AMIA 2021 Virtual Day Program
Tuesday, October 26, 2021
Please note: All times listed below for Virtual Day are in Pacific Time
Time (PDT) | |
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7:00 a.m. – 7:15 a.m | Welcome to Virtual Day |
7:30 a.m. - 9:00 a.m. | Panels and Oral Presentations |
9:30 a.m. - 11:00 a.m. | Panels and Oral Presentations |
11:30 a.m. - 1:00 p.m. | Panels and Oral Presentations |
1:30 p.m. - 3:00 p.m. | Panels and Oral Presentations |
3:15 p.m. - 4:30 p.m. | Poster Presentations |
Welcome and Overview
- Patricia C. Dykes, Board of Directors Chair and President of AMIA
- Adam Wilcox, AMIA 2021 Scientific Program Committee Chair
Panels
Informatics-izing the National Institutes of Health
Patricia Brennan; Michael Chiang; Joshua Denny; Zhiyong Lu; Clement McDonald
The National Institutes of Health recognizes the importance of biomedical informatics innovations in accelerating data-driven discovery in biomedical science, clinical care and patient self-management. Of key importance is accessing information in the electronic health record. In the past three years, the NIH has expressed its public commitment to encourage researchers to adopts informatics innovations such as common data elements (CDEs), the Fast Healthcare Interoperability Resource (FHIR) standard, and the United States Core Data for Interoperability (USCDI). Policy statements are most effective when they are accompanied by operational procedures and vocal leadership direction. The purpose of this panel is to demonstrate the strength of informatics know-how among the leadership of the NIH, identify existing commitments by the NIH to ensure accelerate the research value of clinical health records, and to glean insights of strategies the NIH should consider as they develop the informatics infrastructure for the future of biomedical discovery.
Making Health AI Work in the Real World: Strategies, Innovations, and Best Practices for Using AI to Improve Care Delivery
Pei-Yun (Sabrina) Hsueh; Marzyeh Ghassemi; Ziad Obermeyer; Suchi Saria; Karandeep Singh; Eric Topol
The increasing focus of AI on the frontier of clinical applications has led to the accumulation of evidence for tis clinical decision support across a wide range of specialties such as radiology, oncology, ophthalmology, and critical care. In recent years, FDA has published action plans for regulating AI/ML-Based Software as a Medical Device (SaMD) and approved more than 160 medical AI products5. Meanwhile, due to the sensitivity of clinical AI in producing unintended consequences such as incorrect diagnoses, unnecessary treatments, and racial disparities, there is also a growing concern on how to produce safe, reliable, and trustworthy AI for adaptive clinical decision support (Adaptive CDS) systems. In the emerging field of AI bias studies, the growing concern has yielded an increasing body of literature exploring the methodology of estimating the impact of bias and coming up with counter strategies. However, in real-life scenarios, oftentimes the implementation of such applications requires experience on the trenches for how best to embed the actionable insights in clinical workflows and warrant behavioral change and sustainable adoption from clinicians. In order to fulfill the potential of applying health AI to ensure patient safety in adaptive CDS systems, in this panel we have gathered top-notch thought leaders who are currently working on improving the use of AI/ML insights in clinical workflow for patient safety. The panel will be a fact-full discussion, with concrete examples of studies reflecting on what principles have we learned so far, as well as questions that need to be solved next. It will also report on the active on-going experiments that are expected to lead us to the next level of understanding towards a systematic framework.
Representation Requires Intentionality: Our Journey to Creating a Diverse Informatics Workforce
Kim Unertl; Yalini Senathirajah; Chinyere Agunwa; Oliver Bear Don't Walk IV; Tiffani Bright
Cultivating a diverse and inclusive workforce is critical for the biomedical informatics profession, both from a perspective of fairness and equity and to avoid technology that fails to address concerns of significant portions of the population or that introduces unintentional biases. However, having diversity and representation in the informatics workforce requires intentionality and deliberate action to combat systemic inequalities and requires intentional effort to ensure inclusive professional environments. This challenge is not unique to biomedical informatics, but actions are required in order to continue our work of transforming health and healthcare. This panel reports on the experiences of informaticians and data scientists across academic and industry settings in creating diverse and inclusive environments. The learning objectives include: 1) describe why a diverse workforce and inclusive working environments are critically important goals for the informatics field; 2) gain an understanding of lessons learned and best practices for broadening participation in informatics; and 3) learn about resources to support efforts to broaden participation in informatics.
Update from the National Library of Medicine
Patricia Brennan
Oral Presentations
Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record
- Jennifer Liang, IBM Research
Characterization of Electronic Health Record Documentation Shortcuts: Does the use of SmartPhrases increase efficiency in the Emergency Department?
