AMIA 2019 Annual Symposium Oral Presentations

3:30 p.m. – 5:00 p.m.

Quality Analysis of the All of Us Research Program Health Surveys
R. Cronin, Vanderbilt University; S. Feng, B. Mapes, R. Loperena-Cortes, R. Andrade, D. Schlundt, K. Wallston, Vanderbilt University Medical Center; M. Couper, University of Michigan; S. Sutherland, Vibrent Health; C. Chen, J. Denny, Vanderbilt University Medical Center

R. Cronin, Vanderbilt University; S. Feng, B. Mapes, R. Loperena-Cortes, R. Andrade, D. Schlundt, K. Wallston, Vanderbilt University Medical Center; M. Couper, University of Michigan; S. Sutherland, Vibrent Health; C. Chen, J. Denny, Vanderbilt University Medical Center
Y. Choi, J. Lopez, University of California Davis; D. Meeker, University of Southern California; L. Ohno-Machado, University of California San Diego; K. Kim, University of California Davis

Sharing of Individual Participant Data from Clinical Trials: General Comparison and HIV Use Case
C. Mayer, N. Williams, National Institutes of Health, ICF Incorporated; S. Gold, K. Fung, V. Huser, National Institutes of Health

Expanding the Representation of Permissions and Deontic Roles in the Informed Consent Ontology (ICO)
J. Vajda, University at Buffalo; N. Otte, Johns Hopkins University Applied Physics Laboratory; C. Stansbury, M. Harris, E. Umberfield, F. Manion, University of Michigan; C. Tao, University of Texas Health Science Center at Houston

Biomedical Research Cohort Membership Disclosure on Social Media
Y. Liu, C. Yan, Z. Yin, Z. Wan, W. Xia, Vanderbilt University; M. Kantarcioglu, University of Texas at Dallas; Y. Vorobeychik, Washington University in St. Louis; E. Clayton, Vanderbilt University; B. Malin, Vanderbilt University

Implementation of Real-time Electronic Clinical Decision Support for Emergency Department Patients with Pneumonia Across a Healthcare System
N. Dean, Intermountain Medical Center, University of Utah; C. Vines, J. Rubin, Intermountain Medical Center; D. Collingridge, R. Srivastava, K. Kuttle, B. Webb, Intermountain Healthcare; M. Mankivsky, Cerner Corporation; B. Jones, University of Utah; M. Walker, Utah Valley Regional Medical Center; N. Jenson, Southwest Emergency Physicians; T. Allen, Intermountain Healthcare Delivery Institute, Intermountain Medical Center; P. Haug, Intermountain Healthcare and the University of Utah

Addressing Diagnostic Errors Proactively using Electronic Events to Mitigate Harm During Inpatient Episodes of Care
A. Dalal, K. Schnock, N. Piniella, K. Bersani, P. Garabedian, K. Carr, R. Rozenblum, S. Lipsitz, Brigham and Women's Hospital; J. Griffin, Northeastern University; J. Schnipper, D. Bates, Brigham and Women's Hospital

Integrating Clinical Knowledge and Real-world Evidence for Type 2 Diabetes Treatment
X. Sun, W. Zhao, L. Zuo, Ping An Health Technology; A. Dumitriu, Sanofi; C. Lee, Sanofi; N. Cui, H. Wu , Y. Huang, Sanofi (China) Investment; X. Liao, T. Zhao, X. Jiang, Z. Xu, G. Hu, G. Xie, Ping An Health Technology

Using Interactive Data Visualization to Drive Quality Improvement in Emergency Medical Services
R. Stemerman, M. Pillai, University of North Carolina at Chapel Hill

The Process of Developing, Validating and Operationalizing a Personalized Machine Learning Algorithm for Clinical Decision Support: A Case Study
S. Chokshi, J. Chen, R. Hegde, NYU School of Medicine; E. Iturrate, NYU Langone Health; Y. Aphinyanaphongs, J. Gonzalez, NYU School of Medicine; D. Mann, NYU School of Medicine, NYU Langone Health

Decision-support Needs of ECG Technicians in Inpatient Settings
M. Ozkaynak, University of Colorado; A. Levy, University of Colorado Hospitals; J. Barnard, S. Pincus, M. Ho, University of Colorado-Denver|Anschutz Medical Campus, VA Eastern Colorado Health Care System

Effects of a Virtual Pointer on Trainees’ Cognitive Load and Communication Efficiency in Surgical Training
A. Semsar, University of Maryland, Baltimore County ; H. McGowan, University of Maryland, Baltimore County; Y. Feng, A. Kleinsmith, University of Maryland, Baltimore County; H. Zahiri, I. George, T. Turner, A. Park, Anne Arundel Medical Center; H. Mentis

Designing for the Information Needs of Primary Care Physicians
J. Sokolov, M. Foreman, Y. Park, S. Miller, A. Das, P. Tang, IBM

Nurses’ Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study
P. Yen, Washington University School of Medicine, BJC HealthCare; N. Pearl, Washington University School of Medicine; C. Jethro, E. Cooney, B. McNeil, BJC HealthCare; L. Chen, Washington University School of Medicine; M. Lopetegui, Universidad del Desarrollo; T. Maddox, BJC HealthCare/Washington University School of Medicine, Washington University School of Medicine; M. Schallom, BJC HealthCare

Less Time Typing, More Time Caring: Using Informatics to Mitigate Physician Burnout.
N. Kashyap, A. Hsiao, Yale New Haven Health, Yale School of Medicine

Computerized Conjoint Analysis of the Preferences of Patients with Serious Mental Illness
A. Young, University of California Los Angeles, Greater Los Angeles VA; A. Cohen, N. Goodsmith, A. Hamilton, G. Hellemann, University of California Los Angeles; N. Nowlin-Finch, Los Angeles County Department of Mental Health, University of California Los Angeles

National Prevalence and Hospital Characteristics Associated with Use of Health Information Exchange Following Discharge from Inpatient Psychiatric Units in Acute-care Hospitals
M. Shields, G. Ritter, Brandeis University; A. Busch, McLean Hospital, Harvard Medical School

Collecting Individual-level Social Determinants of Health to Inform Patient-Centered Outcomes Research in Mental Health
J. Deferio, A. Myers, J. Meddar, J. Cukor, J. Pathak, Weill Cornell Medicine

Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts
M. Zolnoori, C. Ngufor, Mayo Clinic; A. Faiola, University of Illinois at Chicago; C. Eldredge, University of South Florida; J. Luo, T. Patrick,University of Wisconsin-Milwaukee; S. Sohn, J. Balls-Berry, A. Tafti, N. Shah, Mayo Clinic

Smartphone Monitoring of Mood Instability in Young Depressed Patients: A Latent-class Analyses
V. Anand, IBM; B. Hu, A. Anand, Cleveland Clinic

8:30 a.m. – 10:00 a.m.

