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  • Frontal
  • Podium Abstract

    Impact of COVID-19 on Career and Family Life for Women in AMIA

    • Joanna Abraham ;
    • Margarita Sordo ;
    • Duo Wei ;
    • Polina Kukhareva ;
    • Deepti Pandita ;
    • Prerna Dua ;
    • Imon Banerjee ;
    • Donghua Tao

    Impact of COVID-19 on Career and Family Life for Women in AMIA


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    Role of Telemedicine in Remote Intraoperative Decision Support

    • Joanna Abraham ;
    • Alicia Meng ;
    • Ben Warner ;
    • Thaddeus Budelier ;
    • Thomas Kannampallil

    Role of Telemedicine in Remote Intraoperative Decision Support


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    Electronic Connectivity between Hospital Pairs: Impact on ED Utilization

    • Julia Adler-Milstein ;
    • Jordan Everson

    Electronic Connectivity between Hospital Pairs: Impact on ED Utilization


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    Machine Learning Modeling to Support Cardio-Oncology Medical Practice

    • Samer Al-Droubi ;
    • Karl Kochendorfer ;
    • Marianna Krive ;
    • Michal Laufer Perl ;
    • Dan Gilon ;
    • Javid Moslehi ;
    • Christopher Gans ;
    • Joshua Arnold ;
    • Tochukwu Okwuosa ;
    • Eiman Jahangir ;
    • Jacob Krive

    Machine Learning Modeling to Support Cardio-Oncology Medical Practice


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    Lessons Learned from the First 1,000: Building the Base to Reach a Diverse Cohort of 100,000 Participants in a Population Wide Genomic Screening Program

    • Caitlin G. Allen ;
    • Daniel Judge ;
    • Elissa Levin ;
    • Katherine Sterba ;
    • Kelly Hunt ;
    • Paula Ramos ;
    • Sam Gallegos ;
    • Cathy Melvin ;
    • Karen Wager ;
    • Ken Catchpole ;
    • Catherine Clinton ;
    • Marvella Ford ;
    • Lori McMahon ;
    • Leslie Lenert

    Lessons Learned from the First 1,000: Building the Base to Reach a Diverse Cohort of 100,000 Participants in a Population Wide Genomic Screening Program


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    Lowering Friction in Digital Health Transformation in Healthcare System: Open-Source Digital Ecosystem Framework

    • Abdullah Alzeer ;
    • Dala Alali ;
    • Raghad Alabdullatif ;
    • Suleiman Alaqel ;
    • Sarah Alkhudair ;
    • Mohammed Alnashar ;
    • Saad Alhuzami ;
    • Hind Alseleahbi ;
    • Walaa Alnasser ;
    • Fahad Alsaawi ;
    • Abdullah Aqeeli

    Lowering Friction in Digital Health Transformation in Healthcare System: Open-Source Digital Ecosystem Framework


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    A Machine Learning Classifier to Prioritize Exome Reanalysis and Improve Rates of Rare Disease Diagnosis

    • Austin A. Antoniou ;
    • Robert Schuetz ;
    • Bimal Chaudhari

    A Machine Learning Classifier to Prioritize Exome Reanalysis and Improve Rates of Rare Disease Diagnosis


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    What gives? Changes in note composition as physicians shorten notes

    • Nate C. Apathy ;
    • Allison Hare ;
    • Sarah Fendrich ;
    • Dori Cross

    What gives? Changes in note composition as physicians shorten notes


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    Documentation dynamics: note composition, burden, and physician efficiency

    • Nate C. Apathy ;
    • Lisa Rotenstein ;
    • David Bates ;
    • A J Holmgren

    Documentation dynamics: note composition, burden, and physician efficiency


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    Deep Representational Clustering for Endotype Discovery

    • Amelia J. Averitt ;
    • Justin Mower ;
    • Nilanjana Banerjee

    Deep Representational Clustering for Endotype Discovery


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    Impact of Social Determinants of Health on Improving the LACE Index for 30-Day Unplanned Readmission Prediction

    • Anas Belouali ;
    • Haibin Bai ;
    • Kanimozhi Raja ;
    • Hadi Kharrazi

    Impact of Social Determinants of Health on Improving the LACE Index for 30-Day Unplanned Readmission Prediction


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    Multi-center implementation and evaluation of a custom clinical decision support model to reduce false sepsis alerts in the Emergency Department

    • Sophia Bessias ;
    • Anitra Lynch ;
    • Stacy Cobb ;
    • Gary Gartner ;
    • Ryan Kelly ;
    • Charul Haugan

    Multi-center implementation and evaluation of a custom clinical decision support model to reduce false sepsis alerts in the Emergency Department


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    Using Publicly Available Exome Sequencing Data to Identify X-linked Genetic Risk Factors for Multiple Sclerosis in Women

    • Kirill Borziak ;
    • Joseph Finkelstein

    Using Publicly Available Exome Sequencing Data to Identify X-linked Genetic Risk Factors for Multiple Sclerosis in Women


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    Implementing the ACTIVATE Digital Health Platform in Rural and Underserved Communities: A Mixed Methods, Multi-site Case Study

    • Melissa A. Bruno ;
    • Scott McGrath ;
    • Katherine Kim

    Implementing the ACTIVATE Digital Health Platform in Rural and Underserved Communities: A Mixed Methods, Multi-site Case Study