- Rimma Perotte, Hackensack University Medical Center
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation
- Wilson Lau, University of Washington
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework
- Kevin Lybarger, University of Washington
Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations
- Ingroj Shrestha, The University of Iowa
Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL)
- Mohamed Ghalwash, IBM
Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies
- Erin Kennedy, University of Pennsylvania
Outpatient Portal Use in Pregnant Women for Blood Glucose Management
- Priti Singh, The Ohio State University
Impact of a Clinical Decision Support Tool for Cardiovascular Preventive Care in Community Health Centers: Randomized Trial Results
- Rachel Gold, KPCHR, OCHIN
Systematic replication of smoking disease associations in the All of Us Research Program
- David Schlueter, NHGRI
Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence
- Florian Borchert, Digital Health Center, Hasso Plattner Institute
Discovering Associations between Social Determinants and Health Outcomes: Merging Knowledge Graphs from Literature and Electronic Health Data
- Yoonyoung Park, IBM Research
Identifying Sleep-Related Factors for Cognitive Function in a Hispanics/Latinos Cohort: A Dual Random Forest Approach
- Xiaojin Li, The University of Texas Health Science Center at Houston
Augmenting Barbershop Initiative Health Promotion with Wearables in African-American Populations
- Lisa Anne Bove, UNCW
The impact of COVID-19 pandemic on health information sharing and patient-generated health data: findings from the Health Information National Trends Survey 2020
- Zidan Wang, Northwestern University
Trust and credibility of information sources related to COVID-19 among high-risk diverse adults at the onset of the New York City outbreak: A cross-sectional survey conducted via a community health portal
- Rita Kukafka, Columbia University, Department of Biomedical Informatics
Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being in London before and during the COVID-19 Pandemic
- Olanrewaju Aduragba, Durham University
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
- Ivan Girardi, IBM
Using informatics framework to identify barriers and enablers for practice facilitation in primary care quality improvement
- Jiancheng Ye, Northwestern
Feasibility of using machine learning on insurance claims to identify correlates of lower extremity amputation in insured adults with type 2 diabetes who initiate treatment with sodium-glucose co-transporter 2 (SGLT-2) inhibitors
- Yuan Luo, Northwestern University at Chicago
Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient notes
- Marie Humbert-Droz, Stanford University
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization
- Ashutosh Jadhav, IBM Research
Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection
- Daniel Le, NIH/NLM/LHC
Outcome Prediction from Behaviour Change Intervention Evaluations using a Combination of Node and Word Embedding
- Martin Gleize, IBM Research
TeamTat: A Collaborative Text Annotation Tool for Creating Gold-Standard Corpora/NLM-Chem, a Gold-Standard Corpus for Chemical Entity Recognition in PubMed Full Text Literature
- Rezarta Islamaj, National Library of Medicine/ National Institutes of Health
Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention
- Susan Peterson, MD Anderson Cancer Center
Older adults’ personal health information management: The role and perspective of various healthcare providers
- Alyssa Bosold, University of Washington
Children's Designs for the Future of Telehealth
- Erin Beneteau, University of Washington
iCardia4HF (Phase I clinical trial): Feasibility and efficacy of using commercially available mHealth technologies and tailored text messages to improve self-care in patients with heart failure
- Spyros Kitsiou, University of Illinois at Chicago
Challenges to Public Health Reporting Experienced by Hospitals
- Chelsea Richwine, ONC
Extraction of Electronic Health Record Data from FHIR for Automated Breast Cancer Risk Assessment
- Julia McGuinness, Columbia University Irving Medical Center
Enhancing the IDEAS Framework with Ontology: Designing Digital Interventions for Improving Cancer Patients' Wellbeing
- Mor Peleg, University of Haifa
Semantic Search for Large Scale Clinical Ontologies
- Hoa Ngo, The Australian E-Health Research Centre
Towards more patient friendly clinical notes through language models and ontologies
- Francesco Moramarco, Babylon Health
Can ICD-11 Replace ICD-10-CM for Morbidity Coding in the U.S.?
