AMIA 2020 Annual Symposium Oral Presentations

4:00 p.m. – 5:30 p.m. ET


STAN-CT: Standardizing CT Image Using Generative Adversarial Networks
M. Selim, J. Zhang, University of Kentucky; B. Fei, University of Texas at Dallas, UT Southwestern Medical Center; G. Zhang, The University of Texas Health Science Center at Houston; J. Chen, University of Kentucky

Extracting and Learning Fine-grained Labels from Chest Radiographs
T. Syeda-Mahmood, K. Wong, J. Wu, O. Boyko, IBM Almaden Research Center

Detection of Reticular Pseudodrusen Using Deep Learning
Q. Chen, T. Keenan, Y. Peng, E. Agrón, C. Hwang, A. Thalikulwat, D. Lee, W. Wong, E. Chew, Z. Lu, National Institutes of Health

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity
A. Coyner, J. Chen, J. Campbell, S. Ostmo, Oregon Health & Science University; P. Singh, J. Kalpathy-Cramer, Massachusetts General Hospital, Harvard Medical School, Massachusetts General Hospital & Brigham and Women’s Hospital Center for Clinical Data Science; M. Chiang, Oregon Health & Science University

AI Accelerated Human-in-the-Loop Structuring of Radiology Reports
J. Wu, IBM Almaden Research Center; A. Syed, IBM Almaden Research Center, Stanford Medicine; H. Ahmad, A. Pillai, Y. Gur, A. Jadhav, D. Gruhl, L. Kato, M. Moradi, T. Syeda-Mahmood, IBM Almaden Research Center
 

Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR
F. Diaz-Garelli, University of North Carolina at Charlotte; K. Lenoir, B. Wells, Wake Forest School of Medicine

Toward a Harmonized WHO Family of International Classifications Content Model
S. Tu, C. Nyulas, T. Tudorache, M. Musen, Stanford University; A. Martinuzzi, IRCCS E. Medea Scientific Institute; C. van Gool, National Institute for Public Health and the Environment; V. Della Mea, University of Udine; C. Chute, Johns Hopkins University; L. Frattura, Regione Friuli Venezia Giulia; N. Hardiker, University of Huddersfield; H. ten Napel, National Institute for Public Health and the Environment; R. Madden, C. Sykes, University of Sydney; A. Almborg, National Board of Health and Welfare; J. Ginige, Western Sydney University; C. Çelik, R. Jakob, World Health Organization

Medical Concept Normalization via Description Prediction
K. Lee, S. Henry, O. Uzuner, George Mason University

Amplifying Domain Expertise to Combat Antimicrobial Resistance
P. Rahman, A. Nandi, E. Hade, E. Patterson, The Ohio State University; C. Hebert, The Ohio State University Wexner Medical Center

Informatics Architecture for Phenotyped Microbiome Data Generation from Just-in-Time Clinical Microbiology Specimens from CTSA Network Producers
A. Alekseyenko, Medical University of South Carolina
 

Developing and Validating a Model for Detecting Tension in the Electronic Problem List
C. Hodge, S. Narus, Intermountain Healthcare, University of Utah; G. Stoddard, University of Utah

Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System
L. Nocera, A. Vistoso Monreal, University of Southern California; Y. Yoshida, Y. Abe, Showa University School of Dentistry; C. Nwoji, G. Clark, University of Southern California

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Non-conforming Individuals and Subgroups
Y. Guo, X. He, T. Lyu, H. Zhang, Y. Wu, X. Yang, Z. Chen, M. Markham, F. Modave, University of Florida; M. Xie, University of Tennessee at Chattanooga; W. Hogan, C. Harle, E. Shenkman, J. Bian, University of Florida

A Highly Accurate Method for Quantifying LVNC Cardiomyophaty
G. Bernabé, J. Casanova, University of Murcia; G. Casas, Hospital Vall d'Hebron; J. González-Carrillo, Hospital Virgen of Arrixaca

HistoriView: An Interactive and Scalable Visual Exploratory Plugin for Longitudinal Patient Data Review
H. Park, Mass General Brigham; T. Wang, Mass General Brigham, Massachusetts General Hospital, Harvard Medical School; V. Gainer, V. Castro, N. Wattanasin, Mass General Brigham; S. Murphy, Mass General Brigham, Massachusetts General Hospital, Harvard Medical School
 

End User Information Needs for a SMART on FHIR-based Automated Transfer Form to Support the Care of Nursing Home Patients During Emergency Department Visits
J. Vest, Indiana University Richard M Fairbanks School of Public Health, Regenstrief Institute, Inc.; M. Unruh, Weill Cornell Medical College; K. Ellis Hilts, L. Sanner, Indiana University Richard M Fairbanks School of Public Health; J. Jones, S. Khokhar, Regenstrief Institute, Inc.; H. Jung, Weill Cornell Medical College

Patient-focused Web-based Health Tool Facilitating Self-identification and Self-disclosure of Elder Mistreatment in the Emergency Department Setting
F. Abujarad, Yale University School of Medicine; E. Choo, Oregon Health & Science University; M. Pantalon, K. Jubanyik, D. James, C. Edwards, G. D'Onofrio, T. Gill, Yale University School of Medicine

Healthcare Contacts Among Patients with Psychiatric Hospitalization Admitted Through the Emergency Department
W. Xi, S. Banerjee, Weill Cornell Medicine; R. Penfold, G. Simon, Kaiser Permanente; G. Alexopoulos, J. Pathak, Weill Cornell Medicine

Simulating Teamwork for Better Decision Making in Emergency Medical Services
M. Ozkaynak, University of Colorado; C. Dolen, Y. Dollin, School of Medicine, University of Colorado; K. Kothari, K. Adelgais, University of Colorado

The Association of Encounter- And Hospital-level Characteristics with Health Information Exchange in Emergency Department Encounters: A Longitudinal Log File Analysis.
S. Rahurkar, The Ohio State University, The Ohio State Wexner Medical Center; J. Vest, Indiana University Richard M. Fairbanks School of Public Health; J. Finnell, Regenstrief Institute, Inc.; B. Dixon, Indiana University Richard M. Fairbanks School of Public Health
 

Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields
S. Grannis, Indiana University, Regenstrief Institute, Inc.; X. Li, H. Xu, Indiana University; T. Ong, M. Kahn, University of Colorado; L. Lembcke, Regenstrief Institute, Inc.; S. Kasthurirathne, Indiana University, Regenstrief Institute, Inc.

Utilizing Encrypted Hashes to Link Patient Cohorts via Streamlined SAS Programs
R. Bradford, S. Dard, E. Pfaff, A. Krishnamurthy, University of North Carolina at Chapel Hill

Development of A Blockchain Framework for Virtual Clinical Trials
Y. Zhuang, L. Sheets, X. Gao, Y. Shen, University of Missouri Columbia; Z. Shae, J. Tsai, Asia University; C. Shyu, University of Missouri Columbia, Asia University

More than a Database: Understanding Community Resource Referrals within a Socio-technical Systems Framework
B. Lott, University of Michigan School of Information, University of Michigan School of Public Health; C. Eddy, C. Casanova, University of Michigan School of Information; T. Veinot, University of Michigan School of Information, University of Michigan School of Public Health

Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS
M. Boland, L. Davidson, S. Canelón, J. Meeker, T. Penning, J. Holmes, J. Moore, University of Pennsylvania
 

Improving the Utility of Tobacco-related Problem List Entries Using Natural Language Processing
D. Harris, D. Henderson, A. Corbeau, University of Kentucky

A Preliminary Characterization of Canonicalized and Non-canonicalized Section Headers Across Variable Clinical Note Types
J. Wang, University of Pennsylvania; S. Yu, Penn Medicine; D. Mowery, University of Pennsylvania

The Anatomy of Clinical Documentation: An Assessment and Classification of Narrative Note Sections Format and Content
T. Colicchio, P. Dissanayake, J. Cimino, University of Alabama at Birmingham

Extracting Patient Genetic Information from Unstructured Clinical Notes
Y. Zhao, H. Yu, L. Carlson, F. Shen, S. Fu, H. Liu, C. Wang, Mayo Clinic

Study of the Temporal Impact of Renal Transplantation on End Stage Renal Disease Using Clinical Notes with a Data-driven Approach
Y. Lo, Brigham and Women's Hospital, Harvard Medical School, Taichung Veterans General Hospital; L. Wang, Brigham and Women's Hospital, Harvard Medical School; J. Lakin, Brigham and Women's Hospital, Harvard Medical School, Dana-Farber Cancer Institute; L. Zhou, Brigham and Women's Hospital, Harvard Medical School