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    Using Reddit to detect suicidal ideation from patient emails

    • Marieke M. van Buchem ;
    • Hamza El Mosor ;
    • Jean Coquet ;
    • Tina Hernandez-Boussard

    Using Reddit to detect suicidal ideation from patient emails


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    The Application of Motivational Communication Principles from Advertising to Best Practice Advisory (BPA) Design May Improve User Compliance

    • Katie Burhop ;
    • Tatyan Clarke ;
    • Kathleen Lux ;
    • Bhavik Patel

    The Application of Motivational Communication Principles from Advertising to Best Practice Advisory (BPA) Design May Improve User Compliance


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    Developing support for interoperation of research in healthcare equity

    • James R. Campbell ;
    • James Svoboda ;
    • Alfred Anzalone ;
    • Mary Campbell ;
    • Johnelle Sparks ;
    • Carol Geary

    Developing support for interoperation of research in healthcare equity


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    Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations

    • Sena Chae ;
    • Jiyoun Song ;
    • Yolanda Barron ;
    • Kathy Bowles ;
    • Margaret McDonald ;
    • Sarah Rossetti ;
    • Kenrick Cato ;
    • Mollie Hobensack ;
    • Lauren Evans ;
    • Max Topaz

    Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations


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    Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations

    • Qingyu Chen ;
    • Tiarnan Keenan ;
    • Elvira Agron ;
    • Amr Elsawy ;
    • Emily Chew ;
    • Zhiyong Lu

    Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations


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    Quantifying Clinical Decision Support Across Pediatric Intensive Care Units

    • Alex Clark ;
    • Naveen Muthu ;
    • Mark Mai ;
    • Evan Orenstein ;
    • Swaminathan Kandaswamy ;
    • Kathleen Fear ;
    • Adam Dziorny

    Quantifying Clinical Decision Support Across Pediatric Intensive Care Units


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    Development and Piloting of a Human Factors Survey Based on I-MeDeSA through the Ambulatory EHR Evaluation Tool

    • Zoe Co ;
    • Lisa Newmark ;
    • David Classen ;
    • Jessica Cole ;
    • David Bates

    Development and Piloting of a Human Factors Survey Based on I-MeDeSA through the Ambulatory EHR Evaluation Tool


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    How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed

    • Conor K. Corbin ;
    • Michael Baiocchi ;
    • Jonathan Chen

    How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed


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    Variation in Use of Electronic Health Records within and Across Organizations

    • Dori A. Cross ;
    • Nate Apathy ;
    • A J Holmgren

    Variation in Use of Electronic Health Records within and Across Organizations


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    Using EHR to Assess Disparities in Lung Cancer Survival

    • Wanting Cui ;
    • Joseph Finkelstein

    Using EHR to Assess Disparities in Lung Cancer Survival


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    Can Facilitated Telehealth Bridge the Digital Health Divide?

    • Brock Daniels ;
    • Christina McGinnis ;
    • Justin Kara ;
    • Josh Kim ;
    • Peter Greenwald ;
    • Rahul Sharma

    Can Facilitated Telehealth Bridge the Digital Health Divide?


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    Understanding the Impact of Demographics and Socioeconomic Parameters on Treatment Selection and Utilization in Type 2 Diabetes

    • Jaysón M. Davidson ;
    • Rohit Davidson ;
    • Ayan Patel ;
    • Atul Butte

    Understanding the Impact of Demographics and Socioeconomic Parameters on Treatment Selection and Utilization in Type 2 Diabetes


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    Reducing Therapeutic Duplication in Inpatient Medication Orders

    • Thomas E. Dawson ;
    • Jonathan Beus ;
    • Swaminathan Kandaswamy ;
    • Uwem Umontuen ;
    • Denice McNeill ;
    • Evan Orenstein

    Reducing Therapeutic Duplication in Inpatient Medication Orders


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    Assessing the Impact of Social Determinants of Health on Patients with Type II Diabetes

    • Xiyu Ding ;
    • Akihiko Nishimura ;
    • Scott Zeger ;
    • Hadi Kharrazi

    Assessing the Impact of Social Determinants of Health on Patients with Type II Diabetes


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    Getting to the Information Clinicians Need Quickly: An Evaluation of DynaMed and Micromedex with Watson

    • Heba H. Edrees ;
    • Diane Seger ;
    • Mary Amato ;
    • Ania Syrowatka ;
    • Pamela Garabedian ;
    • Sevan Dulgarian ;
    • Petra Schultz ;
    • Gretchen Purcell Jackson ;
    • David Bates

    Getting to the Information Clinicians Need Quickly: An Evaluation of DynaMed and Micromedex with Watson


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    Interoperability Among Hospitals Treating Socioeconomically Disadvantaged Patients

    • Jordan Everson ;
    • Vaishali Patel ;
    • Andrew Bazemore ;
    • Robert Phillips

    Interoperability Among Hospitals Treating Socioeconomically Disadvantaged Patients


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    Identifying Menopausal Status with Natural Language Processing

    • Hannah Eyre ;
    • Kristine Lynch ;
    • Carolyn Gibson ;
    • Scott DuVall ;
    • Olga Patterson

    Identifying Menopausal Status with Natural Language Processing


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    Training Deep Learning Models Privately in Survival Studies

    • Liyue Fan ;
    • Luca Bonomi

    Training Deep Learning Models Privately in Survival Studies


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    Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation

    • Rohan Goli ;
    • Nina Hubig ;
    • Hua Min ;
    • Yang Gong ;
    • Dean Sittig ;
    • David Robinson ;
    • Paul Biondich ;
    • Adam Wright ;
    • Christian Nohr ;
    • Tim Law ;
    • Arild Faxvaag ;
    • Ronald Gimbel ;
    • Lior Rennert ;
    • Xia Jing

    Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation


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    A SMART on FHIR Application to Improve Suicide Risk Prediction and Management

    • William J. Gordon ;
    • Kate Bentley ;
    • Amy Fitzpatrick ;
    • Brian Kaney ;
    • Ronald Kessler ;
    • Matthew Nock ;
    • Ben Reis ;
    • Mark Schechter ;
    • Vicki Strateman ;
    • Dewar Tan ;
    • Sarah Young ;
    • Jordan Smoller

    A SMART on FHIR Application to Improve Suicide Risk Prediction and Management


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    Application of Natural Language Processing to Identify Social Needs from The Electronic Health Record’s Free-Text Notes

    • Geoffrey M. Gray ;
    • Luis Ahumada ;
    • Ayah Zirikly ;
    • Masoud Rouhizadeh ;
    • Thomas Richards ;
    • Elham Hatef

    Application of Natural Language Processing to Identify Social Needs from The Electronic Health Record’s Free-Text Notes


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    Development of a High-Performance Predicting Model for 7-Day Readmissions at a Quaternary Pediatric Institution

    • Geoffrey M. Gray ;
    • John Morrison ;
    • Anthony Sochet ;
    • Mohamed Rehman ;
    • Paola Dees ;
    • Luis Ahumada

    Development of a High-Performance Predicting Model for 7-Day Readmissions at a Quaternary Pediatric Institution


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    Tablet Distribution to Veterans: An Opportunity to Increase Portal Adoption and Use

    • Ashley C. Griffin ;
    • Lara Troszak ;
    • James Van Campen ;
    • Amanda Midboe ;
    • Donna Zulman

    Tablet Distribution to Veterans: An Opportunity to Increase Portal Adoption and Use


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    Identifying Erroneous Height and Weight Values from Adult Electronic Health Records

    • Andrew Guide ;
    • Lina Sulieman ;
    • Qingxia Chen

    Identifying Erroneous Height and Weight Values from Adult Electronic Health Records


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    Modifiable Inpatient Cost Variability at a Large Academic Medical Center

    • Kush Gupta ;
    • Jason Hom ;
    • Ted Ross ;
    • Jonathan Masterson ;
    • Alexander Chin ;
    • Arnold Milstein ;
    • Jonathan Chen

    Modifiable Inpatient Cost Variability at a Large Academic Medical Center


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    Development of an Integrated Clinical and Social Multi-level Risk Score to Identify Social Needs Among Minority Populations in Baltimore City

    • Elham Hatef ;
    • Hisen-Yen Chang ;
    • Thomas Richards ;
    • Elyse Lasser ;
    • Hadi Kharrazi ;
    • Jonathan Weiner

    Development of an Integrated Clinical and Social Multi-level Risk Score to Identify Social Needs Among Minority Populations in Baltimore City


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    Multi-level factors associated with use of an EHR-based shared-decision making system for cardiovascular disease risk in community health centers

    • Jenny Hauschildt ;
    • Rachel Gold ;
    • Kristin Lyon-Scott ;
    • Christina Sheppler ;
    • Annie Larson ;
    • Carmit McMullen ;
    • David Boston ;
    • Patrick O'Connor ;
    • Joann Sperl-Hillen

    Multi-level factors associated with use of an EHR-based shared-decision making system for cardiovascular disease risk in community health centers


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    Impact of Patient Access to EHR Notes on Clinician EHR Documentation

    • A Jay Holmgren ;
    • Nate Apathy

    Impact of Patient Access to EHR Notes on Clinician EHR Documentation


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    Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model

    • Anne de Hond ;
    • Ilse Kant ;
    • Mattia Fornasa ;
    • Giovanni Cinà ;
    • Paul Elbers ;
    • Patrick Thoral ;
    • Sesmu Arbous ;
    • Ewout Steyerberg

    Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model


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    Section-specific Annotation of PICO for Medical Evidence Extraction: Applications to Articles of Randomized Controlled Trials for Alzheimer’s Disease and COVID-19

    • Yan Hu ;
    • Vipina Kuttichi Keloth ;
    • Hua Xu

    Section-specific Annotation of PICO for Medical Evidence Extraction: Applications to Articles of Randomized Controlled Trials for Alzheimer’s Disease and COVID-19


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    Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

    • Yining Hua ;
    • Hang Jiang ;
    • Jie Yang ;
    • Shixu Lin ;
    • Joseph Plasek ;
    • David Bates ;
    • Li Zhou

    Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications


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    Modeling a Cancer Symptom Control Domain Using HL7 FHIR: Applicability of the Minimal Common Oncology Data Elements (mCODE)

    • Nan Huo ;
    • Yue Yu ;
    • Nansu Zong ;
    • Andrea Cheville ;
    • Claude Nanjo ;
    • Eric Prud'hommeaux ;
    • Deirdre Pachman ;
    • Guohui Xiao ;
    • Emily Pfaff ;
    • Christopher Chute ;
    • Guoqian Jiang ;
    • Kathryn J Ruddy