Mining Drugs and Indications for Suicide-related Adverse Events
T. Ding, E. Chen, Brown University

Extracting Drug Exposure Epochs and Drug Response Outcomes from Electronic Health Records
A. Ramirez, Y. Shi, E. Fielstein, J. Schildcrout, H. Ong, J. Denny, J. Peterson, Vanderbilt University Medical Center

Complementing Observational Signal with Distributed Representations for Drug Side-effect Prediction
J. Mower, Rice University; T. Cohen, University of Washington Medicine; D. Subramanian, Rice University

Combining Publicly-available and Electronic Health Record Data to Reposition Drugs
P. Wu, Q. Feng, J. Denny, W. Wei, Vanderbilt University Medical Center

Predicting Adverse Drug-drug Interactions with Neural Embedding of Semantic Predications
H. Burkhardt, University of Washington; D. Subramanian, J. Mower, Rice University; T. Cohen, University of Washington

A Qualitative Study to Examine Approaches used to Manage Data about Health Facilities and their Challenges: A Case of Uganda
J. Mpango, J. Nabukenya, Makerere University

Measuring the Quality of Demographic Data Captured in Maryland’s Hospital and Emergency Department Discharges
A. Li, H. Kharrazi, Johns Hopkins University

Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS
B. Dixon, Indiana University Fairbanks School of Public Health, Regenstrief Institute, Inc.; T. McFarlane, Indiana University Fairbanks School of Public Health; S. Grannis, Regenstrief Institute, Inc., Indiana University School of Medicine; P. Gibson, Marion County Public Health Department, Indiana University Fairbanks School of Public Health

Disseminating Strengths-oriented Best Practices in Diabetes Care Utilizing a Standardized Language within a Global Community
G. Gao, St Catherine University; M. Kerr, University of Minnesota; S. Beman, C. Bruhjell, J. Rudenick, O. Singh, M. Rafiei, St Catherine University; K. Monsen, University of Minnesota

Sonoma County Empowering Caseworkers to Better Serve the Most Vulnerable
J. Snowdon, IBM Corporation; B. Robinson, C. Staats, County of Sonoma; K. Wolsey, T. Strasheim, W. Kassler, G. Jackson, IBM Corporation

Achieving Data Liquidity: Lessons Learned from Analysis of 38 Clinical Registries (The Duke-Pew Data Interoperability Project)
J. Tcheng, Duke Clinical Research Institute, Duke University Health System; J. Drozda, Mercy Health System; D. Gabriel, A. Heath, R. Wilgus, M. Williams, Duke Clinical Research Institute; T. Windle, J. Windle, University of Nebraska Medical Center

ITCBio, a Clinical and Translational Research Integrated Platform EHR-based
C. Parra-Calderón, J. Moreno-Conde, S. Sala-Fernández, Institute of Biomedicine of Seville/Virgen del Rocío University Hospital; A. Moreno-Conde, Institute of Biomedicine of Seville/Virgen del Rocío University Hospital, Virgen Macarena University Hospital

Large-scale Database Integration and Analytical Evaluation of Medical Data: Building a Clinical Repository for Extracorporeal Membrane Oxygenation Therapy in Critically Ill Patients
C. Moore, O. Jawitz, M. Aschenbrenner, C. Ramirez, M. Small, R. Overton, T. Leiro, U. Rogers, J. O'Dell, J. Kelly, M. Podgoreanu, B. Bryner, E. Huang, Duke University

Experiences from the National Demonstrator Study within the German Medical Informatics Initiative
T. Ganslandt, Mannheim University Medicine; J. Schaaf, University Hospital Frankfurt; J. Schepers, F. Balzer, Charité - Universitätsmedizin Berlin; H. Storf, University Hospital Frankfurt; S. Haferkamp, University Hospital Aachen; R. Lodahl, U. Sax, University Medical Center Göttingen; F. Prasser, Technical University of Munich; H. Stenzhorn, University Hospital Tübingen; H. Prokosch, Friedrich-Alexander-University Erlangen-Nuremberg; M. Boeker, Medical Faculty and Medical Center - University of Freiburg

SeizureBank: A Repository of Analysis-ready Seizure Signal Data
X. Li, University of Texas Health Science Center at Houston, University of Kentucky, Case Western Reserve University; Y. Huang, University of Kentucky, University of Texas Health Science Center at Houston; S. Tao, L. Cui, S. Lhatoo, G. Zhang, University of Texas Health Science Center at Houston

Engaging Pharmacists to Crowdsource a Fine-grained Medication Risk Scale: An Initial Measurement Study Using Paired Comparisons of Medications
A. Flynn, G. Farris, G. Meng, J. Allan, S. Kurosu, School of Medicine University of Michigan; N. Lampa, University of Michigan; K. Sasagawa, School of Medicine University of Michigan

A Model for Building an Analytics Based Decision Making Culture to Support Learning Healthcare Organizations
C. LeRouge, Florida International University; G. Sayre, B. Frogner, University of Washington; P. Gomes, Florida International University; L. Rubinstein, University of California Los Angeles; S. Sangameswaran, University of Washington

Leveraging Clinical Expertise as a Feature – Not an Outcome – of Predictive Models: Evaluation of an Early Warning System Use Case
S. Collins Rossetti, C. Knaplund, Columbia University; D. Albers, University of Colorado, Columbia University; A. Tariq, K. Tang, New York-Presbyterian; D. Vawdrey, New York-Presbyterian, Columbia University; N. Yip, Columbia University Medical Center; P. Dykes, M. Kang, Brigham and Women's Hospital, Harvard Medical School; J. Klann, Harvard Medical School; J. Garcia, K. Schnock, Brigham and Women's Hospital; L. Fu, K. Cato, Columbia University

Using Electronic Health Record Activity to Represent Interdisciplinary Care Teams and Examining their Contribution to Hospital Length of Stay
D. Walpitage, A. Garcia, E. Harper, N. Sharma, L. Waitman, University of Kansas Medical Center

Reasons, Information, and Time: Exploration of Dental Clinician-Initiated Medical Consultations
K. Williams, Indiana University, Regenstrief Institute, Inc.

10:30 a.m. – 12:00 p.m.

Developing Cancer Informatics Tools to Support the Implementation and Operation of a Cancer Care Navigation Program Across Eight VA Facilities
T. Rose, J. Yang, VA Portland Healthcare System; J. McConnachie, Providence Health & Services

A Frame Semantic Overview of NLP-based Information Extraction for Cancer-related EHR Notes: A Scoping Review
S. Datta, E. Bernstam, K. Roberts, The University of Texas Health Science Center at Houston

Framework for Clinical Decision Support and Structured Reporting in Radiology
S. Nair, American College of Radiology

Continuum of Interoperability in Oncology EHR Implementations
E. Bernstam, The University of Texas Health Science Center at Houston; J. Warner, Vanderbilt University Medical Center; J. Krauss, University of Michigan Medical School; E. Ambinder, The Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai; W. Rubinstein, G. Komatsoulis, R. Miller, CancerLinQ LLC; J. Chen, The Ohio State University

Leveraging Non-lattice Subgraphs to Audit Hierarchical Relations in NCI Thesaurus
R. Abeysinghe, M. Brooks, University of Kentucky; L. Cui, University of Texas Health Science Center at Houston

User Engagement with Web-based Genomics Education Videos and Implications for Designing Scalable Patient Education Materials
J. Wynn, W. Wei, X. Li, Y. So, S. Bakken, C. Weng, W. Chung, Columbia University Medical Center

Improving the Odds of Success for Precision Medicine Using the Social Ecological Model
S. McGrath, University of Nebraska at Omaha

genoDraw: A Web Tool for Developing Pedigree Diagrams Using the Standardized Human Pedigree Nomenclature Integrated with Biomedical Vocabularies
L. Garcia-Giordano, S. Paraiso-Medina, R. Alonso-Calvo, Universidad Politécnica de Madrid; F. Fernández-Martínez, 12 de Octubre Hospital; V. Maojo, Universidad Politécnica de Madrid

Public Attitudes Toward Direct to Consumer Genetic Testing
G. Ruhl, J. Hazel, E. Clayton, B. Malin, Vanderbilt University

Breast Cancer Screening Rates Among Family Members of Affected Relatives
F. Polubriaginof, S. Jiang, NewYork-Presbyterian Hospital; N. Tatonetti, Columbia University; D. Vawdrey, NewYork-Presbyterian Hospital, Columbia University

Validation of a Computable Phenotype for Site-specific Cancer Treatment
E. Sholle, O. Belden, J. Rosenzweig, J. Levine, J. Kabariti, T. Campion, J. Pathak, Weill Cornell Medicine

Patient Stratification Process for enabling Clinical Interventions
K. Wagholikar, Harvard Medical School, Partners Healthcare; S. Aronson, Partners Healthcare; B. Scirica, Partners Healthcare, Harvard Medical School; A. Desai, S. Murphy, Partners Healthcare, Harvard Medical School

Learning Disease Phenotypes with Semi-supervision
V. Rodriguez, A. Perotte, Columbia University

