Inference of mutational status, loss of heterozygosity, and clonality in clinical tumor sequencing to inform treatment strategy

    A Step Toward Structured Representation of Clinical Alerts within an Enterprise Knowledge Management System

    • Sina Madani ;
    • Janos Mathe ;
    • Shari Just ;
    • Andras Nadas ;
    • Asli Weitkamp

    A Step Toward Structured Representation of Clinical Alerts within an Enterprise Knowledge Management System

    Simulating Protein Structure to Support Clinical Decisions: Predicting the Ligand Specific Impact of Genomic Variation on Opioid Binding

    • Matthew D. McCoy ;
    • Whitney Reid ;
    • Vikram Shivakumar ;
    • Subha Madhavan

    Simulating Protein Structure to Support Clinical Decisions: Predicting the Ligand Specific Impact of Genomic Variation on Opioid Binding

    Comparison of Supervised Machine Learning and Probabilistic Approaches for Record Linkage

    • Andrew T. McNutt ;
    • Shaun Grannis ;
    • Na Bo ;
    • Huiping Xu ;
    • Suranga N. Kasthurirathne

    Comparison of Supervised Machine Learning and Probabilistic Approaches for Record Linkage

    Comparing Concept Normalization Accuracy and Speed for Medical Problems and Medication Allergies

    • Stephane Meystre ;
    • Andrew Trice ;
    • Youngjun Kim ;
    • Paul M. Heider

    Comparing Concept Normalization Accuracy and Speed for Medical Problems and Medication Allergies

    Identifying Predictors from Clinical Text for the American Society of Anesthesiologists Physical Status Classification

    • Sungrim Moon ;
    • Andrew Wen ;
    • Paul Kingsbury ;
    • Jake Kugel ;
    • Vinod C. Kaggal ;
    • Joshua Pankratz ;
    • Michael Brown ;
    • Daryl Kor ;
    • Jungwei Fan ;
    • Hongfang Liu

    Identifying Predictors from Clinical Text for the American Society of Anesthesiologists Physical Status Classification

    Leveraging phenotype data to identify potential carriers of deleterious genetic variants

    • Theodore J. Morley ;
    • Lisa Bastarache ;
    • Nancy J. Cox ;
    • Douglas M. Ruderfer

    Leveraging phenotype data to identify potential carriers of deleterious genetic variants

    Distributed Representations of Literature Predications and Spontaneous Reports for Drug Side-effect Prediction

    • Justin Mower ;
    • Trevor Cohen ;
    • Devika Subramanian

    Distributed Representations of Literature Predications and Spontaneous Reports for Drug Side-effect Prediction

    Detecting Intentional Self-Harm Reported in Clinical Text Using a Deep Learning Model

    • Jihad S. Obeid ;
    • Brian E. Bunnell ;
    • Jennifer Dahne ;
    • Tami Crawford ;
    • Lewis J. Frey

    Detecting Intentional Self-Harm Reported in Clinical Text Using a Deep Learning Model

    Linkability Assessment for Demographics Data

    • Toan C. Ong ;
    • Andrew Hill ;
    • Shaun Grannis ;
    • Chan Voong ;
    • Michael G. Kahn

    Linkability Assessment for Demographics Data

    Understanding Chronic Kidney Disease: Augmenting a Code-based Registry from Clinical Records

    • Ellen L. Palmer ;
    • Dana C. Crawford ;
    • John F. O'Toole ;
    • John Sedor ;
    • William Bush

    Understanding Chronic Kidney Disease: Augmenting a Code-based Registry from Clinical Records

    Effective Remote Patient Monitoring (RPM) System in Managing Population Health for Patients with Hypertension

    • Sulki Park ;
    • Mark Lawley ;
    • Hye-Chung Kum

    Effective Remote Patient Monitoring (RPM) System in Managing Population Health for Patients with Hypertension

    Identifying genetic markers associated with Alzheimer’s Disease progression through image phenotyping

    • Danilo Pena ;
    • Assaf Gottlieb ;
    • Luca Giancardo

    Identifying genetic markers associated with Alzheimer’s Disease progression through image phenotyping

    Binding pocket similarity and protein-ligand docking reveal novel NMDA receptor agonists

    • Yash Pershad ;
    • Margaret Guo ;
    • Allison M. Keys ;
    • Stefano E. Rensi ;
    • Russ B. Altman