10:00 a.m. – 11:30 a.m. ET


Statistical Impact of Sample Size and Imbalance on Multivariate Analysis  in silico and A Case Study in the UK Biobank
X. Zhang, R. Li, M. Ritchie, University of Pennsylvania

Prediction of Secondary Structure Population and Intrinsic Disorder of Proteins Using Multitask Deep Learning
Y. Xu, IBM Research Australia; A. Leier, T. Marquez-Lago, University of Alabama at Birmingham; J. Xie, Monash University; A. Jimeno Yepes, IBM Research Australia; J. Whisstock, C. Wilson, J. Song, Monash University

A Phylogenetic Approach to Analyze the Conservativeness of BRCA1 and BRCA2 Mutations
J. Lai, Brown University; I. Sarkar, Brown University, Rhode Island Quality Institute

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
L. Liu, Z. Liu, H. Wu, Z. Wang, J. Shen, Y. Song, M. Zhang, Peking University

Analyzing Impact of Genomic Factors on HD Progression Through an Integrated Disease Progress Model
S. Dey, Z. Sun, IBM; A. Mohan, C. Sampaio, CHDI Foundation; J. Hu, IBM
 

Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations
Y. Lu, Pace University; X. Luo, Indiana University-Purdue University; Z. Zhang, Pace University; H. Ding, Indiana University-Purdue University; Z. He, Florida State University

What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis
L. He, University of California Irvine; C. He, Fudan University; Y. Wang, University of North Carolina at Chapel Hill; Z. Hu, K. Zheng, Y. Chen, University of California Irvine

Leveraging Digital Media Data for Pharmacovigilance
H. Farooq, J. Niaz, S. Fakhar, H. Naveed, National University of Computer & Emerging Sciences

Internet Access, Social Risk Factors, and Web-based Social Support Seeking Behavior: Assessing Correlates of the “Digital Divide” Across Neighborhoods in the State of Maryland
X. Ma, University of Toronto; E. Hatef, Johns Hopkins University; Y. Shaikh, Johns Hopkins School of Medicine; H. Kharrazi, J. Weiner, D. Gaskin, Johns Hopkins University

Crowd-diagnosis: When Patients Turn to Social Media to Obtain Clinical Diagnoses
A. Nobles, E. Leas, University of California San Diego; M. Dredze, Johns Hopkins University; C. Longhurst, D. Smith, J. Ayers, University of California San Diego
 

GoCom – A Goal-oriented Methodology for Treatment of Patients with Multimorbidity and Its Preliminary Evaluation
A. Kogan, M. Peleg, University of Haifa; S. Tu, Stanford University

Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms
R. Kamaleswaran, Emory University School of Medicine; J. Lian, D. Lin, H. Molakapuri, S. Nunna, P. Shah, Carnegie Mellon University; S. Dua, Allegheny Health Network; R. Padman, Carnegie Mellon University

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients
M. Lu, Massachusetts Institute of Technology; Z. Shahn, D. Sow, IBM; F. Doshi-Velez, Harvard University; L. Lehman, Massachusetts Institute of Technology

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis
F. Amrollahi, S. Shashikumar, University of California San Diego; F. Razmi, Emory University; S. Nemati, University of California San Diego

Variations among Electronic Health Record and Physiologic Streaming Vital Signs for Use in Predictive Algorithms in Pediatric Severe Sepsis
A. Dziorny,. Lindell, J. Fitzgerald, C. Bonafide, Children's Hospital of Philadelphia
 

Modeling Disease Progression Trajectories from Longitudinal Observational Data
B. Kwon, IBM Research; P. Achenbach, Helmholtz Zentrum München; J. Dunne, Juvenile Diabetes Research Foundation; W. Hagopian, University of Washington; M. Lundgren, Lund University; K. Ng, IBM Research; R. Veijola, University of Oulu; B. Frohnert, University of Colorado; V. Anand, IBM Research

Characterization and Comparison of Embedding Algorithms for Phenotyping across a Network of Observational Databases
C. Pang, R. Chen, H. Reyes Nieva, K. Kalluri, T. Sun, X. Jiang, V. Rodriguez, P. Ryan, K. Natarajan, Columbia University

High-throughput Phenotyping with EHR Sequences
S. Murphy, H. Estiri, Z. Strasser, K. Wagholikar, Harvard Medical School; V. Castro, Massachusetts General Hospital

Insights into the Value of Clinical Notes from Measuring Production and Consumption Patterns
J. Adler-Milstein, J. Gong, R. Thombley, University of California San Francisco

Patient-specific Modeling with Personalized Decision Paths
A. Johnson, G. Cooper, S. Visweswaran, University of Pittsburgh

 

12:00 p.m. – 1:30 p.m. ET


AllergyMap: An Open Source Corpus of Allergy Mention Normalizations
A. Wang, J. Osborne, M. Danila, University of Alabama at Birmingham; A. Naidech, D. Liebovitz, Northwestern University

Deep Learning to Detect Allergy Events from Hospital Safety Reports
J. Yang, L. Wang, Brigham and Women's Hospital, Harvard Medical School; N. Phadke, Massachusetts General Hospital, Harvard Medical School; P. Wickner, Brigham and Women's Hospital, Harvard Medical School; C. Mancini, K. Blumenthal, Massachusetts General Hospital, Harvard Medical School; L. Zhou, Brigham and Women's Hospital, Harvard Medical School

Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing
J. Osborne, J. Booth, T. O'Leary, A. Mudano, G. Rosas, P. Foster, K. Saag, M. Danila, University of Alabama at Birmingham

An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy
Y. Li, Ping An Healthcare Technology; T. Chen, Nanjing University School of Medicine; T. Chen, X. Li, Ping An Healthcare Technology; C. Zeng, Z. Liu, Nanjing University School of Medicine; G. Xie, Ping An Healthcare Technology

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology
Y. Li, B. Liu, V. Anand, M. Lundgren, Lund University; K. Ng, IBM Research; M. Rewers, University of Colorado; R. Veijola, University of Oulu; M. Ghalwash, IBM Research
 

We’re Lost, But We are Making Good Time: Navigating Complex Pathways in a Patient-Order Management Task
B. Duncan, A. Kassis, Arizona State University; D. Kaufman, SUNY Downstate Health Sciences University; A. Grando, L. Zheng, Arizona State University; R. Helmers, T. Miksch, Kern Center Informatics and Knowledge Management; K. Poterack, Mayo Clinic; B. Doebbeling, Arizona State University

 

Capturing Clinician Reasoning in Electronic Health Records: An Exploratory Study of Under-Treated Essential Hypertension
J. Cimino, H. Martin, T. Colicchio, University of Alabama at Birmingham

W-EHR's the "Hidden" Decision Maker? A Novel Service-Based Approach to Supervising Resident Role Attribution
M. Wang, B. Rosner, J. Gong, J. Adler-Milstein, G. Rosenbluth, University of California San Francisco

Utilization of BPM+ Health for the Representation of Clinical Knowledge: A Framework for the Expression and Assessment of Clinical Practice Guidelines (CPG) Utilizing Existing and Emerging Object Management Group (OMG) Standards
R. Lario, University of Utah, Veterans Administration; S. Hasely, University of Pittsburgh Medical Center; S. White, Stevens Institute of Technology; K. Eilbeck, K. Kawamoto, University of Utah; R. Soley, Object Management Group (OMG); S. Huff, University of Utah, Intermountain Health

Guideline Snapshots: A Screening Tool for Determining Guideline Relevance
J. Michel, The University of Pennsylvania, ECRI, The Children's Hospital of Philadelphia; A. Wert, K. Mathews, ECRI; M. Leafe, ECRI, St. Joseph’s University; A. Mujahid, J. Kaczmarek, ECRI


Evaluating the Coverage of the HL7 ®  FHIR ®  Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies
M. Garza, University of Arkansas for Medical Sciences, University of Texas Health Science Center at Houston; M. Rutherford, University of Arkansas for Medical Sciences; S. Myneni, S. Fenton, University of Texas Health Science Center at Houston; A. Walden, Oregon Health & Science University; U. Topaloglu, Wake Forest University School of Medicine; E. Eisenstein, K. Kumar, K. Zimmerman, Duke University; M. Rocca, S. Gordon, U.S. Food and Drug Administration; S. Hume, Clinical Data Interchange Standards Consortium; Z. Wang, M. Zozus, University of Texas Health Science Center at San Antonio

Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data
H. Solbrig, D. Jiao, Johns Hopkins University; E. Prud’hommeaux, Janeiro Digital, W3C, Massachusetts Institute of Technology; D. Booth, Yosemite Project; C. Endle, D. Stone, G. Jiang, Mayo Clinic

FHIRing Up Federal Research Data Infrastructure: Implementations and Opportunities for Patient-centered Outcomes Research
S. Smith, A. Gonzales, U.S. Department of Health and Human Services

Challenges in Health Application Interoperability: Impact of Fast Healthcare Interoperability Resources in the Electronic Health Record
J. Thayer, D. Ferro, J. Zorc, L. Utidjian, R. Grundmeier, Children's Hospital of Philadelphia

Challenges in Exposing Legacy Data in the FHIR Standard at the Department of Veteran Affairs
J. Lyle, JP Systems; C. Hoang, A. Colon, Veterans Health Administration; L. Bertuzis, Veterans Affairs; H. Miller, Veterans Health Administration
 

Evaluating Commercially Available Mobile Apps for Depression Self-management
A. Myers, Weill Cornell Medical College Health Policy and Research; L. Chesebrough, Memorial Sloan Kettering Cancer Center; R. Hu, Weill M. Reading Turchioe, J. Pathak, R. Masterson Creber, Weill Cornell Medical College Health Policy and Research

The Age Limit Does Not Exist: A Pilot Usability Assessment of a SMS-messaging and Smartwatch-based Intervention for Older Adults with Depression
N. Benda, Weill Cornell Medicine; G. Alexopoulos, P. Marino, J. Sirey, D. Kiosses, Weill Cornell Medicine, Weill Cornell Institute of Geriatric Psychiatry; J. Ancker, Weill Cornell Medicine

The Centroid Cannot Hold: Comparing Sequential and Global Estimates of Coherence as Indicators of Formal Thought Disorder
W. Xu, J. Portanova, A. Chander, D. Ben-Zeev, T. Cohen, University of Washington

Digilego for Peripartum Depression: A Novel Patient-facing Digital Health Instantiation
A. Zingg, D. Rogith, J. Refuerzo, S. Myneni, University of Texas Health Science Center at Houston

Mental Health Comorbidity Analysis in Pediatric Patients with Autism Spectrum Disorder Using Rhode Island Medical Claims Data
K. Brown, Brown University; I. Sarkar, Brown University, Rhode Island Quality Institute; E. Chen, Brown University

 


TBD

2:00 p.m. – 3:30 p.m. ET


Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting
A. Butler, J. Lee, Columbia University College of Physicians & Surgeons; Y. So, L. Busacca, K. Marder, H. Ginsberg, D. Frederick, I. Castaneda, E. Guerrido, Columbia University; C. Weng, Columbia University College of Physicians & Surgeons

Desiderata for High Quality AMIA Presentation Files
Y. Ding, J. Geller, NJIT

Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis
L. Carlson, M. Jeffery, S. Fu, H. He, R. McCoy, Y. Wang, W. Hooten, J. St. Sauver, H. Liu, J. Fan, Mayo Clinic

Introducing Undergraduate Women to Biomedical Informatics through the AMIA First Look Program
A. McCoy, Vanderbilt University Medical Center; K. Williams, Indiana University, Regenstrief Institute; W. Chapman, University of Melbourne; V. Tiase, New York-Presbyterian Hospital; S. Rajamani, University of Minnesota; Y. Senathirajah, University of Pittsburgh Medical School; K. Unertl, Vanderbilt University Medical Center; T. Jones, Resurrection University; C. Hebert, The Ohio State University College of Medicine; K. Evans, AMIA, T. Bright, IBM Watson Health

Learning by Doing: Resident Physicians’ Use of Electronic Health Records
A. Holmgren, Harvard University; B. Lindeman, E. Ford, University of Alabama Birmingham
 

DeepCompete: A Deep Learning Approach to Competing Risks in Continuous-time Domain
Aastha, University of Southern California; P. Huang, Beijing University of Posts and Telecommunications; Y. Liu, University of Southern California

Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time
H. Estiri, Harvard Medical School; S. Vasey, Harvard University; J. Klann, Harvard Medical School; V. Castro, Massachusetts General Hospital, Brigham and Women’s Hospital; S. Murphy, Harvard Medical School, Massachusetts General Hospital, Brigham and Women’s Hospital

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection
X. Ding, T. Cohen, University of Washington

EffiCare: Better Prognostic Models via Resource-efficient Health Embeddings
N. Rethmeier, DFKI; N. Serbetci, S. Möller, Technische Universität Berlin, DFKI; R. Roller, DFKI

Adversarially-learned Balancing Weights for Causal Inference
A. Averitt, N. Vanitchanant, Columbia University; R. Ranganath, New York University; A. Perotte, Columbia University
 

Combining User Preferences and Health Needs in Personalized Food Recommendation
Y. Chen, C. Chen, IBM Research; M. Zaki, RPI

Can Personalized Mobile Technology Change Lifestyle Behavior? A Systematic Review and Meta-analysis
H. Tong, K. Dao, Australian Institute of Health Innovation, Macquarie University; S. Chan Moi Fat, Macquarie University; H. Gehringer, L. Laranjo, Australian Institute of Health Innovation, Macquarie University

Self-diagnosis through AI-enabled Chatbot-based Symptom Checkers: User Experiences and Design Considerations
Y. You, X. Gui, Pennsylvania State University

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications
Z. Su, M. Costa Figueiredo, J. Jo, K. Zheng, Y. Chen, University of California Irvine

Revealing Intention In Health-related Peer Interactions: Implications for Optimizing Patient Engagement In Self-health Management
T. Singh, University of Texas Health Science Center School of Biomedical Informatics; J. Wang, University of Texas Health Science Center; S. Myneni, University of Texas Health Science Center School of Biomedical Informatics

 

10:00 a.m. – 11:30 a.m. ET


What Do Patients and Caregivers Want? A Systematic Review of User Suggestions to Improve Patient Portals
T. Reynolds, University of California Irvine; N. Ali, University of Michigan, Ann Arbor; K. Zheng, University of California Irvine

Deep Semantic Embeddings and Clustering to Facilitate Identification of Transportation Barriers in Patient Portal Messages
M. Huang, J. Fan, Mayo Clinic

Caregiver Access of Online Medical Records: Implications for Policy, Practice, and Patient Portal Design
B. Lott, University of Michigan School of Public Health, University of Michigan School of Information; M. Raj, University of Michigan School of Public Health; J. Platt, University of Michigan Medical School; D. Anthony, University of Michigan School of Public Health

Designing Inpatient Portals to Support Patient Agency and Dynamic Hospital Experiences
S. Haldar, Northwestern University, University of Washington; M. Khelifi, S. Mishra, C. Apodaca, E. Beneteau, University of Washington; A. Pollack, Seattle Children's Hospital, University of Washington; W. Pratt, University of Washington

Use of Online Patient Portals Among U.S. Military Veterans with Mental Health Diagnoses
B. Etingen, Hines VA Hospital; T. Hogan, ENRM Veterans Hospital, University of Texas Southwestern Medical Center; R. Martinez, Hines VA Hospital; S. Shimada, ENRM Veterans Hospital, Boston University School of Public Health; K. Stroupe, F. Weaver, Hines VA Hospital, Loyola University Stritch School of Medicine; K. Nazi, Office of Connected Care; S. Connolly, ENRM Veterans Hospital, Harvard Medical School; J. Lipschitz, Brigham and Women’s Hospital, Harvard Medical School; B. Smith, Hines VA Hospital, Northwestern University Feinberg School of Medicine
 

Differentiating Decision Support Needs of Novice and Expert Nurses
K. Dunn Lopez, The University of Iowa; E. Martinez Soto, The University of Illinois at Chicago; J. Stifter, Rush University Medical Center; M. Kennedy, Deloitte; A. Johnson, The University of Illinois at Chicago; G. Keenan, University of Florida

Pressure Ulcer Injury in Unstructured Clinical Notes: Detection and Interpretation
M. Sotoodeh, Z. Gero, W. Zhang, R. Simpson, V. Hertzberg, J. Ho, Emory University

Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods
W. Song, M. Kang, Brigham and Women's Hospital, Harvard Medical School; L. Zhang, Columbia University; J. Garcia, Brigham and Women’s Hospital; D. Bates, P. Dykes, Brigham and Women's Hospital, Harvard Medical School

Information Needs of Skilled Nursing Facility Staff to Support Heart Failure Disease Management
C. Morrow, Colorado School of Public Health; B. Reeder, University of Missouri; M. Perraillon, Colorado School of Public Health; M. Ozkaynak, University of Colorado; H. Wald, SCL Health; L. Eber, J. Trojanowski, Colorado Medical Director's Association; C. Battaglia, Colorado School of Public Health; R. Boxer, Kaiser Permanente

Fall Prevention Information Model Validated Using Flowsheet Metadata
K. Lytle, Duke University Health System; B. Westra, University of Minnesota; M. Hook, Advocate Aurora Health; D. Ali, Grand Canyon University; L. Whittenburg, Health Informatics
 

Predicting Retention-in-care for PLWH in South Carolina by Integration of Clinical Care and Social Care Data and Machine Learning
B. Olatosi, X. Sun, J. Zhang, C. Liang, X. Li, University of South Carolina

Addressing Health Equity in the Healthcare System: Assessing the Impact of Neighborhood Characteristics on Healthcare Utilization in Baltimore City
J. Weiner, E. Hatef, H. Chang, C. Kitchen, H. Kharrazi, Johns Hopkins University

Common Vocabulary as a Basis For Immunization Tracking Guidelines
C. Scullion, Business Rule Solutions, LLC

Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform
S. Lee, Institute of Biomedical Informatics, National Yang-Ming University

Impact of Individual versus Geographic-area Measures of Socioeconomic Status on Health Associations Observed in the Behavioral Risk Factor Surveillance System
L. Leszinsky, S. Xie, A. Diwadkar, R. Greenblatt, R. Hubbard, B. Himes, University of Pennsylvania
 

Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context
P. Barry, S. Henry, George Mason University; M. Yetisgen, University of Washington; B. McInnes, Virginia Commonwealth University; O. Uzuner, George Mason University

Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems
A. Mitra, B. Rawat, University of Massachusetts Amherst; D. McManus, A. Kapoor, University of Massachusetts Medical School; H. Yu, University of Massachusetts Lowell/Bedford Veterans Affairs Medical Center/University of Massachusetts Medical School

Extracting Multi-dimensional Context for Medication Change Events in Clinical Narratives
D. Mahajan, J. Liang, IBM Research

RadLex Normalization in Radiology Reports
S. Datta, J. Godfrey-Stovall, K. Roberts, The University of Texas Health Science Center at Houston

Patient Cohort Retrieval using Language Models
S. Soni, K. Roberts, The University of Texas Health Science Center at Houston

 

12:00 p.m. – 1:30 p.m. ET


Learning Tasks of Pediatric Providers from Electronic Health Record Audit Logs
B. Jones, X. Zhang, B. Malin, Y. Chen, Vanderbilt University

Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia
J. Smith, A. Spann, A. McCoy, J. Johnson, D. Arnold, D. Williams, A. Weitkamp, Vanderbilt University Medical Center

The Children’s Oncology Planning for Emergencies (COPE) Tool: Prototyping with Caregivers of Children with Cancer
E. Mueller, A. Cochrane, C. Moore, A. Miller, S. Wiehe, Indiana University

Why Should I Trust You? Supporting the Sharing of Health Data in the Interprofessional Space of Child Development
S. Mikles, University of North Carolina, Chapel Hill; L. Snyder, J. Kientz, A. Turner, University of Washington

Derivation and Validation of Vasoactive-Inotrope Score Trajectory Groups in Critically Ill Children
E. Nicolaou, L. Sanchez-Pinto, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University

 


Patient Representation Learning from EHR: A Systematic Review
Y. Si, J. Du, The University of Texas Health Science Center at Houston; T. Miller, Boston Children’s Hospital; X. Jiang, K. Roberts, The University of Texas Health Science Center at Houston

Distinct Clusters of Patient Reported Outcome (PRO) Trajectories among Oncology Patients Receiving Chemotherapy
S. Bozkurt, A. Azad, M. Yilmaz, J. Brooks, D. Blayney, T. Hernandez-Boussard, Stanford University

Validation of Visual Rating Scales for Patient-reported Outcome Measurement
L. Grossman Liu, Columbia University; M. Reading Turchioe, A. Myers, J. Pathak, D. Vawdrey, Geisinger, Columbia University; R. Masterson Creber, Weill Cornell Medicine

A Descriptive Study of HIV Patients Highly Adherent to Antiretroviral Therapy
N. Williams, C. Mayer, V. Huser, National Library of Medicine

Patient Record Summarization Through Joint Phenotype Learning and Interactive Visualization
G. Levy-Fix, Corning Inc; J. Zucker, K. Stojanovic, Columbia University Medical Center; N. Elhadad, Columbia University
 

Recruiting Older Adult Participants Through Crowdsourcing Platforms: Mechanical Turk versus Prolific Academic
A. Turner, University of Washington; T. Engelsma, Amsterdam UMC; J. Taylor, R. Sharma, University of Washington; G. Demiris, University of Pennsylvania

Impact of Digitally-acquired Diagnostic Input from Peers on Primary Care Clinicians in Real-life Outpatient Cases: Results from a Randomized Trial
E. Khoong, V. Fontil, N. Rivadeneira, S. Nouri, K. Olazo, UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General; M. Hoskote, UCSF School of Medicine; S. Nundy, George Washington University School of Public Health, Accolade, Inc; C. Lyles, U. Sarkar, UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General

Contemporary Use of Real World Data for Clinical Trial Conduct
J. Rogers, J. Lee, Z. Zhou, Columbia University; P. Ryan, Columbia University, Observational Health Data Sciences and Informatics, Janssen Research and Development; G. Hripcsak, Columbia University, Observational Health Data Sciences and Informatics, New York-Presbyterian Hospital; C. Weng, Columbia University

Quantifying the Hidden Electronic Work of Clinical Communication in a Breast Cancer Cohort
B. Steitz, K. Unertl, Vanderbilt University; M. Levy, Rush University School of Medicine, Vanderbilt University

Identification of Common Data Elements from Pivotal FDA Trials
C. Mayer, N. Williams, V. Huser, National Library of Medicine
 

Do Patients Want to Manage their Health Information?
A. Stanhaus, D. Anthony, J. Platt, University of Michigan

Algorithmic Bias in Healthcare: Using Non-cost Clinical Outcomes to Overcome Racial Bias in Population Health Programs.
N. Raja, UCLA Health; C. Beam, Ursa Health

Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses
D. Gotz, J. Zhang, S. Kaul, University of North Carolina at Chapel Hill; G. Bobashev, RTI International; D. Borland, University of North Carolina at Chapel Hill, RENCI

Visualizing Inequities in Clinical Trials using ML Fairness Metrics
M. Qi, O. Cahan, Rensselaer Polytechnic Institute; M. Foreman, D. Gruen, A. Das, IBM Research; K. Bennett, Rensselaer Polytechnic Institute

Visualizing Vulnerability: Design and Usability of Interactive Mapping Tools for Global Health Preparedness
L. Snyder, P. Rabinowitz, D. Pigott,; A. Hartzler, University of Washington

 

2:00 p.m. – 3:30 p.m. ET


Deciphering Serous Ovarian Carcinoma Histopathology and Platinum Response by Convolutional Neural Networks
K. Yu, Harvard Medical School, Brigham and Women's Hospital; V. Hu, University of California San Diego; F. Wang, Stanford University; U. Matulonis, Dana-Farber Cancer Institute; G. Mutter, J. Golden, Brigham and Women's Hospital; I. Kohane, Harvard Medical School

Task-specific Ontology Generation for NLP-based Phenotype Extraction
A. Navitski, Memorial Sloan Kettering Cancer Center, Columbia University; P. Goyal, S. Ahsanuddin, S. Zheng, E. Joffe, Memorial Sloan Kettering Cancer Center

Risk Classification in Pediatric Acute Lymphoblastic Leukemia with Structured Data in Clinical Research Networks
H. Razzaghi, Children's Hospital of Philadelphia; J. Roy, Rutgers University; A. Batugo, C. Bailey, Children's Hospital of Philadelphia

Automated Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning
S. Gupta, A. Belouali, Georgetown University; N. Shah, Memorial Sloan Kettering Cancer Center; M. Atkins, MedStar Georgetown University Hospital; S. Madhavan, Georgetown University