    Modeling a Cancer Symptom Control Domain Using HL7 FHIR: Applicability of the Minimal Common Oncology Data Elements (mCODE)


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    Physician Awareness of Social Determinants of Health Documentation Capability in the Electronic Health Record

    • Bradley E. Iott ;
    • Matt Pantell ;
    • Julia Adler-Milstein ;
    • Laura Gottlieb

    Physician Awareness of Social Determinants of Health Documentation Capability in the Electronic Health Record


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    Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients

    • Meghna Jani ;
    • Ghada Alfattni ;
    • Maksim Belousov ;
    • Yuanyuan Zhang ;
    • Michael Cheng ;
    • Andrew Kanter ;
    • William Dixon ;
    • Goran Nenadic

    Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients


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    Development and preliminary validation of metrics to evaluate data-driven clinical research hypotheses

    • Xia Jing ;
    • Yuchun Zhou ;
    • James Cimino ;
    • Jay Shubrook ;
    • Vimla Patel ;
    • Sonsoles De Lacalle ;
    • Chang Liu

    Development and preliminary validation of metrics to evaluate data-driven clinical research hypotheses


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    Modeling association between clinician interventions and outcomes in Major Depressive Disorder with observational electronic health record data

    • Barrett Jones ;
    • Colin Walsh

    Modeling association between clinician interventions and outcomes in Major Depressive Disorder with observational electronic health record data


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    Quantifying Electronic Health Record (EHR) Data Quality in Telehealth and Office-based Type 2 Diabetes Care

    • Kevin Wiley Jr. ;
    • Eneida Mendonca ;
    • Justin Blackburn ;
    • Nir Menachemi ;
    • Mary De Groor ;
    • Joshua Vest

    Quantifying Electronic Health Record (EHR) Data Quality in Telehealth and Office-based Type 2 Diabetes Care


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    Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank

    • Uri Kartoun ;
    • Paul Myers ;
    • Kristen Severson ;
    • Wangzhi Dai ;
    • Kenney Ng ;
    • Collin Stultz

    Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank


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    Let’s Talk About RAF: Improving Documentation & Score Accuracy with Care Orchestration

    • Jason Keiner ;
    • Subha Airan-Javia ;
    • Christopher Hwang

    Let’s Talk About RAF: Improving Documentation & Score Accuracy with Care Orchestration


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    Leveraging External Data to Make Local Predictions of Post-Surgical Opioid Use: Investigating the Role of External Validation and Transfer Learning

    • Chris J. Kennedy ;
    • Jayson Marwaha ;
    • Brendin Beaulieu-Jones ;
    • Josh Bleicher ;
    • Lyen Huang ;
    • Gabriel Brat

    Leveraging External Data to Make Local Predictions of Post-Surgical Opioid Use: Investigating the Role of External Validation and Transfer Learning


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    Potential Contribution of Wellness Care to CVD Prevention among Diabetes Patients: Analysis of BI-VitalLife Cohort

    • Tanawat Khunlertkit

    Potential Contribution of Wellness Care to CVD Prevention among Diabetes Patients: Analysis of BI-VitalLife Cohort


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    The application of patient reported outcomes (PROs) to build personalized patient education aids for shared decision making at prostate cancer consultations

    • Ellen Kim ;
    • Arpi Murray ;
    • Michael Tolstorukov ;
    • Neil Martin

    The application of patient reported outcomes (PROs) to build personalized patient education aids for shared decision making at prostate cancer consultations


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    Lessons Learned from Implementing Clinical Decision Support for Neonatal Ventilation

    • Lindsey A. Knake ;
    • Mhd Wael Alrifai ;
    • Allison McCoy ;
    • Jonathan Wanderer ;
    • Kevin Johnson ;
    • Christoph Lehmann ;
    • Adam Wright ;
    • L. Dupree Hatch III

    Lessons Learned from Implementing Clinical Decision Support for Neonatal Ventilation


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    A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning

    • Jejo D. Koola ;
    • Jialin Mao ;
    • Sharon Davis ;
    • Henry Ssemaganda ;
    • Dax Westerman ;
    • Lucila Ohno-Machado ;
    • Frederic Resnic ;
    • Michael Matheny

    A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning


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    Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing Prompts

    • Polina V. Kukhareva ;
    • Douglas Martin ;
    • Isaac Warner ;
    • Salvador Rodriguez Loya ;
    • Haojia Li ;
    • Yue Zhang ;
    • Tanner Caverly ;
    • Guilherme Del Fiol ;
    • Kensaku Kawamoto

    Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing Prompts


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    A comparison of socio-behavioral determinants of health information captured in the electronic health record versus insurance claims for a population seen in an ambulatory care setting

    • Elyse C. Lasser ;
    • Kimberly Gudzune ;
    • Hadi Kharrazi ;
    • Harold Lehmann ;
    • Jonathan Weiner

    A comparison of socio-behavioral determinants of health information captured in the electronic health record versus insurance claims for a population seen in an ambulatory care setting


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    Primary Care Screening for Confidential Conditions in a Segmented Electronic Health Record: Application to Intimate Partner Violence

    • Leslie A. Lenert ;
    • Vanessa Diaz ;
    • Kit Simpson ;
    • Christina Hahn ;
    • Alyssa Rheingold