Identifying Early Hepatic Encephalopathy Through Digital Phenotyping
J. Koola, University of California San Diego, VA San Diego; V. Ajmera, J. Godino, L. L'Heureux, A. Gooding, M. Norman, University of California San Diego; F. Hussain, A. Leow, University of Illinois at Chicago

The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database
T. Adam, University of Minnesota

QUICK: A FHIR Logical Model for Clinical Decision Support and Clinical Quality Measurement
C. Nanjo, G. Del Fiol, D. Martin, R. Bradshaw, University of Utah; B. Rhodes, Dynamic Content Group; F. Eisenberg, iParsimony; K. Kawamoto, University of Utah

Clinical Tractor: A Framework for Automatic Natural Language Understanding of Clinical Practice Guidelines
D. Schlegel, K. Gordon, SUNY Oswego; C. Gaudioso, Roswell Park Cancer Institute; M. Peleg, University of Haifa

A Potential Answer to the Alert Override Riddle: Using Patient Attributes to Predict False Positive Alerts
T. Kennell, J. Cimino, University of Alabama at Birmingham

Requirements for a Quality Dashboard: Lessons from National Clinical Audits
R. Randell, N. Alvarado, L. McVey, R. Ruddle, University of Leeds; P. Doherty, University of York; C. Gale, University of Leeds; M. Mamas, Royal Stoke Hospital; D. Dowding, Manchester University

Exploring Different Approaches in Measuring EHR-based Adherence to Best Practice – A Case Study with Order Sets and Associated Outcomes
N. Hulse, J. Lee, J. Benuzillo, Intermountain Healthcare

1:45 p.m. – 3:15 p.m.

Considerations for Improving the Portability of Electronic Health Record-based Phenotype Algorithms
L. Rasmussen, Northwestern University; P. Brandt, University of Washington; G. Jiang, R. Kiefer, Mayo Clinic; J. Pacheco, Y. Luo, Northwestern University; P. Adekkanattu, J. Ancker, F. Wang, Z. Xu, J. Pathak, Weill Cornell Medicine

Have ICD-10 Coding Practices Changed Since 2015?
S. Sivashankaran, J. Borsi, A. Yoho, IBM Watson Health

Hidden Gaps in Using Common Data Models to Achieve Interoperability Between Electronic Phenotypes and Clinical Data
F. Kury, L. Fu, Columbia University; C. Yuan, Nanjing University of Science and Technology; I. Sim, S. Carini, University of California San Francisco; C. Weng, Columbia University

Towards Augmenting Structured EHR Data: a Comparison of Manual Chart Review and Patient Self-report
N. Weiskopf, A. Cohen, J. Hannan, T. Jarmon, D. Dorr, Oregon Health & Science University

Automating New-user Cohort Construction with Coarsened Exact Matching and Indication Embeddings
R. Melamed, University of Chicago

Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data
E. Apostolova,; A. Uppal, Bellevue Hospital Center; J. Galarraga, MedStar Health Research Institute, Georgetown University School of Medicine; I. Koutroulis, Children’s National Health System; T. Tschampel, T. Velez, CTA; T. Wang, Imedacs

Prevalence and Predictability of Low Yield Inpatient Laboratory Diagnostic Tests
S. Xu, J. Horn, S. Balasubramanian, Stanford University; L. Schroeder, University of Michigan; N. Najafi, University of California San Francisco; S. Roy, J. Chen, Stanford University

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods
X. Yang, University of Florida; Y. Gong, University of Florida, College of Medicine, Center for Pharmacogenomics and Precision Medicine; N. Waheed, K. March, University of Florida, College of Medicine; J. Bian, W. Hogan, Y. Wu, University of Florida

Dissemination of Tuberculosis Clinical Evidence – An Application of Network Analysis to Publicly Available Resources
M. Abrams, D. Wang, Arizona State University

Progressive Multi Class Predictive Modeling of Disposition Decision at Different Care Delivery Stages in an Emergency Department
M. Tootooni, K. Pasupathy, H. Heaton, C. Clements, M. Sir, Mayo Clinic

medExtractR: A Medication Extraction Algorithm for Electronic Health Records using the R Programming Language
H. Weeks, C. Beck, E. McNeer, C. Bejan, J. Denny, Vanderbilt University; L. Choi, Vanderbilt University

Non-negative Matrix Factorization for Drug Repositioning: Experiments with the repoDB Dataset
M. Bakal, University of Kentucky; H. Kilicoglu, National Library of Medicine; R. Kavuluru, University of Kentucky

aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations
J. Portanova, University of Washington; N. Murray, Hofstra University; J. Mower, D. Subramanian, Rice University; T. Cohen, University of Washington

Comparing the Distribution and Predictive Power of Medication Adherence Indexes Derived from EHRs and Claims in Forecasting Healthcare Utilization
X. Ma, C. Jung, H. Kharrazi, Johns Hopkins University

Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning
O. Choudhury, Y. Park, T. Salonidis, A. Gkoulalas-Divanis, I. Sylla, A. Das, IBM Research

Analyzing Flowsheet Data to Refine and Validate Information Models
K. Lytle, Duke University Health System; B. Westra, University of Minnesota; M. Hook, Advocate Aurora Health; M. Adams, Allina Health; D. Ali, Grand Canyon University; M. Furukawa, University of California Los Angeles Health; S. Johnson, University of Minnesota; T. Rajchel, North Memorial; S. Collins Rossetti, Columbia University Medical Center; T. Settergren, Retired; L. Whittenburg, Bumrungrad International

More Than Copy-paste: Content-importing in Clinical Documentation
A. Rule, M. Chiang, M. Hribar, Oregon Health & Science University

Feasibility Assessment of a Pre-hospital Automated Sensing Clinical Documentation System
S. Bloos, C. McNaughton, J. Coco, L. Novak, Vanderbilt University Medical Center; J. Adams, Oregon State University; R. Bodenheimer, J. Ehrenfeld, J. Heard, R. Paris, C. Simpson, D. Scully, D. Fabbri, Vanderbilt University Medical Center

Dynamic Reaction Picklists for Improving Allergy Reaction Documentation
L. Wang, Brigham and Women Hospital/Harvard Medical School; S. Blackley, Partners HealthCare; C. Ortega, Brigham and Women Hospital; D. Seger, Partners HealthCare/Brigham and Women Hospital; Z. Korach, P. Wickner, L. Zhou, Brigham and Women Hospital/Harvard Medical School; K. Lai, Brandeis University; F. Goss, University of Colorado School of Medicine/University of Colorado Hospital; K. Blumenthal, Harvard Medical School/Massachusetts General Hospital

Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering
S. Johnson, L. Pruinelli, B. Westra, University of Minnesota

3:30 p.m. – 5:00 p.m.

Development of an Automated Provider-specific “Learning List” within a Commercial Electronic Health Record
R. El-Kareh, A. Kemp, S. Hurst, University of California San Diego

Timing Considerations for Noninvasive Vagal Nerve Stimulation in Clinical Studies
N. Gurel, A. Gazi, K. Scott, Georgia Institute of Technology; M. Wittbrodt, Emory University School of Medicine; A. Shah, Emory University Rollins School of Public Health/Emory University School of Medicine/Atlanta VA Medical Center; V. Vaccarino, Emory University Rollins School of Pubic Health/Emory University School of Medicine; D. Bremner, Emory University School of Medicine/Atlanta VA Medical Center/Emory University School of Medicine; O. Inan, Georgia Institute of Technology

Measuring the Impact of Screening Automation on Meta-analyses of Diagnostic Test Accuracy
C. Norman, Limsi-CNRS/Academic Medical Center; M. Leeflang, Academic Medical Center; R. Porcher, Université Paris Descartes; A. Neveol, Limsi-CNRS

VERTICOX: Vertically Distributed Cox Proportional Hazards Model
X. Jiang, L. Bonomi, L. Ohno-Machado, University of Texas Health Science Center at Houston