A Mathematical Model to Predict the Diagnostics Periods for the Secondary Distant Metastases in Patients With ER/PR/HER2/Ki-67 Subtypes of Breast Cancer
E. Tyuryumina, A. Neznanov, National Research University Higher School of Economics; J. Turumin, Medical Center “For all Family”
 

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model
H. Zhang, J. Feng, A. Zeng, P. Payne, F. Li, Washington University in St Louis

A Reliable Machine Learning Approach Applied to Single-cell Classification in Acute Myeloid Leukemia
G. Nicora, R. Bellazzi, University of Pavia

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection
K. Wong, A. Jadhav, J. Wu, M. Moradi, T. Syeda-Mahmood, IBM Research

Do Traditional BMI Categories Capture Future Obesity? A Comparison with Trajectories of BMI and Incidence of Cancer
C. Watson, University of Manchester, Manchester Cancer Research Centre, NIHR Manchester Biomedical Research Centre; N. Geifman, University of Manchester

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model
A. Bompelli, University of Minnesota; J. Li, University of Texas Health Science Center; Y. Xu, Florida State University; N. Wang, T. Adam, R. Zhang, University of Minnesota; Y. Wang, Mayo Clinic; Z. He, Florida State University
 

Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19
J. Wang, K. Wang, J. Li, J. Jiang, Y. Wang, J. Mei, S. Li, IBM Research

How to Build a Virtual Clinic in Three Days: Rapid Scaling of a Video Visit Urgent Care Program for COVID-19 Response
M. Sakumoto, University of California San Francisco, Circle Medical; O. Boozarpour, University of California, San Francisco; E. McCune, University of California, San Francisco, Circle Medical; P. Nadler, E. Askin, University of California San Francisco

Comparing Clinical Characteristics of Influenza and Common Coronavirus Infections using Electronic Health Records
M. Cantor, D. Li, Regeneron Genetics Center

Consumer Engagement in Smartphone Supported Home-based Diagnostic Testing for Communicable Virus: Exploring flu@home
V. Lyon, University of Washington; C. LeRouge, P. Durneva, Florida International University; M. Thompson, University of Washington

Improving Inpatient Pediatric Influenza Vaccination Using a Clinical Decision Support Intervention
O. Elsayed-Ali, S. Kandaswamy, A. Shane, S. Jernigan, P. Lantis, Emory University; E. Masterson, Children's Healthcare of Atlanta; P. Shah, R. Blanco, S. Iyer, E. Orenstein, Emory University
 

Automated Revision of Medical Ontologies with Graph Neural Network Transfer Learning
H. Galioulline, A. Giovannini, IBM Research

Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets
D. Newman-Griffis, National Institutes of Health Clinical Center, The Ohio State University; G. Divita, B. Desmet, A. Zirikly, National Institutes of Health Clinical Center; C. Rosé, Carnegie Mellon University, National Institutes of Health Clinical Center; E. Fosler-Lussier, The Ohio State University

Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem
A. Rae, D. Pritchard, J. Mork, D. Demner-Fushman, National Library of Medicine

 


A Semantic Database for Integrated Management of Image and Dosimetric Data in Low Radiation Dose Research in Medical Imaging
B. Gibaud, M. Brenet, Inserm; G. Pasquier, B-COM Institute of Research and Technology; A. Vergara Gil, M. Bardiès, Inserm, UMR 1037 Inserm, Université Toulouse III Paul Sabatier; J. Stratakis, J. Damilakis, University of Crete; N. Van Dooren, J. Spaltenstein, O. Ratib, Institute of Translational Molecular Imaging

The CLinically Explainable Actionable Risk (CLEAR) Model
R. Chen, A. Averitt, O. Bear Don't Walk, S. Bhave, L. Grossman Liu, E. Mitchell, V. Rodriguez, P. Thangaraj, T. Sun, Columbia University

10:00 a.m. – 11:30 a.m. ET


Developing a Phenotype Risk Score for Opioid Adverse Events
L. Tang, S. Delozier, L. Bastarache, C. Walsh, J. Denny, Vanderbilt University Medical Center

Identifying Clinical Risk Factors of Opioid Use Disorder Using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network
J. Tong, University of Pennsylvania; Z. Chen, University of Florida; R. Duan, University of Pennsylvania; W. Lo-Ciganic, T. Lyu, J. Bian, University of Florida; C. Tao, The University of Texas Health Science Center at Houston; P. Merkel, H. Kranzler, Y. Chen, University of Pennsylvania

Effect of a Clinical Decision Support Alert Encouraging Prescribing of Naloxone for Patients at High Risk of Opioid Overdose
A. Wright, H. Rector, A. Teare, A. McCoy, T. Barrett, D. Edwards, D. Marcovitz, S. Nelson, Vanderbilt University Medical Center

Use of Electronic Health Record Technology in a National Sample of Hospitals that Provide Specialty Substance Use Disorder Care
M. Shields, G. Ritter, C. Horgan, Brandeis University; A. Busch, McLean Hospital, Harvard Medical School

Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder
S. Blackley, Partners HealthCare System; E. MacPhaul, B. Martin, Brigham and Women's Hospital; W. Song, Brigham and Women's Hospital, Harvard Medical School; J. Suzuki, Brigham and Women's Hospital; L. Zhou, Brigham and Women's Hospital, Harvard Medical School
 

Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-operative Opioid Prescribing: Development and Testing of Draft Specifications
A. Syrowatka, Brigham and Women's Hospital, Harvard Medical School; A. Pullman, W. Kim, Brigham and Women's Hospital; S. Lipsitz, Brigham and Women's Hospital, Harvard Medical School; M. Sainlaire, Brigham and Women's Hospital; W. Song, D. Bates, P. Dykes, Brigham and Women's Hospital, Harvard Medical School; T. Thai, Brigham and Women's Hospital

 


Development and Alpha Testing of Specifications for an Orthopedic Surgery Complications Electronic Clinical Quality Measure (eCQM)
P. Dykes, Brigham and Women's Hospital, Harvard Medical School; W. Kim, T. Christiansen, A. Businger, S. Lipsitz, Brigham and Women's Hospital, Harvard Medical School; A. Pullman, M. Sainlaire, T. Thai, Brigham and Women's Hospital; A. Syrowatka, D. Bates, Brigham and Women's Hospital, Harvard Medical School


Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning
W. Ogallo, S. Speakman, V. Akinwande, IBM Research Africa; K. Varshney, IBM Research T. J. Watson Research Center; A. Walcott, C. Wayua, K. Weldemariam, IBM Research Africa; C. Mershon, N. Orobaton, Bill & Melinda Gates Foundation

Preliminary Work on Estimated Mortality, Quality of Life, and Cost-effectiveness of Hormonal and Surgical Treatments for Transgender Persons in the United States
C. Kronk, University of Cincinnati ; J. Dexheimer, Cincinnati Children's Hospital Medical Center; M. Eckman, University of Cincinnati

Bringing Cultural Competency to the EHR: Lessons Learned Providing Respectful, Quality Care to the LGBTQ Community
A. Chittalia, H. Marney, S. Tavares, L. Warsame, A. Breese, D. Fisher, M. Stoppie, D. Coen, K. Zikowski, A. Shapiro, Geisinger Health System; D. Vawdrey, Geisinger Health System, Columbia University
 


A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure
F. Fahimi, Y. Guo, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR); S. Tong, A. Ng Hwee Koon, S. Ong Yu Bing, B. Choo, H. Weiling, S. Lee, Changi General Hospital; S. Ramasamy, P. Krishnaswamy, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR); W. Chow, O. Hong Choon, Changi General Hospital

Patient Choice of Telemedicine Increases Timeliness of Primary Care Visits
I. Graetz, Emory University; J. Huang, Kaiser Permanente Division of Research; E. Muelly, The Permanente Medical Group; A. Gopalan, C. Lee, M. Reed, Kaiser Permanente Division of Research

Can I Take a Break?: Facilitating In-home Respite Care for Family Caregivers of Older Adults
A. Min, Indiana University Bloomington; F. Currin, University of Iowa; G. Razo, University of California, Berkeley; K. Connelly, Indiana University Bloomington; P. Shih, Indiana University Bloomington

To Text or Not to Text? That is the Question
G. Alexander, Columbia University, University of Missouri Columbia; R. Harrell, S. Shumate, University of Missouri Columbia; M. Rothert, Mediprocity LLC; A. Vogelsmeier, L. Popejoy, M. Rantz, University of Missouri Columbia