    Primary Care Screening for Confidential Conditions in a Segmented Electronic Health Record: Application to Intimate Partner Violence


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    COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications

    • Megan Mun Li ;
    • Tsung-Ting Kuo

    COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications


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    ADE: an integrated bioinformatics web server for neurodegenerative disease exploration, omics data analysis, and drug discovery

    • Jiannan Liu ;
    • Huanmei Wu ;
    • Daniel Robertson ;
    • Kun Huang ;
    • Jie Zhang

    ADE: an integrated bioinformatics web server for neurodegenerative disease exploration, omics data analysis, and drug discovery


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    Effect of Patient Switching on EHR-based Workload and Wrong-Patient Errors

    • Sunny S. Lou ;
    • Seunghwan Kim ;
    • Derek Harford ;
    • Benjamin Warner ;
    • Philip Payne ;
    • Joanna Abraham ;
    • Thomas Kannampallil

    Effect of Patient Switching on EHR-based Workload and Wrong-Patient Errors


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    BioRED: A Comprehensive Biomedical Relation Extraction Dataset

    • Ling Luo ;
    • Po-Ting Lai ;
    • Chih-Hsuan Wei ;
    • Cecilia Arighi ;
    • Zhiyong Lu

    BioRED: A Comprehensive Biomedical Relation Extraction Dataset


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    A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations

    • Kevin Lybarger ;
    • Namu Park ;
    • Sitong Zhou ;
    • Aashka Damani ;
    • Alison Brennan ;
    • Jagjeet Gill ;
    • Nianiella Dorvall ;
    • Vy Huynh ;
    • Spencer Lewis ;
    • Martin Gunn ;
    • Ozlem Uzuner ;
    • Meliha Yetisgen

    A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations


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    More than Algorithms: an Analysis of ML Safety Events Reported to the FDA

    • David Lyell ;
    • Ying Wang ;
    • Farah Magrabi

    More than Algorithms: an Analysis of ML Safety Events Reported to the FDA


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    Temporal Events Detector for Pregnancy Care (TED-PC): A Rule-based Algorithm to Infer Gestational Age and Delivery Date from Electronic Health Records of Pregnant Women with and without COVID-19

    • Tianchu Lyu ;
    • Chen Liang ;
    • Jihong Liu ;
    • Berry Campbell ;
    • Peiyin Hung ;
    • Yi-Wen Shih ;
    • Nadia Ghumman ;
    • Xiaoming Li

    Temporal Events Detector for Pregnancy Care (TED-PC): A Rule-based Algorithm to Infer Gestational Age and Delivery Date from Electronic Health Records of Pregnant Women with and without COVID-19


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    Impact of Changes in CMS E/M Documentation Requirements on Physician EHR Use

    • Natalya Maisel ;
    • J. Marc Overhage ;
    • Robert Thombley ;
    • Kathleen Blake ;
    • Christine Sinsky ;
    • Lindsey Carlasare ;
    • Julia Adler-Milstein

    Impact of Changes in CMS E/M Documentation Requirements on Physician EHR Use


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    Comparative Analysis of Social Connections/Isolation and Stress Documentation in Structured and Unstructured Machine De-Identified Data using PatientExploreR and EMERSE

    • Shivani Mehta ;
    • Anna Rubinsky ;
    • Courtney Lyles ;
    • Kathryn Kemper ;
    • Kim Nguyen ;
    • Laura Gottlieb ;
    • Urmimala Sarkar ;
    • William Brown III

    Comparative Analysis of Social Connections/Isolation and Stress Documentation in Structured and Unstructured Machine De-Identified Data using PatientExploreR and EMERSE


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    Towards Intuitive Features for Useful Explanations of Predictive Models

    • Elliot G. Mitchell ;
    • Satish Kalepalli ;
    • Grant DeLong ;
    • Meg Horgan ;
    • Vishal Mehra ;
    • David Vawdrey ;
    • Karen Murphy ;
    • Abdul Tariq

    Towards Intuitive Features for Useful Explanations of Predictive Models


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    Using structured electronic health record (EHR) data to assess claims-based algorithm performance in the Food and Drug Administration (FDA)’s Biologics Effectiveness and Safety (BEST) Initiative network

    • Keran Moll ;
    • Cindy Ke Zhou ;
    • Lisa Kowarski ;
    • Shayan Hobbi ;
    • Katie Fingar ;
    • Patricia Lloyd ;
    • Patrick Saunders-Hastings ;
    • Joyce Obidi ;
    • Steven Anderson ;
    • Nader Alawar ;
    • Veronica Hernandez-Medina ;
    • Timothy Burrell ;
    • Jeffrey Beers ;
    • John Seeger ;
    • Kandace Amend ;
    • Elizabeth Bell ;
    • Michael Miller ;
    • Hui Lee Wong ;
    • Azadeh Shoaibi

    Using structured electronic health record (EHR) data to assess claims-based algorithm performance in the Food and Drug Administration (FDA)’s Biologics Effectiveness and Safety (BEST) Initiative network


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    Using CDS Hooks to Increase SMART on FHIR App Utilization: A Cluster-Randomized Trial

    • Keaton L. Morgan ;
    • Polina Kukhareva ;
    • Phillip Warner ;
    • Jonah Wilkof ;
    • Meir Snyder ;
    • Devin Horton ;
    • Troy Madsen ;
    • Joseph Habboushe ;
    • Kensaku Kawamoto