Design and Implementation of an Electronic Survey for Follow-up of Acute Conditions in Primary Care
V. Joshi, J. Schrom, K. Munkittrick, C. Stearns, S. Ivanova, D. Hoang, L. Lesser, T. Fakhouri, A. Diamond, One Medical

Migrating from One Comprehensive Commercial EHR to Another: Perceptions of Front-line Clinicians and Staff
T. Reynolds, University of California Irvine; B. Clay, University of California San Diego Health System; S. Rudkin, D. Perret, P. Patton, University of California Irvine Health; S. Beckham, Optimum Healthcare IT; J. Glandorf, C. Longhurst, University of California San Diego Health System; K. Zheng, University of California Irvine

Motivation and Barriers to Using the Veterans Health Information Exchange: A Survey of Veterans Affairs ‘Superusers’
K. Wing, Department of Veterans Affairs; O. Bouhaddou, InnoVet HEALTH; N. Hsing, Department of Veterans Affairs; C. Turvey, D. Klein, Department of Veterans Affairs/Iowa City VA Health Care System/The University of Iowa Carver College of Medicine; J. Nelson, M. Donahue, Department of Veterans Affairs

Process Mining and Ethnography Study of Medication Reconciliation Tasks
V. Ramesh Vellore, A. Grando, B. Duncan, D. Kaufman, S. Furniss, B. Doebbeling, Arizona State University; K. Poterack, T. Miksch, R. Helmers, Mayo Clinic

Implementing Predictive Analytic Models in Diverse Healthcare Systems: A Qualitative Study with Operational, Informatics, and Front-line Personnel
N. Benda, E. Abramson, L. Das, Weill Cornell Medicine; K. Blackburn, University of Florida; A. Thoman, R. Kaushal, J. Ancker, Weill Cornell Medicine

The Impact of Transitioning from Availability of Outside Records within EHR to Integration of Local and Outside Records within EHR
J. Adler-Milstein, M. Wang, University of California San Francisco

Optimizing Workflows in the Patient Portal to Incorporate Patient-reported Outcomes in Clinical Practice
C. Segal, E. Austin, D. Chang, E. Sutton, D. Lavallee, University of Washington

Health Cards to Assist Decision Making in Consumer Health Search
J. Jimmy, University of Queensland/University of Surabaya; G. Zuccon, University of Queensland; B. Koopman, Australian E-Health Research Center/CSIRO; G. Demartini, University of Queensland

HarborBot: A Chatbot for Social Needs Screening
R. Kocielnik, E. Agapie, A. Argyle, University of Washington; D. Hsieh, K. Yadav, Harbor-UCLA Medical Center; B. Taira, Olive View–UCLA Medical Center; G. Hsieh, University of Washington

An Analytical Approach for Improving Patient-centric Delivery of Dialysis Services
R. Fleming, Cardiff University; D. Gartner, Cardiff University/National Health Service (NHS); R. Padman, Carnegie Mellon University; D. James, Abertawe Bro Morgannwg University Health Board

Patients’ Perceptions of Heart Failure Through the Lens of Standardized Nursing Terminologies
H. Vatani, K. Dunn Lopez, A. Boyd, University of Illinois, Chicago

Get on the Same Page: Negotiating and Aligning Knowledge and Expectations between Patients and Providers through Self-tracking Artifacts
A. Pichon, M. Houterloot, Columbia University; K. Schiffer, Barnard College; E. Horan, N. Elhadad, Columbia University

Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health
A. Chung, University of North Carolina at Chapel Hill, School of Medicine; K. Glass, Brigham and Women's Hospital, Harvard Medical School; J. Leisey-Bartsch, L. Mentch, University of Pittsburgh; N. Gehlenborg, Harvard Medical School; D. Gotz, University of North Carolina at Chapel Hill

Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data
T. Coleman, L. Mentch, University of Pittsburgh; K. Glass, Brigham & Women's Hospital/Harvard Medical School; D. Gotz, University of North Carolina at Chapel Hill; N. Gehlenborg, Harvard Medical School; A. Chung, University of North Carolina at Chapel Hill

Multivariate Analysis of Physicians’ Practicing Behaviors in an Urgent Care Telemedicine Intervention
S. Liu, University of North Carolina at Chapel Hill; B. Edson, R. Gianforcaro, UNC Healthcare; S. Khairat, University of North Carolina at Chapel Hill

Is Online Portal Training Effective for Older Adults? An Experimental Study to Evaluate the Impact of Providing Patient Portal Multimedia Instructional Materials on Older Adults' Performance in Using Portals
Y. He, University of Wisconsin-Madison

8:30 a.m. – 10:00 a.m.

An Evaluation of an Artificial Intelligence Clinical Trial Matching System in Australian Lung Cancer Patients
M. Alexander, B. Solomon, D. Ball, Peter MacCallum Cancer Center; M. Sheerin, I. Dankwa-Mullan, G. Jackson, IBM Watson Health; D. Herath, Peter MacCallum Cancer Center

Assessing the Validity of a a priori Patient-trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study
Q. Li, University of Florida; Z. He, Florida State University; Y. Guo, H. Zhang, T. George, W. Hogan, J. Bian, University of Florida; N. Charness, Florida State University

Classifying Non-small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks
K. Yu, Harvard Medical School; F. Wang, G. Berry, C. Ré, R. Altman, M. Snyder, Stanford University; I. Kohane, Harvard Medical School

Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
S. Sornapudi, Missouri University of Science and Technology; G. Brown, Z. Xue, R. Long, National Library of Medicine; L. Allen, Becton Dickinson and Company; S. Antani, National Library of Medicine

Multi-technology Meta-analysis Identifies Bacterial Signatures Delineating Clinical Response to Immune Checkpoint-Inhibitor Therapy in Melanoma Cohorts
J. Ravichandar, C. Chow, C. Skennerton, D. Haria, E. Rutherford, H. Kiefel, J. Dreux, K. Graham, K. Iverson, L. Yamamoto, M. Lin, M. Willcoxon, N. Narayan, P. Loriaux, R. Hannibal, S. Lau, S. Iwai, S. Jain, T. Weinmaier, Y. Wu, Y. Katlinskaya, T. Takeuchi, K. Dabbagh, T. DeSantis, Second Genome

A High Recall Classifier for Selecting Articles for MEDLINE Indexing
A. Rae, M. Savery, J. Mork, D. Demner-Fushman, National Library of Medicine

Tuning and Evaluating a State-of-the-Art Machine Comprehension Model for Clinical Why-question Answering
J. Fan, Mayo Clinic

Learning Inter-sentence, Disorder-centric, Biomedical Relationships from Medical Literature
A. van der Vegt, G. Zuccon, University of Queensland; B. Koopman, CSIRO

Relation Extraction from Clinical Narratives Using Pre-trained Language Models
Q. Wei, Z. Ji, Y. Si, J. Du, J. Wang, F. Tiryaki, S. Wu, C. Tao, K. Roberts, H. Xu, The University of Texas Health Science Center

Using FHIR to Construct a Corpus of Clinical Questions Annotated with Logical Forms and Answers
S. Soni, M. Gudala, The University of Texas Health Science Center at Houston; D. Wang, University of Florida; K. Roberts, The University of Texas Health Science Center at Houston

A Data-driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records
R. Tsui, Children's Hospital of Philadelphia; L. Yang, Children's Hospital of Philadelphia/University of Pittsburgh; L. Shi, L. Wu, Children's Hospital of Philadelphia

Parent Perspectives on Pediatric Inpatient OpenNotes
C. Smith, University of Wisconsin-Madison/Wisconsin Institutes for Discovery; R. Coller, University of Wisconsin School of Medicine and Public Health; S. Dean, University of Wisconsin School of Medicine and Public Health/UW Health; D. Sklansky, University of Wisconsin School of Medicine and Public Health; P. Hoonakker, University of Wisconsin-Madison; W. Smith, B. Ehlenfeldt, UW Health; A. Thurber, University of Wisconsin School of Medicine and Public Health; M. Kelly, University of Wisconsin School of Medicine and Public Health/University of Wisconsin-Madison