Disparities in Telehealth Use among Patients with Limited English Proficiency in California
J. Rodriguez, Brigham and Women's Hospital; A. Saadi, L. Schwamm, Massachusetts General Hospital, Harvard Medical School; D. Bates, L. Samal, Brigham and Women's Hospital

 


Characterizing Database Granularity Using SNOMED-CT Hierarchy
A. Ostropolets, Columbia University; C. Reich, IQVIA; P. Ryan, Epidemiology Analytics, Janssen Research & Development; C. Weng, Columbia University; A. Molinaro, F. DeFalco, Epidemiology Analytics, Janssen Research & Development; J. Jonnagaddala, S. Liaw, University of New South Wales Sydney; H. Jeon, R. Park, Ajou University Graduate School of Medicine; M. Spotnitz, K. Natarajan, Columbia University; K. Kostka, G. Argyriou, IQVIA; R. Miller, A. Williams, Tufts Medical Center, Institute for Clinical Research and Health Policy Studies; E. Minty, University of Calgary; J. Posada, Stanford Center for Biomedical Informatics Research; G. Hripcsak, Columbia University, New York-Presbyterian Hospital

Building a Graph Representation of LOINC® to Facilitate its Alignment to French Terminologies
J. Nikiema, Université de Montréal, Bordeaux Population Health Research Center; F. Mougin, Bordeaux Population Health Research Center; V. Jouhet, Bordeaux Population Health Research Center, CHU de Bordeaux

A Lexical-based Approach for Exhaustive Detection of Missing Hierarchical IS-A Relations in SNOMED CT
F. Zheng, University of Kentucky, University of Texas Health Science Center at Houston; J. Shi, University of Kentucky; L. Cui, University of Texas Health Science Center at Houston

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study
X. Zuo, J. Li, B. Zhao, Y. Zhou, X. Dong, University of Texas Health School of Biomedical Informatics; J. Duke, Georgia Institute of Technology; K. Natarajan, G. Hripcsak, Columbia University; N. Shah, Stanford University; J. Banda, Georgia State University; R. Reeves, Tennessee Valley Healthcare System; H. Xu, University of Texas Health School of Biomedical Informatics

 


Comparison of Three International Terminologies for Medical Interventions and Procedures
K. Fung, J. Xu, National Library of Medicine; F. Ameye, National Institute for Health and Disability Insurance
 


EHR Conversion on the PreOp Care: A Pre-post Workflow Comparison
L. Zheng, B. Duncan, Arizona State University; D. Kaufman, SUNY Downstate Health Sciences University; S. Furniss, A. Grando, Arizona State University; K. Poterack, R. Helmers, Mayo Clinic; B. Doebbeling, Arizona State University

Sequential Analysis of Handoffs Using Mixed Methods
K. Blondon, University Hospitals of Geneva; P. Noghrehchi, B. Hilligoss, University of Arizona; M. Ozkaynak, University of Denver

Time-motion Examination of Electronic Health Record Utilization and Clinician Workflows Indicate Frequent Task Switching and Documentation Burden
A. Moy, J. Schwartz, J. Elias, Columbia University; S. Imran, NewYork-Presbyterian Hospital; E. Lucas, K. Cato, S. Collins Rossetti, Columbia University

Measuring Workload with a Modified NASA-TLX following Electronic Medication Management System Implementation in Hospital
R. Dabliz, University of Sydney; A. Ritchie, University of Sydney, Sydney Local Health District; J. Penm, University of Sydney; R. Burke, Sydney Local Health District; S. Poon, University of Sydney

Clinician Perceptions of Barriers and Facilitators to Effective Postoperative Handoffs
J. Abraham, A. Meng, T. Kannampallil, Washington University in St. Louis

 

12:00 p.m. – 1:30 p.m. ET


Identifying and Leveraging Public Data Sources with Structured Social Determinants of Health Information for Observational Health Research
I. Dankwa-Mullan, M. McKillop, M. Solomon, A. Preininger, IBM Watson Health; C. Roebuck, RxEconomics LLC; Y. Arriaga, J. George, IBM Watson Health; G. Jackson, IBM Watson Health, Vanderbilt University Medical Center; B. South, IBM Watson Health

Documentation of Social Determinants of Health in Healthcare Organizations in Perú: A field study to inform the development of a FHIR app
J. Silva Valencia, S. Escobar, Universidad Nacional Mayor de San Marcos; B. Viernes, M. Watkins, University of Utah; L. Rojas-Mezarina, National Institutes of Health, Universidad Nacional Mayor de San Marcos; V. Nguyen, Stratametrics LLC; H. Espinoza-Herrera, Universidad Nacional Mayor de San Marcos; D. Borbolla, University of Utah

Comparison of the Impact of Placed-based Social Determinants of Health on Claims-based Risk Adjustment Models Across Different Geographic Levels
H. Kharrazi, H. Chang, E. Hatef, J. Weiner, Johns Hopkins University

Screening Social Determinants of Health Using Health Information Exchange and Mobile Technology
M. Van Cain, University of Oklahoma School of Community Medicine; J. Faries, MyHealth Access Network; J. Homco, B. Lesselroth, University of Oklahoma School of Community Medicine; D. Kendrick, University of Oklahoma School of Community Medicine, MyHealth Access Network

Association Between Social Determinant of Health Z-Code Documentation with Emergency Department Admissions
L. McCormack, C. Madlock-Brown, University of Tennessee Health Sciences Center
 

Weak Supervision to Classify Unstructured Clinical Text for Current Suicidal Ideation
M. Cusick, P. Adekkanattu, T. Campion, E. Sholle, A. Myers, G. Alexopoulos, J. Pathak, Weill Cornell Medicine

Selection of Clinical Text Features for Classifying Suicide Attempts
R. Buckland, J. Hogan, E. Chen, Brown University

Leveraging Location Based Services for Analysis of Suicides in Rural Counties
B. Sly-Delgado, University of West Florida; M. Ghaffari, Florida State University; A. Gunjan, University of West Florida; C. Brandt, Yale University; J. Goulet, VA Connecticut Healthcare System; K. Wang, Yale University; A. Srinivasan, University of West Florida

Personal Informatics Interventions to Alleviate Emotional Symptoms in People with Advanced Cancer: A Meta-analysis
S. Gilbertson-White, V. Kamalumpundi, S. Saeidzadeh, N. Chi, R. Nair, University of Iowa

User-centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting
C. Reale, L. Novak, K. Robinson; C. Simpson, Vanderbilt University Medical Center; J. Ribeiro, Florida State University; J. Franklin, Florida State University; M. Ripperger, C. Walsh, Vanderbilt University Medical Center
 

Three Data-driven Phenotypes of Multiple Organ Dysfunction Syndrome Preserved from Early Childhood to Middle Adulthood
J. Ye, L. Sanchez-Pinto, Northwestern University

Inferring ADR causality by predicting the Naranjo Score from Clinical Notes
B. Rawat, A. Jagannatha, University of Massachusetts Amherst; F. Liu, University of Massachusetts Medical School; S. Belknap, Northwestern University; H. Yu, University of Massachusetts Amherst

Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping
H. Liu, New Jersey Institute of Technology; C. Yuan, A. Butler, Y. Sun, Columbia University; C. Weng, Columbia University

Identification of Patients with HIV from Electronic Health Records
S. May, University of Texas Health Science Center at Houston, Baylor College of Medicine; T. Giordano, Baylor College of Medicine; A. Gottlieb, University of Texas Health Science Center at Houston

Phenotype Concept Set Construction from Concept Pair Likelihoods
V. Rodriguez, T. Sun, P. Thangaraj, C. Pang, K. Kalluri, X. Jiang, K. Natarajan, P. Ryan, Columbia University
 

Knowledge Extraction and Prediction from Behavior Science Randomized Controlled Trials: A Case Study in Smoking Cessation
F. Bonin, M. Gleize, Y. Hou, D. Ganguly, IBM Research Europe; A. Finnerty, University College London; C. Jochim, A. Pascale, P. Tommasi, P. Mac Aonghusa, IBM Research Europe; S. Michie, University College London

Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models
B. Dandala, V. Joopudi, C. Tsou, J. Liang, P. Suryanarayanan, IBM Research

SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers
V. Ferreira, V. Pinheiro, Universidade de Fortaleza