    Using CDS Hooks to Increase SMART on FHIR App Utilization: A Cluster-Randomized Trial


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    Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs

    • Amanda J. Moy ;
    • Jennifer Withall ;
    • Mollie Hobensack ;
    • Rachel Lee ;
    • Deborah Levy ;
    • S. Trent Rosenbloom ;
    • Sarah Rossetti ;
    • Kevin Johnson ;
    • Kenrick Cato

    Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs


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    Evaluation of the Epic Risk of Pediatric Asthma Exacerbation Model: A Difference-In-Differences Analysis

    • Avinash Murugan ;
    • Swaminathan Kandaswamy ;
    • Edwin Ray ;
    • Scott Gillespie ;
    • Evan Orenstein

    Evaluation of the Epic Risk of Pediatric Asthma Exacerbation Model: A Difference-In-Differences Analysis


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    Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes

    • Behzad Naderalvojoud ;
    • Anne de Hond ;
    • Alessandro Shapiro ;
    • Jean Coquet ;
    • Tina Seto ;
    • Tina Hernandez-Boussard

    Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes


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    Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review

    • Harry Reyes Nieva ;
    • Noemie Elhadad

    Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review


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    A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study

    • Yilin Ning ;
    • Siqi Li ;
    • Marcus Ong ;
    • Feng Xie ;
    • Bibhas Chakraborty ;
    • Daniel Shu Wei Ting ;
    • Nan Liu

    A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study


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    mCODE® (Minimal Common Oncology Data Elements): a 3-year Update

    • Travis Osterman ;
    • Teja Ganta ;
    • Sutin Chen ;
    • Samuel Volchenboum

    mCODE® (Minimal Common Oncology Data Elements): a 3-year Update


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    Association of Documented Social Needs in Claims and Electronic Health Records of Medicaid Population with Healthcare Utilization and Costs

    • Chintan J. Pandya ;
    • Elham Hatef ;
    • Jun Bo Wu ;
    • Thomas Richards ;
    • Jonathan Weiner ;
    • Hadi Kharrazi

    Association of Documented Social Needs in Claims and Electronic Health Records of Medicaid Population with Healthcare Utilization and Costs


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    Charting the Changing Nature of Post-Covid Symptoms: Initial Findings from a Longitudinal Study

    • Jessica A. Pater ;
    • Fen Lei Chang ;
    • Jeanne Carroll ;
    • R. Scott Stienecker ;
    • Tammy Toscos ;
    • Shion Guha

    Charting the Changing Nature of Post-Covid Symptoms: Initial Findings from a Longitudinal Study


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    Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens

    • Adrienne Pichon ;
    • Iñigo Urteaga ;
    • Olena Mamykina ;
    • Noemie Elhadad

    Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens


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    Using natural language processing to predict oral cancer risk with dental pathology notes¬¬

    • Malvika Pillai ;
    • Javed Mostafa ;
    • Alexander Tropsha ;
    • Amanda Seyerle ;
    • Jamie Arguello ;
    • Di Wu

    Using natural language processing to predict oral cancer risk with dental pathology notes¬¬


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    Racial and ethnic differences in hospitals’ interoperable exchange capabilities among patients receiving fragmented care

    • Yuriy Pylypchuk ;
    • Christian Johnson

    Racial and ethnic differences in hospitals’ interoperable exchange capabilities among patients receiving fragmented care


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    Building and Monitoring an EHR Workflow Embedded Randomized Trial: The ACORN Trial for Antibiotic Choice in Acutely Ill Patients

    • Edward T. Qian ;
    • Allison McCoy ;
    • Jonathan Casey ;
    • Matthew Semler ;
    • Todd Rice ;
    • Adam Wright

    Building and Monitoring an EHR Workflow Embedded Randomized Trial: The ACORN Trial for Antibiotic Choice in Acutely Ill Patients


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    Deidentifying a Corpus of 100 Million Clinical Text Documents for Information Extraction: Lessons Learned

    • Lakshmi Radhakrishnan ;
    • Gundolf Schenk ;
    • Kathlene Muenzen ;
    • Boris Oskotsky ;
    • Sharat Israni ;
    • Atul Butte

    Deidentifying a Corpus of 100 Million Clinical Text Documents for Information Extraction: Lessons Learned


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    Exploring the use of a terminology-driven normalization engine as a value-added service provided by a regional health information exchange

    • Naresh Sundar Rajan ;
    • Avery Wallace ;
    • Andrew Kanter

    Exploring the use of a terminology-driven normalization engine as a value-added service provided by a regional health information exchange


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    Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data

    • Laila Rasmy ;
    • Peter Beshara ;
    • Bijun Kannadath ;
    • Degui Zhi

    Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data


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    Tailoring Clinical Decision Support and Implementation Strategies: A User Centered Framework

    • Jessica M. Ray ;
    • Emily Finn ;
    • Hollyce Tyrrell ;
    • Carlin Aloe ;
    • Eliana Perrin ;
    • Charles Wood ;
    • Dean Miner ;
    • Randall Grout ;
    • Jeremy Michel ;
    • Laura Damschroder ;
    • Mona Sharifi

    Tailoring Clinical Decision Support and Implementation Strategies: A User Centered Framework