Evaluating a Visual Annotation Tool on Pediatric Weight Charts
P. Van Camp, L. Liu, University of Cincinnati/Cincinnati Children’s Hospital Medical Center; C. Mahdi, Cincinnati Children’s Hospital Medical Center; S. Spooner, Y. Ni, University of Cincinnati/Cincinnati Children’s Hospital Medical Center; D. Wu, University of Cincinnati

Development and Evaluation of a Machine Learning-based Approach to Detect Errors in Pediatric Weight Data
L. Liu, P. Van Camp, University of Cincinnati/Cincinnati Children’s Hospital Medical Center; C. Mahdi, Cincinnati Children’s Hospital Medical Center; S. Spooner, D. Wu, Y. Ni, Cincinnati Children’s Hospital Medical Center/University of Cincinnati

Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning
W. Lin, I. Goldstein, M. Hribar, Oregon Health & Science University; D. Sanders, Oregon Health & Science University/Legacy Devers Eye Institute; M. Chiang, Oregon Health & Science University

Ontologies Enabling Computable Tables
J. Klann, Harvard Medical School/Massachusetts General Hospital/Partners Healthcare; N. Wattanasin, M. Mendis, M. Joss, Partners Healthcare; H. Estiri, K. Wagholikar, Harvard Medical School/Massachusetts General Hospital; S. Murphy, Partners Healthcare/Massachusetts General Hospital/Harvard Medical School

The Use of Inter-terminology Maps for the Creation and Maintenance of Value Sets
K. Fung, J. Xu, S. Gold, National Library of Medicine

One-way and Round-trip Analysis Demonstrates Surprising Limitations of Standards-based Terminology Maps
S. Brown, Department of Veterans Affairs /Vanderbilt University Medical Center; L. Stevenson, Department of Veterans Affairs; D. Territo, J. Killbourne, H. Miller, Department of Veterans Affairs; J. Nebeker, University of Utah; M. Lincoln, Department of Veterans Affairs/University of Utah

Bootstrapping Adversarial Learning of Biomedical Ontology Alignments
R. Maldonado, S. Harabagiu, The University of Texas at Dallas

Training Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment
L. Zheng, Monmouth University; H. Liu, Y. Perl, J. Geller, New Jersey Institute of Technology

A Health System’s Pilot Experience with Using Mobile Social Knowledge Networking (SKN) Technology to Enable Meaningful Use of EHR Medication Reconciliation Technology
P. Rangachari, K. Dellsperger, Augusta University; R. Rethemeyer, University at Albany/SUNY

Machine Learning-based Opioid Overdose Prediction Using Electronic Health Records
X. Dong, S. Rashidian, Y. Wang, J. Hajagos, X. Zhao, R. Rosenthal, J. Kong, M. Saltz, J. Saltz, F. Wang, Stony Brook University

Hypersphere Clustering to Characterize Healthcare Providers Using Prescriptions and Procedures from Medicare Claims Data
N. Fillmore, Department of Veterans Affairs /Harvard University; S. Goryachev, Department of Veterans Affairs; J. Weiss, Carnegie Mellon University/University of Pittsburgh

An Effort to A.C.T. (Accuracy, Comprehensiveness, and Timeliness) on Opioid Prescription Data
E. Gershanik, Brigham and Women's Hospital

Testing the Feasibility of an Academic-state Partnership to Combat the Opioid Epidemic in Tennessee Through Predictive Analytics
C. Puchi, Vanderbilt University; B. Tyndall, M. McPheeters, Tennessee Department of Health; C. Walsh, Vanderbilt University Medical Center

Interventions to Increase Patient Portal Use in Vulnerable Populations: A Systematic Review
L. Grossman, Columbia University; R. Masterson Creber, N. Benda, D. Wright, Weill Cornell Medicine; D. Vawdrey, Columbia University; J. Ancker, Weill Cornell Medicine

Using Priorities of Hospitalized Patients and Their Caregivers to Develop Personas
E. Agapie, University of Washington; L. Kendall, Palantir Technologies; S. Mishra, S. Haldar, M. Khelifi, A. Pollack, W. Pratt, University of Washington

Health Tracking and Information Sharing in the Patient-centered Era: A Health Information National Trends Survey (HINTS) Study
A. Griffin, A. Chung, University of North Carolina at Chapel Hill

Design and Use of an Inpatient Peer Support Technology Probe
S. Haldar, University of Washington; Y. Kim, Seoul National University/University of Washington; A. Pollack, Seattle Children's Hospital/University of Washington; W. Pratt, University of Washington

Relationship Between Adherence to Daily Home Telehealth Use and Health Services Use in Veterans with Heart Failure
J. Guzman, VA GLAHS/SAVAHCS; B. Viernes, VA Salt Lake City Health Care System/University of Utah; M. Lee, VA GLAHS/ University of California Los Angeles; M. Farmer, VA GLAHS; B. Wakefield, Iowa City VA/University of Missouri Health; M. Yefimova, VA Palo Alto Health Care System/Stanford Healthcare; T. Hahn, VA Greater Los Angeles Healthcare System/ University of California Los Angeles

10:30 a.m. – 12:00 p.m.

A Digital Biomarker for Detection of Benign Childhood Epilepsy with Centrotemporal Spikes
A. Sathyanarayana, Harvard University/Boston Children's Hospital; R. El Atrache, M. Jackson, I. Sanchez Fernandez, K. Mandl, T. loddenkemper, Boston Children's Hospital/Harvard University; W. Bosl, Boston Children's Hospital/University of San Francisco

Enhancing Multi-center Patient Cohort Studies in the Managing Epilepsy Well (MEW) Network: Integrated Data Integration and Statistical Analysis
X. Hong, C. Liu, H. Momotaz, Case Western Reserve University; K. Cassidy, M. Sajatovic, University Hospitals Cleveland Medical Center/Case Western Reserve University; S. Sahoo, Case Western Reserve University

Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients
A. Tabaie, S. Nemati, J. Allen, C. Chung, F. Queiroga, W. Kuk, A. Prater, Emory University

Discriminative Sleep Patterns of Alzheimer’s Disease via Tensor Factorization
Y. Kim, X. Jiang, L. Chen, X. Li, Case Western Reserve University; L. Cui, University of Texas Health Science Center at Houston

Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients
T. Yavuz, Stevens Institute of Technology; J. Claassen, Columbia University; S. Kleinberg, Stevens Institute of Technology

Comparison of Free-text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics
G. Dexter, Purdue University; S. Grannis, S. Kasthurirathne, Indiana University/Regenstrief Institute, Inc

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
D. Hood, Regenstrief Institute, Inc.; S. Grannis, P. Embi, Regenstrief Institute, Inc./Indiana University; J. Martin, D. Shah, Indiana Management Performance Hub; J. Roach, KSM Consulting; K. Allen, Regenstrief Institute, Inc.