Knowledge Extraction of Cohort Characteristics in Research Publications
J. Franklin, S. Chari, Rensselaer Polytechnic Institute; M. Foreman, IBM Research; O. Seneviratne, Rensselaer Polytechnic Institute; D. Gruen, A. Das, IBM Research; J. McCusker, ; D. McGuinness, Rensselaer Polytechnic Institute

Facilitating Information Extraction Without Annotated Data Using Unsupervised and Positive-unlabeled Learning
Z. Korach, Brigham and Women's Hospital, Harvard Medical School; S. Yerneni, Brigham and Women's Hospital; J. Einbinder, C. Kallenberg, CRICO Risk Management Foundation; L. Zhou, Brigham and Women's Hospital, Harvard Medical School
 

Artificial Intelligence Decision Support for Medical Triage
C. Marchiori, D. Dykeman, I. Girardi, A. Ivankay, K. Thandiackal, M. Zusag, A. Giovannini, IBM Research; D. Karpati, H. Saenz, Medgate AG

Easy Medication Reconciliation at Hospital Admission: The EzMedRec Decision Support System
B. Séroussi, Sorbonne University, AP-HP; M. Ghomari, Sorbonne University; G. Guézennec, Sorbonne University, Inserm; F. Federspiel, I. Debrix, AP-HP; J. Bouaud, AP-HP, Sorbonne University

Preliminary Qualitative and Quantitative Evaluation of DESIREE, a Decision Support Platform for the Management of Primary Breast Cancer Patients
S. Pelayo, University Hospital of Lille; J. Bouaud, AP-HP, LIMICS; C. Blancafort, LIMICS; J. Lamy, LIMICS; B. Sekar, Ulster University; N. Larburu, N. Muro, Vicomtech; A. Urruticoechea, J. Belloso, Fundación Onkologikoa; G. Valderas, S. Guardiola, ERESA; C. Ngo, HEGP; L. Teixeira, St Louis hospital; G. Guézennec, B. Séroussi, LIMICS

A Dashboard Prototype with Prediction Explanations to Facilitate Clinical Decision Support in Prognostication
L. Rossi, F. Zachariah, City of Hope National Medical Center

Transforming Primary Medical Research Knowledge into Clinical Decision Support Rules
P. Dexter, Regenstrief Institute, Inc., Indiana University School of Medicine; R. Grout, Regenstrief Institute, Inc., Indiana University School of Medicine, Eskenazi Health; P. Embi, Regenstrief Institute, Inc., Indiana University School of Medicine

3:45 p.m. – 5:15 p.m. ET


VANTAGE6: an Open Source priVAcy PreserviNg federaTed leArninG infrastructurE for Secure Insight eXchange
A. Moncada-Torres, F. Martin, M. Sieswerda, Integraal Kankercentrum Nederland (IKNL); J. van Soest, Maastricht University Medical Centre+; G. Geleijnse, Integraal Kankercentrum Nederland (IKNL)

GenoShare: Supporting Privacy-informed Decisions for Sharing Individual-level Genetic Data
J. Raisaro, Lausanne University Hospital; J. Troncoso-Pastoriza, EPFL; Y. El Zein, Lausanne University; M. Humbert, Armasuisse; J. Fellay, Lausanne University Hospital; C. Troncoso, J. Hubaux, EPFL

Privacy-preserving Methods for Vertically Partitioned Incomplete Data
Y. Deng, Emory University; X. Jiang, University of Texas Health Science Center; Q. Long, University of Pennsylvania

Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives
Y. Kim, P. Heider, S. Meystre, Medical University of South Carolina

Generating Electronic Health Records with Multiple Data Types and Constraints
C. Yan, Z. Zhang, Vanderbilt University; S. Nyemba, Vanderbilt University Medical Center; B. Malin, Vanderbilt University Medical Center, Vanderbilt University
 

Leverage Real-world Longitudinal Data in Large Clinical Research Networks for Alzheimer’s Disease and Related Dementia (ADRD)
R. Duan, University of Pennsylvania; Z. Chen, University of Florida; J. Tong, C. Luo, University of Pennsylvania; T. Lyu, D. Maraganore, J. Bian,  University of Florida; C. Tao, The University of Texas Health Science Center at Houston; Y. Chen, University of Pennsylvania

Using Real-world Data to Rationalize Clinical Trials Eligibility Criteria: a Case Study on Alzheimer’s Disease and Donepezil
Q. Li, Y. Guo, University of Florida; Z. He, Florida State University; H. Zhang, T. George, J. Bian, University of Florida

NeuroIntegrative Connectivity (NIC) Informatics Tool for Brain Functional Connectivity Network Analysis in Cohort Studies
S. Sahoo, Case Western Reserve University/University Hospitals Cleveland Medical Center; A. Gershon, N. Shafiabadi, Case Western Reserve University; G. Fernandez-BacaVaca, University Hospitals Cleveland Medical Center

Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach
J. Xu, F. Wang, Z. Xu, P. Adekkanattu, Weill Cornell Medicine; P. Brandt, University of Washington; G. Jiang, R. Kiefer, Mayo Clinic; Y. Luo, C. Mao, J. Pacheco, L. Rasmussen, Northwestern University; Y. Zhang, R. Isaacson, J. Pathak, Weill Cornell Medicine

Polygenic Mediation Analysis of Alzheimer’s Disease Implicated Intermediate Amyloid Imaging Phenotypes
Y. Eng, X. Yao, K. Liu, University of Pennsylvania; S. Risacher, A. Saykin, Indiana University; Q. Long, University of Pennsylvania; Y. Zhao, Yale University; L. Shen, University of Pennsylvania

 


Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute
J. Methot, G. Antell, R. Umeton, Dana-Farber Cancer Institute

Applying User-centered Design in the Electronic Health Record (EHR) to Facilitate Patient-centered Care in Oncology
C. Michael, H. Mittelstaedt, Y. Chen, Memorial Sloan Kettering Cancer Center; A. Desai, Memorial Sloan Kettering Cancer Center, Weill Cornell Graduate School of Medical Sciences; G. Kuperman, Memorial Sloan Kettering Cancer Center

Timely and Efficient AI Insights on EHR: System Design
P. Suryanarayanan, E. Epstein, A. Malvankar, B. Lewis, L. Degenaro, J. Liang, C. Tsou, D. Pathak, IBM Research

Assessing Clinical Staff Usability & Satisfaction with Documentation & Information Retrieval Prior to an Electronic Health Record Implementation
J. Elias, Columbia University Medical Center, NewYork-Presbyterian Hospital; A. Moy, Columbia University Medical Center; E. Lucas, Columbia University Medical Center, NewYork-Presbyterian Hospital; J. Schwartz, K. Cato, Columbia University; E. Abramson, J. Ancker, S. Bostwick, Weill Cornell Medical Center; S. Collins Rossetti, Columbia University Medical Center, Columbia University

Methods for Large-scale Quantitative Analysis of Scribe Impacts on Clinical Documentation
M. Hribar, H. Dusek, I. Goldstein, A. Rule, M. Chiang, Oregon Health & Science University

 


Multi-view Gradient Boosting Tree for Acute Kidney Injury Prediction and Modifiable Risk Factor Identification
X. Song, L. Patel, L. Waitman, M. Liu, University of Kansas Medical Center

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning
L. Zuo, Ping An Health Technology; X. Du, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Heart Health Research Center; W. Zhao, Ping An Health Technology; C. Jiang, S. Xia, L. He, R. Tang, R. Bai, C. Ma, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases; R. Liu, Heart Health Research Center; J. Dong, Beijing Anzhen Hospital, Capital Medical University; National Clinical Research Center for Cardiovascular Diseases; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, The First Affiliated Hospital of Zhengzhou University; X. Sun, G. Hu, G. Xie, Ping An Health Technology

 


Finding Causal Mechanistic Drug-Drug Interactions from Observational Data
S. Dey, IBM; P. Zhang, The Ohio State University; M. Ghalwash, C. Maduri, D. Sow, Z. Shahn, IBM

Neural Multi-task Learning for Adverse Drug Reaction Extraction
F. Liu, X. Zheng, University of Massachusetts Medical School; H. Yu, University of Massachusetts Lowell; J. Tjia, University of Massachusetts Medical School

Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning
M. Mardini, S. Nerella, University of Florida; A. Wanigatunga, Johns Hopkins University; S. Saldana, R. Casanova, Wake Forest University; T. Manini, University of Florida