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    A Hybrid Approach to Semi-automate the Evaluation of the Certainty of Evidence for Living Systematic Reviews and Meta-analysis

    • Irbaz Bin Riaz ;
    • Huan He ;
    • Syed Arsalan Ahmed Naqvi ;
    • Rabbia Siddiqi ;
    • Noureen Asghar ;
    • Mahnoor Islam ;
    • M. Hassan Murad ;
    • Hongfang Liu

    A Hybrid Approach to Semi-automate the Evaluation of the Certainty of Evidence for Living Systematic Reviews and Meta-analysis


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    Nudging Provider Adoption of Clinical Decision Support: Pilot Study of a Behavioral Economic-Inspired Electronic Health Record Tool

    • Safiya Richardson ;
    • Katherine Dauber-Decker ;
    • Jeffrey Solomon ;
    • Pradeep Seelamneni ;
    • Dee Luo ;
    • Sundas Khan ;
    • Douglas Barnaby ;
    • John Chelico ;
    • Guang Qiu ;
    • Yan Liu ;
    • Shreya Sanghani ;
    • Devin Mann ;
    • Renee Pekmezaris ;
    • Thomas McGinn ;
    • Michael Diefenbach

    Nudging Provider Adoption of Clinical Decision Support: Pilot Study of a Behavioral Economic-Inspired Electronic Health Record Tool


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    Disparities in Patient Access to Electronic Health Information: The Role of Providers as Gatekeepers to Patient Portals

    • Chelsea Richwine ;
    • Christian Johnson ;
    • Vaishali Patel

    Disparities in Patient Access to Electronic Health Information: The Role of Providers as Gatekeepers to Patient Portals


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    Long-term accuracy of a hybrid model to automate triage for patients with dizziness

    • Santiago Romero-Brufau ;
    • Adam Goulson ;
    • Gayla Poling ;
    • Devin McCaslin ;
    • Scott Eggers ;
    • Colin Driscoll ;
    • Kalyan Pasupathy ;
    • Jeffrey Staab

    Long-term accuracy of a hybrid model to automate triage for patients with dizziness


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    Information Gathering in the EHR: Variability in Current Practice, Early Benchmarks, and the Creation of an Audit-Log Based Automated, Scalable Dashboard for Continuous Assessment and Learning

    • Benjamin I. Rosner

    Information Gathering in the EHR: Variability in Current Practice, Early Benchmarks, and the Creation of an Audit-Log Based Automated, Scalable Dashboard for Continuous Assessment and Learning


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    Evaluation of the Impact of a 90-day Mortality Prediction Model Integrated in the EHR for Advanced Care Planning

    • Lorenzo A. Rossi ;
    • Laura Roberts ;
    • Mariel Olivares ;
    • Amis Christian ;
    • Stefanie Mooney ;
    • Denise Morse ;
    • Finly Zachariah

    Evaluation of the Impact of a 90-day Mortality Prediction Model Integrated in the EHR for Advanced Care Planning


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    Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians

    • Lisa S. Rotenstein ;
    • Richard Gitomer ;
    • Michael Healey ;
    • Daniel Horn ;
    • David Ting ;
    • Stuart Lipsitz ;
    • Hojjat Salmasian ;
    • David Bates

    Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians


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    Work Patterns of Physicians and Advanced Practice Providers Vary Substantially Across Primary Care Versus Other Specialties

    • Lisa S. Rotenstein ;
    • Nate Apathy ;
    • Susan Edgman-Levitan ;
    • Bruce Landon

    Work Patterns of Physicians and Advanced Practice Providers Vary Substantially Across Primary Care Versus Other Specialties


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    Evidence for How Clinicians Manage Drug-Drug Interactions in Clinical Practice and Associated Recommendations for Alert Design

    • Alissa L. Russ-Jara ;
    • Karen Arthur ;
    • Nervana Elkhadragy ;
    • Julie Diiulio ;
    • Laura Militello ;
    • Amanda Ifeachor ;
    • Peter Glassman ;
    • Alan Zillich ;
    • Michael Weiner

    Evidence for How Clinicians Manage Drug-Drug Interactions in Clinical Practice and Associated Recommendations for Alert Design


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    Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care

    • Sameh N. Saleh ;
    • Corey Chivers ;
    • Jason Lubken ;
    • Katherine Courtright ;
    • Gary Weissman ;
    • Daniel Herman

    Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care


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    A preliminary study evaluating the efficacy of electronic consenting platforms to gather permission for clinical research

    • Sarvesh Sawant ;
    • Maria Molloseau ;
    • Kapil Chalil Madathil ;
    • Jihad Obeid

    A preliminary study evaluating the efficacy of electronic consenting platforms to gather permission for clinical research


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    Leveraging Hierarchical Concept Relations to Improve Automatic Detection of Off-Label Drug Use in Electronic Health Records Data

    • Kayla Schiffer ;
    • Chunhua Weng ;
    • Yoolim Choi

    Leveraging Hierarchical Concept Relations to Improve Automatic Detection of Off-Label Drug Use in Electronic Health Records Data


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    A Novel Hybrid Value-Aware Transformer Architecture for Learning from Longitudinal Clinical Data

    • Yijun Shao ;
    • Yan Cheng ;
    • Stuart Nelson ;
    • Peter Kokkinos ;
    • Edward Zamrini ;
    • Ali Ahmed ;
    • Qing Zeng-Treitler