- Kin Wah Fung, US National Library of Medicine
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology
- Jonathan Epperlein, IBM Research Europe
A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology
- Rashmie Abeysinghe, University of Texas Health Science Center at Houston
First-line drug resistance profiling of Mycobacterium tuberculosis: a machine learning approach
- Stephanie Muller, IBM
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer
- Mohan Timilsina, Data Science Institute, National University of Ireland Galway
Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine
- Grace Y.E. Kim, Stanford University
Posters
Machine Learning for Predicting Hospital Acquired Pressure Injuries in ICU Patients: From Explainable AI to Ensemble Super Learners
- Jenny Alderden, University of Utah College of Nursing
Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study
- Alexander Alekseyenko, Medical University of South Carolina
COVID-19 Trial eSource Data Capture Efficiencies using OneSource
- Adam Asare, UCSF / Quantum Leap Health Care
Challenges in Designing A Notification System for Electronic Medical Records: an Exploration of User Expectations
- Katherine Blondon, University Hospitals of Geneva
Development of a multi-class deep-learning algorithm capable of diagnosing many histopathologic entities in digital pathology
- Gregory Brown, NIH/NCI
Strategies to Engage Traditionally Marginalized Patients in Patient Portal
- Heidi Carpenter, Vanderbilt University Medical School
Localize the Implementation of FDA List of Confusable Drug Names with the Application of Taiwan National Health Insurance Database: A Study of Text Similarity Computation with Real-World Data
- Ya Lin Chen, Teipei Medical University
Machine Learning for Time to Event Biomedical Research
- Ioana Danciu, Oak Ridge National Lab
An AI Model to Screen for the Novel Coronavirus in Emergency Department Clinical Notes
- John Del Gaizo, Medical University of South Carolina
Keys to a Successful Public Health Information System Implementation: Experience with COVID-19 Vaccine Ordering System Development and Implementation Across the United States
- Roua El Kalach, CDC
Patient-Centered Care Practices in Secure Messaging: Qualitative Analysis of Interviews with VHA Primary Care Teams
- Lynn Garvin, VA Boston Healthcare System
A Comparative Time-to-Event Analysis Across Health Systems
- Mohamed Ghalwash, IBM
Utilizing Advanced Visualization Technology to Study Home Care Challenges
- Denise Goldsmith, NIH/NINR
Comparison of a patient cohort and predictive models derived from local academic medical centers versus a national health database
- Benjamin Goldstein, Duke University
Expanding Exposure Notification Verification Code Issuance in WA State
- Amanda Higgins, Washington State Department of Health
Evaluation of the Effectiveness of an Opioid Reversal Alert at an Academic Medical Center
- Bernard Hsia, UF Health
A clinical decision support system (CDSS) ontology to facilitate portable vaccination CDSS rules: preliminary results
- Xia Jing, Clemson University
Patient-Specific Modeling with Lazy Random Forest (LazyRF)
- Adriana Johnson, University of Pittsburgh
Dissemination and Implementation of a Child Abuse Clinical Decision Support System
- Sundas Khan, Northwell Health
U.S. COVID-19 Surveillance in PCORnet®
- Sheryl Kluberg, Harvard Pilgrim Health Care Institute
Systematic Study of Publicly Available Resources Addressing Legal Data Sharing Issues
- Hye-Chung Kum, The Texas A&M University
Adoption of Telemedicine During the COVID-19 Pandemic: Perspectives of Primary Healthcare Providers
- Joe Lintz, Parker University
Identifying Criteria for Antonym Generation from Collocates in Corpora
- Chris Lu, NIH/NLM/MSC
The Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing
- Meng Ma, Sema4
PainRE-Life: A FHIR Based HUB for the management and support of patients with chronic pain
- Sara Marceglia, Università degli Studi di Trieste
Analyzing COVID-19 Case Report Forms Data from the All of Us Program
- Craig Mayer, National Library of Medicine
Characterizing Outpatient Portal Use among Women Receiving Obstetric and High-risk Pregnancy Care
- Evan Morgan, Ohio State University Medical Center
Optimizing Clinician Alerts for Concerning Symptoms in an Electronic Patient-Reported Outcomes (ePRO) System in Community Oncology
- Amila Patel, Navigating Cancer
Mining for parameters in literature: the case of defining electrical stimulation protocols
- Marco Prenassi, Università degli studi di Trieste
Usability and Accuracy Evaluation of the Fitbit Versa 3 Smart Watch Compared to Research-Grade Devices
- Blaine Reeder, University of Missouri
Comparing Performance of Hip-worn and Wrist-worn Research-Grade Activity Monitors for Daily Activities
- Blaine Reeder, University of Missouri
Digital Methodology for Mobile Clinical Decision Support Development
- Blaine Reeder, University of Missouri
Chronic Medical Conditions effects on Telemedicine Implementation During the COVID-19 Pandemic in Senior US Adults
- Jorge Rodriguez, UIC
Utilizing a Clinical Decision Support Alert to Increase Nasal MRSA PCR Ordering and Reduce Vancomycin Course Duration
- Diana Schreier, Mayo Clinic
Digital Mental Health Priorities of People Affected by Mental Health Problems: A Pan-Canadian Survey
- Nelson Shen, Centre for Addiction and Mental Health
Comparison of Three Phrase Chunking Approaches on Medical Concept Coverage in Clinical Text
- Grace Turner, University of Washington
Detecting Major Depressive Disorder from Clinical Notes using Neural Language Models with Distant Supervision
- Yanshan Wang, University of Pittsburgh
Classifying Infection Risk Following Pediatric Cardiac Surgery
- Kaitlin Williamson, Vanderbilt University Medical Center
Development and Validation of a Survival Score for the Emergency Department in Singapore
- Feng Xie, National University of Singapore
Hand hygiene monitoring by positioning technology utilizing IoT devices
- Keiko Yamashita, Nagoya University Hospital
Improving COVID-19 Vaccine Uptake of Mental Illness Patients using Learning Health System Framework
- Xiaoming Zeng, University of North Carolina at Chapel Hill