Analysis of Machine Learning Models and Identification of Factors for Predicting Preventive Care Services Usage in a Direct Primary Care Setting
J. Snowdon, IBM Watson Health; C. Chen, IBM T. J. Watson Research Center; G. Kim, Johns Hopkins School of Medicine; J. George, T. Gagliardi, IBM Watson Health; M. Ball, IBM T. J. Watson Research Center, Johns Hopkins School of Medicine, University of Texas; S. Ballen, R-Health Inc; S. Bagchi, IBM T. J. Watson Research Center

Accelerating Development of Learning Healthcare Systems via Distantly Supervised Knowledge Discovery
A. Wen, S. Fu, F. Shen, H. Liu, J. Fan, Mayo Clinic

Implementing an IT-based Intervention to Improve Follow-up Rates of Abnormal Cancer Screening Results: Pre-implementation Perceptions of Primary Care Providers
C. Diamond, Massachusetts General Hospital; A. Wright, Vanderbilt University Medical Center; S. Atlas, T. Dang, Massachusetts General Hospital; L. Zhou, E. Orav, Brigham and Women's Hospital; S. Percac-Lima, A. Wint, K. Harris, J. Haas, Massachusetts General Hospital; E. Breslau, National Cancer Institute; A. Tosteson, Dartmouth College

Real-time Clinical Note Monitoring to Detect Conditions for Follow-up: a Case Study of Clinical Trial Enrollment in Drug-induced Torsades de Pointes and Stevens-Johnson syndrome
S. Delozier, P. Speltz, J. Brito, L. Tang, J. Wang, J. Smith, D. Giuse, E. Phillips, K. Williams, T. Strickland, G. Davogustto, D. Roden, J. Denny, Vanderbilt University Medical Center

A Surveillance Framework for Monitoring and Updating Clinical Prediction Models
S. Davis, T. Lasko, C. Walsh, M. Matheny, Vanderbilt University School of Medicine

 


Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes
C. Rose, Stanford University, VA Palo Alto Division; M. Noshad, Stanford University; R. Thombley, University of California San Francisco; J. Chiang, C. Corbin, M. Nguyen, Stanford University; V. Liu, Kaiser Permanente; J. Adler-Milstein, University of California, San Francisco; J. Chen, Stanford University

Lessons Learned from Assimilating Knowledge into Machine Learning to Forecast and Control Glucose in a Critical Care Setting
D. Albers, University of Colorado, Columbia University; M. Sirlanci Tuysuzoglu, M. Levine, California Institute of Technology; C. Der Nigoghossian, NewYork-Presbyterian; A. Stuart, California Institute of Technology; J. Claassen, G. Hripcsak, Columbia University; B. Gluckman, Pennsylvania State University

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation
Y. Kang, Ping An Health Technology

First Day of Life Prediction of Neonatal Intensive Care Unit Length of Stay
A. Mitelpunkt, Tel Aviv Medical Center, Cincinnati Children's Hospital Medical Center, Tel Aviv University; T. Frostig, Tel Aviv University; O. Kehat, Tel Aviv Medical Center; Y. Benjamini, Tel Aviv University; A. Weiss Meilik, Tel Aviv Medical Center

Advancing Symptom Science through Bipartite Networks: Applications to Precision Stroke Rehabilitation
B. Downer, I. Alvarado, M. Pappadis, W. Zhang, University of Texas Medical Branch; T. Reistetter, University of Texas Health San Antonio; L. Evangelista, Y. Kuo, S. Bhavnani, University of Texas Medical Branch
 

Coding Free-text Chief Complaints from a Health Information Exchange: A Preliminary Study
S. Karagounis, Brown University; I. Sarkar, Brown University, Rhode Island Quality Institute; E. Chen, Brown University

Health Information Exchange use During Dental Visits
H. Taylor, N. Apathy, J. Vest, Indiana University Fairbanks School of Public Health, Regenstrief Institute, Inc.

Diffusion of a Health Information Exchange Tool Across an Academic Medical Center
J. Everson, Vanderbilt University School of Medicine, Vanderbilt University; N. Askew, Vanderbilt University School of Medicine; A. McCoy, Vanderbilt University

Identifying Comparative Peer Facilities Using a K-Nearest Neighbor Algorithm Across Clinical, Structural, and Geographic Data Domains
M. Korvink, Premier Healthcare Alliance; F. Diaz-Garelli, The University of North Carolina at Charlotte; J. Martin, Premier Healthcare Alliance

Feasibility of Cross-platform EHR-Driven Phenotyping Using Clinical Quality Language
P. Brandt, University of Washington; R. Kiefer, Mayo Clinic; J. Pacheco, Northwestern University; P. Adekkanattu, E. Sholle, ; J. Xu, Z. Xu, J. Ancker, F. Wang, J. Pathak, Weill Cornell; F. Ahmad, Y. Luo, L. Rasmussen, Northwestern University; G. Jiang, Mayo Clinic
 

Assessing the Quality of Electronic Data for ‘Fit-for-Purpose’ by Utilizing Data Profiling Techniques Prior to Conducting a Survival Analysis for Adults with Acute Lymphoblastic Leukemia
V. Ngo, T. Keegan, B. Jonas, University of California Davis; M. Hogarth, University of California San Diego; K. Kim, University of California Davis

Validation of the Data Quality of a Tumor Board Registry Through Assessment of Clinicopathologic Survival Outcomes in Melanoma Patients
K. Ligtenberg, D. Chartash, M. Bosenberg, C. Brandt, Yale University

Electronic Measurement of a Clinical Quality Measure for Inpatient Hypoglycemic Events: A Multicenter Validation Study
C. Santos, Rush University Medical Center; C. Conover, Medical Research Analytics and Informatics Alliance; N. Shehab, Lantana Consulting Group; A. Geller, Centers for Disease Control and Prevention; Y. Guerra, H. Zhang, Cook County Health and Hospitals System; H. Kramer, W. Trick,  Loyola University Chicago; N. Kosacz, Medical Research Analytics and Informatics Alliance; D. Budnitz, Centers for Disease Control and Prevention

Understanding the Rhythm of Quality Improvement: Assessing the Impact of Intervention Tempo in Community Primary Care Practices
J. Ye, R. Zhang, J. Bannon, A. Wang, T. Walunas, A. Kho, N. Soulakis, Northwestern University

Development and Alpha Testing of Specifications for an Opioid Extended Use Electronic Clinical Quality Measure (eCQM)
A. Pullman, Brigham and Women's Hospital; A. Syrowatka, Brigham and Women's Hospital, Harvard Medical School; A. Businger, M. Sainlaire, Brigham and Women's Hospital; S. Lipsitz, D. Bates, Brigham and Women's Hospital, Harvard Medical School; T. Thai, W. Kim, P. Dykes, Brigham and Women's Hospital
 

Conversational Agents for Chronic Disease Self-Management: A Systematic Review
A. Griffin, Z. Xing, S. Khairat, Y. Wang, University of North Carolina at Chapel Hill; S. Bailey, Northwestern University; J. Arguello, A. Chung, University of North Carolina at Chapel Hill

Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings
M. Pediaditis, A. Ciubotaru, T. Brunschwiler, IBM Research Zurich; P. Hilfiker, T. Grunwald, Swiss Epilepsy Center; M. Häberlin, L. Imbach, C. Muroi, C. Strässle, E. Keller, University Hospital Zurich; M. Gabrani, IBM Research Zurich

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery
M. Zhang, Harvard University; X. Cheng, Tsinghua University; D. Copeland, Beth Israel Deaconess Medical Center; A. Desai, M. Guan, S. Yeung, Stanford University; G. Brat, Beth Israel Deaconess Medical Center

Fitbit “Bring Your Own Device” Data in the  All of Us Research Program
M. Holko, National Institutes of Health; F. Ratsimbazafy, K. Marginean, Vanderbilt University Medical Center; K. Natarajan, S. Cho, Columbia University; M. Begale, J. Schilling, Vibrent Health; D. Webster, Sage Bionetworks; S. Peters, Scripps Research Translational Institute; K. Gebo, National Institutes of Health; A. Ramirez, P. Harris, Vanderbilt University Medical Center

Towards motor evaluation of Parkinson’s Disease Patients Using Wearable Inertial Sensors
V. Anand, E. Bilal, IBM Research; B. Ho, Tufts Medical Center


Premier Sponsor


Sponsors



Student Paper Prize     AMIA Working Group Sponsors