    Binding pocket similarity and protein-ligand docking reveal novel NMDA receptor agonists

    Impact of a patient-facing tool in the quality of race and ethnicity data

    • Fernanda C. Polubriaginof ;
    • Julie Ewing ;
    • Silis Y. Jiang ;
    • Kelly Fitzgerald ;
    • Dena Goffman ;
    • David Vawdrey

    Impact of a patient-facing tool in the quality of race and ethnicity data

    The Impact of Data Communication Style in Quality Reports on Depression Screening in Primary Care

    • John Schrom ;
    • Arielle Slam ;
    • Tsz Kiu Liu ;
    • Colleen Bouey ;
    • Laura Berk ;
    • Allison Gilmore ;
    • Lenard Lesser ;
    • Raj Behal

    The Impact of Data Communication Style in Quality Reports on Depression Screening in Primary Care

    Translational Knowledge Discovery between Drug Interactions and Pharmacogenetics

    • Aditi Shendre ;
    • Shijun Zhang

    Translational Knowledge Discovery between Drug Interactions and Pharmacogenetics

    Social Program Management Software to Optimize Benefit Application and Management in New York City

    • Jane L. Snowdon ;
    • Van Willis ;
    • Charlyne Lefebvre-Paillé ;
    • David Farrell ;
    • Claire McLoughlin ;
    • Mark Curtin ;
    • William Kassler ;
    • Rebecca Kirchheimer ;
    • Alma Xhemalallari ;
    • Lauren Aaronson

    Social Program Management Software to Optimize Benefit Application and Management in New York City

    Is my SMART on FHIR app ready for prime time? A review guideline for building and evaluating apps from proof of concept to production

    • Andrey Soares ;
    • Lisa M. Schilling

    Is my SMART on FHIR app ready for prime time? A review guideline for building and evaluating apps from proof of concept to production

    Learning to Represent Patient Data With Medical Record Language Models

    • Ethan Steinberg ;
    • Stephen Pfohl ;
    • Kenneth Jung ;
    • Nigam Shah

    Learning to Represent Patient Data With Medical Record Language Models

    Predicting Suicide Attempts from Large, Imbalanced Clinical Data

    • Lina Sulieman ;
    • Colin Walsh

    Predicting Suicide Attempts from Large, Imbalanced Clinical Data

    Dispersion: A Novel Time-Domain Metric Leveraging RR Intervals to Early Detect Ventricular Premature Complexes in Patients with Dominant Sinus Rhythm

    • Ming-tse Tsai ;
    • Minjun Chen ;
    • Kai-Chieh Yang

    Dispersion: A Novel Time-Domain Metric Leveraging RR Intervals to Early Detect Ventricular Premature Complexes in Patients with Dominant Sinus Rhythm

    Mondo Disease Ontology: harmonizing disease concepts across the world

    • Nicole Vasilevsky ;
    • Shahim Essaid ;
    • Nomi Harris ;
    • Julie McMurry ;
    • Melissa A. Haendel ;
    • Peter Robinson ;
    • Christopher J. Mungall

    Mondo Disease Ontology: harmonizing disease concepts across the world

    Patient and Encounter-level Analyses for Predicting Social Worker Referral Need: A Comparison of Alternative Machine Learning Prediction Approaches

    • Joshua R. Vest ;
    • Ofir Ben-Assuli ;
    • Shaun Grannis ;
    • Suranga N. Kasthurirathne

    Patient and Encounter-level Analyses for Predicting Social Worker Referral Need: A Comparison of Alternative Machine Learning Prediction Approaches

    Novel expression-based Phenome-wide association study (exPheWAS) identifies links between lipid-associated genes and multiple disease outcomes in UK Biobank and eMERGE-III

    • Yogasudha Veturi ;
    • Anastasia Lucas ;
    • Scott Dudek ;
    • Anurag Verma ;
    • Thomas Hoffman ;
    • Elizabeth Theusch ;
    • Yuki Bradford ;
    • Hakon Hakonarson ;
    • Iftikhar J. Kullo ;
    • Jason Miller ;
    • Patrick Sleiman ;
    • Daniel Schaid ;
    • QiPing Feng ;
    • Charles Stein ;
    • Wei-Qi Wei ;
    • Digna Edwards ;
    • Marisa Medina ;
    • Ronald Krauss ;
    • Neil Risch ;
    • Marylyn D. Ritchie