Redesigning PopMedNetTM for Distributed Regression Analysis with Vertically Partitioned Data
Q. Her, Harvard Pilgrim Health Care Institute; Y. Samizo, T. Kent, A. Slavkovic, Pennsylvania State University; M. Gallagher, D. Toh, Harvard Pilgrim Health Care Institute

Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Interventions
S. Xie, R. Hubbard, B. Himes, University of Pennsylvania

High Performance Computing on Flat FHIR Files Created with the New SMART/HL7 Bulk Data Access Standard
D. Liu, Boston Children’s Hospital ; R. Sahu, 1upHealth; V. Ignatov, D. Gottlieb, K. Mandl, Boston Children’s Hospital

Reduction in Severe Ordering Errors of Blood Products in Pediatrics through Formative and Summative Usability Testing
E. Orenstein, J. Boudreaux, M. Rollins, Emory University/Children's Healthcare of Atlanta; J. Jones, C. Bryant, Children's Healthcare of Atlanta; D. Karavite, N. Muthu, Children's Hospital of Philadelphia; J. Hike, H. Williams, A. Carter, Children's Healthcare of Atlanta; C. Josephson, Emory University/Children's Healthcare of Atlanta

Creating a Database for Health IT Event Reports by Using a Hybrid Deep Learning Model
H. Kang, Y. Gong, University of Texas Health Science Center at Houston

Building Safer EHRs: Hospital Medication Order Safety Performance
A. Holmgren, Harvard University/Brigham & Women's Hospital; Z. Co, L. Newmark, Brigham & Women's Hospital; M. Danforth, The Leapfrog Group; D. Classen, University of Utah Health Science Center; D. Bates, Brigham & Women's Hospital

Detecting Unanticipated Actions Downstream from Clinical Decision Support: A Data Mining Approach
R. Li, I. Banerjee, D. Rubin, J. Chen, Stanford University School of Medicine

Technology Implementation and Associated Pharmacy Interruptions
K. Pasupathy, Mayo Clinic; L. Steege, C. Cho, University of Wisconsin-Milwaukee

Predicting Transition Words Between Sentences for English and Spanish Medical Text
D. Kauchak, Pomona College; G. Leroy, M. Pei, S. Colina, University of Arizona

De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models
B. Tang, D. Jiang, Q. Chen, X. Wang, Key Laboratory of Network Oriented Intelligent Computation/Harbin Institute of Technology; J. Yan, Yidu Cloud (Beijing) Technology Co., Ltd; Y. Shen, Peking University, Shenzhen Graduate School

FHIR OWL: Transforming OWL Ontologies into FHIR Terminology Resources
A. Metke Jimenez, M. Lawley, D. Hansen, CSIRO

Learning to Estimate Nutrition Facts from Food Descriptions
H. Amiri, A. Beam, I. Kohane, Harvard Medical School

Unleashing the Value of Common Data Elements through the CEDAR Workbench
M. O’Connor, Stanford University; D. Warzel, National Cancer Institute; M. Martínez-Romero, J. Hardi, D. Willrett, Stanford University; A. Efekhari, Attain LLC; J. Graybeal, M. Musen, Stanford University

Enabling Privacy Preserving Record Linkage Systems Using Asymmetric Key Cryptography
X. Dong, D. Randolph, S. Kolar Rajanna, University of Illinois at Chicago

Trends and Characteristics of Protected Health Information Breaches in the United States
M. Hossain, Texas A&M University; Y. Hong, George Mason University

Effects of an Interactive Trust-enhanced Electronic Consent on Patient Experiences with Consenting to Share their Health Records for Research
C. Harle, Indiana University/Regenstrief Institute, Inc.; E. Golembiewski, Indiana University; K. Rahmanian, B. Brumback, J. Krieger, University of Florida; K. Goodman, University of Miami; A. Mainou, R. Moseley, University of Florida

Protecting Patient Privacy in Survival Analyses
L. Bonomi, University of California San Diego; X. Jiang, University of Texas Health Science Center at Houston; L. Ohno-Machado, University of California San Diego

Trust and Privacy: How Patient Trust in Providers is Related to Privacy Behaviors and Attitudes
B. Iott, University of Michigan School of Public Health/University of Michigan School of Information; C. Campos-Castillo, University of Wisconsin-Milwaukee; D. Anthony, University of Michigan School of Public Health

1:45 p.m. – 3:15 p.m.

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
L. Liu, H. Li, Peking University; Z. Hu, Carnegie Mellon University; H. Shi, Z. Wang, Peking University; J. Tang, Quebec AI Institute/HEC Montreal; M. Zhang, Peking University

Predicting Length of ICU Stay via Random Forest
J. Wu, K. Lin, Y. Lin, Y. Hu, G. Kong, Peking University

Interpretation of Machine Learning Predictions for Patient Outcomes in Electronic Health Records
W. La Cava, University of Pennsylvania; C. Bauer, Biomedical and Translational Informatics Institute; J. Moore, University of Pennsylvania; S. Pendergrass, Biomedical and Translational Informatics Institute

Comparison of Prediction Model Performance Updating Protocols: Using a Data-driven Testing Procedure to Guide Updating
S. Davis, Vanderbilt University School of Medicine; R. Greevy, Vanderbilt University; T. Lasko, C. Walsh, Vanderbilt University School of Medicine; M. Matheny, Vanderbilt University School of Medicine/VA Tennessee Valley Healthcare System

Why Patient Portal Messages Indicate Risk of Readmission for Patients with Ischemic Heart Disease
L. Sulieman, Z. Yin, B. Malin, Vanderbilt University

The Role of Informatics in Social Needs Care Integration: Selected Results from a National Academies of Sciences, Engineering, and Medicine Committee Report
R. Gold, OCHIN, Inc./Kaiser Permanente Center for Health Research; A. Haley, University of North Carolina; L. Cooper, Johns Hopkins University; L. Gottlieb, University of California San Francisco

Clinic Characteristics Associated with Screening for Social Determinants of Health
M. Marino, J. Kaufmann, D. Ezekiel-Herrera, Oregon Health & Science University; D. Wright, OCHIN, Inc.; E. Cottrell, OCHIN, Inc./Oregon Health & Science University; R. Gold, OCHIN, Inc./Kaiser Permanente Center for Health Research

Determination of Marital Status of Patients from Structured and Unstructured Electronic Healthcare Data
B. Bucher, J. Shi, R. Pettit, University of Utah School of Medicine; J. Ferraro, Intermountain Healthcare; W. Chapman, University of Utah School of Medicine; A. Gundlapalli, University of Utah School of Medicine/VA Salt Lake City Healthcare System

Longitudinal Analysis of Social and Behavioral Determinants of Health in the EHR: Exploring the Impact of Patient Trajectories and Documentation Practices
D. Feller, J. Zucker, O. Bear Don't Walk, M. Yin, P. Gordon, N. Elhadad, Columbia University

Regional Variations in Documentation of Sexual Trauma Concepts in Electronic Medical Records in the United States Veterans Health Administration
A. Jones, W. Pettey, M. Carter, E. Brignone, A. Redd, Y. Suo, G. Divita, R. Blais, J. Fargo, A. Gundlapalli, VA Salt Lake City Health Care System

An Evaluation of mHealth Adoption and Health Self-management in Emerging Adulthood
C. Drake, University of North Carolina at Chapel Hill, Gillings School of Global Public Health/Duke University School of Medicine; M. Cannady, Duke University School of Medicine; C. Shea, University of North Carolina at Chapel Hill, Gillings School of Global Public Health; K. Howley, R. Snyderman, Duke University School of Medicine

Feasibility of a Machine Learning-based Method to Generate Personalized Nutrition Goals for Diabetes Self-management
E. Mitchell, Columbia University; M. Burgermaster, The University of Texas at Austin, Dell Medical School; E. Heitkemper, L. Mamykina, Columbia University; M. Levine, California Institute of Technology; Y. Miao, Columbia University; E. Tabak, Courant Institute of Mathematical Sciences; A. Smaldone, Columbia University School of Nursing; D. Albers, University of Colorado

YouTube Video Analytics for Patient Self-care of Chronic Diseases
X. Liu, University of Utah; B. Zhang, University of Arizona; A. Susarla, Michigan State University; R. Padman, Carnegie Mellon University

Persuasive Data Videos: Investigating Persuasive Self-tracking Feedback with Augmented Data Videos
E. Choe, University of Maryland, College Park; Y. Sakamoto, University of Manitoba; Y. Fatmi, ENAC, University of Toulouse; B. Lee, Microsoft Research; C. Hurter, ENAC, University of Toulouse; A. Haghshenas, P. Irani, University of Manitoba

Usability Evaluation of an Adaptive Information Recommendation System for Breast Cancer Patients
M. Jacobs, Harvard University; J. Hopkins, M. Mumber, Harbin Clinic Cancer Center; E. Mynatt, Georgia Institute of Technology

3:30 p.m. – 5:00 p.m.