    Novel expression-based Phenome-wide association study (exPheWAS) identifies links between lipid-associated genes and multiple disease outcomes in UK Biobank and eMERGE-III

    Using a Rothman Index based Clinical Surveillance System to Reduce Mortality – a Randomized Controlled Trial

    • Katherine Walsh ;
    • Belimat Askary ;
    • Shannan Hamlin ;
    • Michael Rothman ;
    • Joseph Beals

    Using a Rothman Index based Clinical Surveillance System to Reduce Mortality – a Randomized Controlled Trial

    Pilot Implementation of Clinical Genomic Data into the Native Electronic Health Record (EHR): Challenges of Scalability

    • Nephi Walton ;
    • Darren Johnson ;
    • Thomas N. Person ;
    • Marc S. Williams

    Pilot Implementation of Clinical Genomic Data into the Native Electronic Health Record (EHR): Challenges of Scalability

    Identification of a Cohort of Cancer Patients Treated with Checkpoint Inhibitors in Regional Integrated Health Record Data System as a Foundation for Immunotoxicity Research

    • Theresa L. Walunas ;
    • Carlos Galvez ;
    • Saya Jacob ;
    • Jeffrey Sosman ;
    • Abel Kho

    Identification of a Cohort of Cancer Patients Treated with Checkpoint Inhibitors in Regional Integrated Health Record Data System as a Foundation for Immunotoxicity Research

    Real-World Utility Evaluation of a Cohort Definition System Criteria2Query

    • Katherine Wang ;
    • Alex Butler ;
    • Chunhua Weng

    Real-World Utility Evaluation of a Cohort Definition System Criteria2Query

    Incidence-based hierarchical clustering analysis of adverse drug events in the FAERS database

    • Lei Wang ;
    • Lang Li

    Incidence-based hierarchical clustering analysis of adverse drug events in the FAERS database

    Deep Neural Networks Ensemble for Detecting Tweets Mentioning Medications

    • Davy Weissenbacher ;
    • Abeed Sarker ;
    • Ari Klein ;
    • Karen O’Connor ;
    • Arjun Magge Ranganatha ;
    • Graciela Gonzalez-Hernandez

    Deep Neural Networks Ensemble for Detecting Tweets Mentioning Medications

    Visualizing Clinical Assessment Variation for Quality Improvement: An Example in Preoperative Physical Status Classification

    • Andrew Wen ;
    • Sungrim Moon ;
    • Jungwei Fan

    Visualizing Clinical Assessment Variation for Quality Improvement: An Example in Preoperative Physical Status Classification

    A Time-course Network Approach to Investigate TF-microRNA Co-regulation During Craniofacial Development

    • Fangfang Yan ;
    • Lukas Simon ;
    • Yinying Wang ;
    • Junichi Iwata ;
    • Peilin Jia ;
    • Zhongming Zhao

    A Time-course Network Approach to Investigate TF-microRNA Co-regulation During Craniofacial Development

    A trait-tissue association landscape for human complex traits and diseases

    • Zhongming Zhao ;
    • Peilin Jia ;
    • Yulin Dai ;
    • Ruifeng Hu ;
    • Guangsheng Pei ;
    • Astrid Manuel

    A trait-tissue association landscape for human complex traits and diseases

    PheMap: a Multi-resource Knowledgebase for High-throughput Phenotyping within Electronic Health Records

    • Neil Zheng ;
    • Qiping Feng $lastName ;
    • Vern E. Kerchberger ;
    • Juan Zhao ;
    • Todd L. Edwards ;
    • Nancy J. Cox ;
    • Michael Stein ;
    • Dan M. Roden ;
    • Joshua C. Denny ;
    • Wei-Qi Wei

    PheMap: a Multi-resource Knowledgebase for High-throughput Phenotyping within Electronic Health Records

    The Associations between Identifying a Home Caregiver and Diabetic Patients’ Outcomes: Leveraging Data from Electronic Health Records

    • Yaguang Zheng ;
    • Jacob C. Hodges ;
    • Stefanie A. Dunn ;
    • Connie Feiler ;
    • Dan Li ;
    • Andrew Bilderback ;
    • Susan C. Martin ;
    • Bonnie Anton

    The Associations between Identifying a Home Caregiver and Diabetic Patients’ Outcomes: Leveraging Data from Electronic Health Records