Tracking AMIA Health Informatics Educational Domains: Lessons Learned from a Pilot Test
S. Feldman, University of Alabama at Birmingham; S. Boren, D. Moxley, University of Missouri; C. Garza, E. Berner, University of Alabama at Birmingham

Objective Measures for Medical Education from the Electronic Health Record
S. Panchanathan, University of Arizona; A. Muth, VA Central Iowa Health Care System; P. Garcia-Filion, University of Arizona

Identification and Ranking of Biomedical Informatics Researcher Citation Statistics through a Google Scholar Scraper
A. McCoy, Vanderbilt University Medical Center; D. Sittig, The University of Texas School of Biomedical Informatics at Houston; J. Lin, University of Waterloo; A. Wright, Brigham and Women's Hospital/Partners HealthCare/Harvard Medical School

2018 Salary Survey of AMIA Members: Factors Associated with Higher Salaries
Y. Cheng, George Washington University; A. Mohanty, University of Utah; O. Ogunyemi, University of California Los Angeles; C. Smith, University of Wisconsin; G. Leroy, University of Arizona; Q. Zeng, George Washington University

Growing Disparities in Use of Policy-supported eHealth Tools
J. Everson, E. Butler, Vanderbilt University School of Medicine; N. Senft, Vanderbilt University

The Potential Value of Electronic Health Records in Capturing Geriatric Frailty Variables
A. Bery, University of Ottawa; H. Kharrazi, Johns Hopkins University

Design of a Model-driven Gestational Hypertension Telemonitoring Application
D. Alves, Federal University of Pernambuco/UFPE, V. Times, UFPE; E. Silva, Recife Secretary of Health; M. Honorato, M. Novaes, Federal University of Pernambuco

Connected Personas: Translating the Complexity of Older Adult Personal Health Information Management for Designers of Health Information Technologies
D. Sakaguchi-Tang, A. Turner, J. Taylor, J. Kientz, University of Washington

Balancing Functionality Versus Portability for SMART on FHIR Applications: Case Study for a Neonatal Bilirubin Management Application
P. Kukhareva, P. Warner, S. Rodriguez-Loya, H. Kramer, C. Weir, C. Nanjo, D. Shields, K. Kawamoto, University of Utah

Using GPS to Locate the Missing and Track Wandering in People with Alzheimer’s Disease
J. Wojtusiak, R. Mogharabnia, George Mason University; U. Durai, Department of Veterans Administration; B. Middle, George Mason University; R. Koester, DBS-SAR; C. Tompkins, George Mason University

8:30 a.m. – 10:00 a.m.

Expanding the Precision Medicine Landscape: How to Prepare Providers Who Serve Underserved Minority Patients
R. Kukafka, M. Sin, T. Silverman, K. Crew, Columbia University

Bridging Research and Clinical Care: Real-time ePRO Adverse Event Real-time Reporting in a Phase II Breast Cancer Study
A. Asare, UCSF/Quantum Leap Healthcare Collaborative; S. Asare, Quantum Leap Healthcare Collaborative; A. Basu, University of California San Francisco; S. Dubman, J. Hong, L. Weiss, A. Wilson, D. McCabe, J. Matthews, K. DiGiorgio, Quantum Leap Healthcare Collaborative; M. Rocca, U.S. Food and Drug Administration; A. Chattopadhyay, G. Peterson, R. Singhrao, L. Esserman, M. Melisko, University of California San Francisco, C. Collins, OpenClinica; B. Parker, S. Brain, D. Heditsian, I-SPY Advocacy Group

Achievability to Extract Specific Date Information for Cancer Research
L. Wang, J. Wampfler, A. Angela Dispenzieri, Mayo Clinic; H. Xu, University of Texas Health Science Center at Houston; P. Yang, H. Liu, Mayo Clinic

Engaging with MSK Engage: A Digital Platform for Monitoring Patient Reported Outcomes in Oncology
P. Stetson, E. Bani, MSKCC, K. Shannon, N. Akella, O. Strachna, M. Allison, R. Reynolds Silverberg, J. Hagerty-Paglia, J. Philip, W. Narain, J. Fu, K. Seier, D. Boccamazzo, S. Kelson, M. Connor, R. Salvaggio, M. Eubank, MSKCC

Patient Messaging Content Associated with Initiating Hormonal Therapy after a Breast Cancer Diagnosis
Z. Yin, J. Warner, Q. Chen, B. Malin, Vanderbilt University

Interpretation of ‘Omics Dynamics in a Single Subject Using Local Estimates of Dispersion Between Two Transcriptomes
Q. Li, S. Rachid Zaim, D. Aberasturi, J. Berghout, H. Li, F. Vitali, C. Kenost, H. Zhang, Y. Lussier, University of Arizona

Facilitating Analysis of Publicly Available ChIP-Seq Data for Integrative Studies
A. Diwadkar, M. Kan, B. Himes, University of Pennsylvania

Simulation Study of Just-in-time Specimen Recruitment from University-wide e-Phenotypes of Interest
B. Hamidi, L. Lenert, A. Alekseyenko, Medical University of South Carolina

Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants
P. Dexter, Indiana University School of Medicine/Regenstrief Institute, Inc.; H. Ong, Vanderbilt University Medical Center; A. Elsey, University of Florida; G. Bell, Mission Health; N. Walton, Geisinger Health System; W. Chung, Columbia University; L. Rasmussen, Northwestern University; K. Hicks, Moffitt Cancer Center; A. Owusu-obeng, S. Scott, S. Ellis, Icahn School of Medicine at Mount Sinai; J. Peterson, Vanderbilt University Medical Center

Implementing the VMC Specification to Reduce Ambiguity in Genomic Variant Representation
M. Watkins, S. Rynearson, A. Henrie, K. Eilbeck, University of Utah

Transfer Learning from BERT to Support Insertion of New Concepts into SNOMED CT
H. Liu, Y. Perl, J. Geller, New Jersey Institute of Technology

Towards a Universal Document-level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse
D. Dligach, Loyola University Chicago; M. Afshar, Loyola University School of Medicine; T. Miller, Boston Children's Hospital

Leveraging Contextual Information in Extracting Long Distance Relations from Clinical Notes
H. Guan, M. Devarakonda, Arizona State University

EHR Sequencing: A Novel Approach for Constructing Predictive and Interpretable Data Representations from EHR Data
H. Estiri, Harvard Medical School; T. McCoy, Massachusetts General Hospital; S. Murphy, Harvard Medical School

Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients
T. Goodwin, D. Demner-Fushman, National Library of Medicine

A Sociotechnical Multiple Perspectives Approach to the Use of Medical Scribes: A Deeper Dive into the Scribe-provider Interaction
S. Corby, J. Gold, V. Mohan, N. Solberg, J. Becton, R. Bergstrom, B. Orwoll, C. Hoekstra, J. Ash, Oregon Health & Science University

An Interprofessional Approach to Workflow Evaluation Focused on the Electronic Health Record Using Time Motion Study Methods
J. Schwartz, Columbia University; J. Elias, Columbia University/New-York Presbyterian Hospital; C. Slater, S. Collins Rossetti, Columbia University; K. Cato, Columbia University/New-York Presbyterian Hospital

Foundations for Studying Clinical Workflow: Development of a Composite Inter-observer Reliability Assessment for Workflow Time Studies.
M. Lopetegui, Instituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clinica Alemana, Universidad del Desarrollo; P. Yen, P. Payne, Washington State University in St Louis; P. Embi, Indiana University School of Medicine

Organizational Diagnostics: A Systematic Approach to Identifying Technology and Workflow Issues in Clinical Settings
K. Unertl, L. Novak, J. Harris, C. Simpson, N. Lorenzi, Vanderbilt University Medical Center

Analysis of Cognitive Workflows in Primary Care Chart Review
M. Foreman, Y. Park, IBM Research; J. Sokolov, S. Miller, P. Tang, IBM Watson Health; A. Das, IBM Research

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Z. Cui, B. Fritz, C. King, M. Avidan, Y. Chen, Washington University in St Louis

Using Natural Language Processing to Improve EHR Structured Data-based Surgical Site Infection Surveillance
J. Shi, S. Liu, L. Pruitt, C. Luppens, University of Utah; J. Ferraro, Intermountain Healthcare/University of Utah; A. Gundlapalli, University of Utah/VA Salt Lake City Healthcare System; W. Chapman, B. Bucher, University of Utah

How Do Spinal Surgeons Perceive The Impact of Factors Used in Post-surgical Complication Risk Scores?
E. Parimbelli, University of Ottawa; S. Wilk, Poznan University of Technology; D. O'Sullivan, Technological University Dublin; S. Kingwell, The Ottawa Hospital; W. Michalowski, University of Ottawa; M. Michalowski, University of Minnesota

Perceived Usefulness and Acceptance of Communication Support System in Laparoscopic Surgery
Y. Feng, University of Maryland, Baltimore County; J. Chhikara, UnitedHealth Group; J. Ramsey, The Ohio State University; H. Mentis, University of Maryland, Baltimore County

A Principled Framework for Phenotyping Postpartum Hemorrhage Across Multiple Levels of Severity
M. Oberhardt, NewYork-Presbyterian Hospital; A. Friedman, Columbia University Irving Medical Center; R. Perotte, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center; J. Sheen, Columbia University Irving Medical Center; A. Kessler, Weill Cornell Medical Center; D. Vawdrey, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center; R. Green, NewYork-Presbyterian Hospital; M. D'Alton, D. Goffman, Columbia University Irving Medical Center/NewYork-Presbyterian Hospital

A Pragmatic Multi-system Opioid Use Disorder Computable Phenotype for the Emergency Department
D. Chartash, Yale University School of Medicine; H. Paek, Yale New Haven Health; B. Ross, University of North Carolina School of Medicine; D. James, N. Daniel, E. Boccio, ; O. Ahmed, C. Brandt, K. Couturier, E. Melnick, Yale University School of Medicine; C. Hines, A. Schott, M. Patel, T. Platts-Mills University of North Carolina School of Medicine; M. Jeffery, Mayo Clinic

Improving Delivery of Chronic Opioid Therapy (COT) in a Primary Care Internal Medicine Clinic: Quality Improvement Study
S. Ponnapalli, A. Johnson, S. LaCour, Arizona State University; B. Ruddy, H. Fields, Mayo Clinic; A. Murcko, A. Grando, Arizona State University; P. Davis, M. Wallace, Mayo Clinic

Piloting Telemedicine for Emergency Treatment of Opioid Use Disorder
J. Langabeer, K. Chambers, A. Yatsco, T. Champagne-Langabeer, University of Texas Health Science Center

Characterizing the Urban Opioid Epidemic Using EHR Data
A. Averitt, Columbia University; B. Slovis, Thomas Jefferson University; A. Tariq, NewYork-Presbyterian Hospital Value Institute; D. Vawdrey, NewYork-Presbyterian Hospital Value Institute/Columbia University; A. Perotte, Columbia University

Barriers, Facilitators, and Potential Solutions to Advancing Interoperable Clinical Decision Support: Multi-stakeholder Consensus Recommendations for the Opioid Use Case
L. Marcial, B. Blumenfeld, RTI International; C. Harle, Regenstrief Institute; X. Jing, Ohio University; M. Keller, Cedars-Sinai Medical Center; V. Lee, Clinical Architecture; Z. Lin, Zhen Research; A. Dover, First Databank, Inc.; A. Midboe, VA Palo Alto Health Care System/Stanford University; S. Al-Showk, E. Lomotan, AHRQ; V. Bradley, Bradley HIT Consulting; J. Breen, First Databank, Inc.; M. Fadden, Cerner Corporation; L. Marco-Ruiz, Norwegian Centre for E-Health Research; R. Mohamed, First Databank, Inc.; P. O'Connor, Health Partners Institute; D. Rosendale, Deloitte Consulting; H. Solomon, Retired; K. Kawamoto, University of Utah

10:30 a.m. – 12:00 p.m.

Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department
C. Chiew, National University Health System; H. Wang, National University of Singapore/National University Health System; M. Ong, Singapore General Hospital/Singapore Health Services/National University of Singapore; T. Wong, Z. Koh, Singapore General Hospital; N. Liu, Singapore Health Services/National University of Singapore; F. Mengling, National University of Singapore/National University Health System

Complexities of Finite State Machines to Streamline Inpatient Sepsis Management
S. Saleh, S. McDonald, M. Basit, UT Southwestern Medical Center

Comparison of Smart Contract Blockchains for Healthcare Applications
H. Yu, University of California San Diego; H. Sun, Syracuse University; D. Wu, T. Kuo, University of California San Diego

Applying Blockchain Technology to Enhance Clinical Trial Recruitment
Y. Zhuang, L. Sheets, University of Missouri Columbia; Z. Shae, Y. Chen, J. Tsai, Asia University; C. Shyu, University of Missouri Columbia/Asia University

A Visual Consideration of Sepsis Deaths and Non-sepsis Deaths with a Finely Graduated Measure of Patient Acuity: Should We Just Focus on Who is Sick?
M. Rothman, K. Belk, PeraHealth; R. Fogerty, Yale New Haven Hospital

Predicting Nocturnal Hypoglycemia from Continuous Glucose Monitoring Data with Extended Prediction Horizon
L. Vu, S. Kefayati, T. Ide, V. Pavuluri, G. Jackson, L. Latts, IBM; Y. Zhong, P. Agrawal, Medtronic; Y. Chang, IBM

Detecting Seasonal, Holiday, and Rare Events from Trauma Data in the Electronic Health Record
T. Bergquist, V. Pejaver, N. Hammarlund, S. Mooney, S. Mooney, University of Washington

Towards Machine-learning Informed Early Detection of Dementia in UK Primary Care
E. Ford, Brighton and Sussex Medical School; J. Starlinger, Charité – Universitätsmedizin Berlin/Humboldt-Universität zu Berlin

A New Representation of Disease Conditions and Treatment Pathways Accurately Predicts Mortality and Chronic Diseases
C. Ngufor, P. Caraballo, T. O’Byrne, D. Chen, N. Shah, M. Steinbach, G. Simon, University of Minnesota

Linear Algebra and Public Health: Identifying Areas of High Healthcare Needs through the Markov Chain Ranking Method
A. Tariq, B. Ryan-Lora, A. Nieto, K. Tang, D. Vawdrey, NewYork-Presbyterian Hospital

A Deep Learning-based Survival Model for Prediction of Progression in Late Age-related Macular Degeneration (AMD) from Color Fundus Photographs
Y. Peng, National Institutes of Health; T. Keenan, National Eye Institute; Q. Chen, National Institutes of Health; E. Agrón, W. Wong, E. Chew, National Eye Institute; Z. Lu, National Institutes of Health

Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-study
I. Banerjee, Stanford University School of Medicine/Emory School of Medicine; M. Sofela, T. Amrhein, Duke University; D. Rubin, M. Lungren, Stanford University School of Medicine; R. Zamanian, Stanford University

An Analysis of the Lexical Structure of Documented Communicative Information Surrounding the Abdominal Roentgenogram Ordered in the Neonatal Intensive Care Unit
J. McPadden, D. Chartash, K. Zawack, Yale University

Towards Interpretable Skin Lesion Classification with Deep Learning Models
A. Xiang, Horace Greeley High School; F. Wang, Weill Cornell Medical College

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study
P. Adekkanattu, Weill Cornell Medicine; G. Jiang, Mayo Clinic; Y. Luo, Northwestern University; P. Kingsbury, R. Kiefer, D. Stone, Mayo Clinic; Z. Xu, Weill Cornell Medicine; L. Rasmussen, J. Pacheco, L. Yao, Y. Zhong, Y. Deng, Northwestern University; P. Brandt, Washington University; F. Wang, J. Ancker, T. Campion, J. Pathak, Weill Cornell Medicine


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