    A Novel Hybrid Value-Aware Transformer Architecture for Learning from Longitudinal Clinical Data


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    Ctrl-C: A Cross-Sectional Study of the EHR Usage Patterns of US Oncology Clinicians

    • Sumi Sinha ;
    • A J Holmgren ;
    • Julian Hong ;
    • Lisa Rotenstein

    Ctrl-C: A Cross-Sectional Study of the EHR Usage Patterns of US Oncology Clinicians


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    Enabling Patients to Self-report Demographics as a Foundation for Improving Health Equity

    • Shikha Sinha ;
    • Heather Marney ;
    • Raghuveer Puttagunta ;
    • Aliasgar Chittalia ;
    • David Vawdrey

    Enabling Patients to Self-report Demographics as a Foundation for Improving Health Equity


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    Predicting Suicide Attempt Risk in Patients with Autism Spectrum Disorder

    • Hannah Slater ;
    • Jessica Schwartzman ;
    • Colin Walsh

    Predicting Suicide Attempt Risk in Patients with Autism Spectrum Disorder


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    Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease

    • Joshua C. Smith ;
    • Daniel Park ;
    • Jill Whitaker Bey ;
    • Michael McLemore ;
    • Elizabeth Hanchrow ;
    • Dax Westerman ;
    • Joshua Osmanski ;
    • Robert Winter ;
    • Arvind Ramaprasan ;
    • Ann Kelley ;
    • Mary Shea ;
    • David Cronkite ;
    • Saranrat Wittayanukorn ;
    • Danijela Stojanovic ;
    • Yueqin Zhao ;
    • Darren Toh ;
    • Kevin Johnson ;
    • David Aronoff ;
    • David Carrell

    Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease


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    Genome-wide Association Study of Codeine Prescriptions: An EHR-driven Genomic Study

    • Wenyu Song ;
    • Hailiang Huang ;
    • Kenneth Mukamal ;
    • Adam Wright ;
    • David Bates

    Genome-wide Association Study of Codeine Prescriptions: An EHR-driven Genomic Study


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    Using EHR Data and Machine Learning Methods to Predict Fall Injury

    • Wenyu Song ;
    • Luwei Liu ;
    • Hannah Rice ;
    • Michael Sainlaire ;
    • Lillian Min ;
    • Linying Zhang ;
    • Tien Thai ;
    • Min Jeoung Kang ;
    • Mica Curtin-Bowen ;
    • Stuart Lipsitz ;
    • Lipika Samal ;
    • Nancy Latham ;
    • Patricia Dykes

    Using EHR Data and Machine Learning Methods to Predict Fall Injury


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    A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance.

    • Ali Soroush ;
    • Courtney Diamond ;
    • Haley Zylberberg ;
    • Julian Abrams ;
    • Chunhua Weng

    A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance.


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    Disentangling and Characterizing Device Safety Signals and Learning Effects

    • Henry Ssemaganda ;
    • Frederic Resnic ;
    • Sharon Davis ;
    • Usha Govindarajulu ;
    • Jejo Koola ;
    • Jialin Mao ;
    • Dax Westerman ;
    • Theodore Speroff ;
    • Craig Ramsay ;
    • Art Sedrakyan ;
    • Lucila Ohno-Machado ;
    • Michael Matheny

    Disentangling and Characterizing Device Safety Signals and Learning Effects


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    Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling

    • J.N. Stroh ;
    • Bradford Smith ;
    • Peter Sottile ;
    • George Hripcsak ;
    • David Albers

    Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling


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    Impact of COVID-19 on mental health outcomes in the All of Us Research Program

    • Onajia J. Stubblefield ;
    • David Schlueter ;
    • Jacob Keaton ;
    • Ariel Williams ;
    • Slavina Goleva ;
    • Tracey Ferrara ;
    • Chenjie Zeng ;
    • Huan Mo ;
    • Joshua Denny

    Impact of COVID-19 on mental health outcomes in the All of Us Research Program


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    Comprehensively modeling heterogeneous symptom progression for Parkinson’s disease subtyping

    • Chang Su ;
    • Yu Hou ;
    • Jielin Xu ;
    • Matthew Brendel ;
    • Jacqueline Maasch ;
    • Zilong Bai ;
    • Yingying Zhu ;
    • Claire Henchcliffe ;
    • Feixiong Cheng ;
    • Fei Wang

    Comprehensively modeling heterogeneous symptom progression for Parkinson’s disease subtyping


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    The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development

    • Jing Su ;
    • Nanxin Jin ;
    • Zuotan Li ;
    • Carla Kettler ;
    • Bruce Barton ;
    • Greg Puetz ;
    • Chi Mai Nguyen ;
    • Donna McGrath ;
    • Yingjie Chen ;
    • Baijian Yang ;
    • Vijay Shah ;
    • Svetlana Radaeva ;
    • Samer Gawrieh ;
    • Wanzhu Tu

    The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development


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    Assessing Data Quality and Diversity in the All of Us

    • Lina Sulieman ;
    • Jennifer Zhang ;
    • Kayla Marginean ;
    • Paul Harris ;
    • Robert Carroll

    Assessing Data Quality and Diversity in the All of Us


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    Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care

    • Ania Syrowatka ;
    • Lipika Samal ;
    • John Laurentiev ;
    • Luwei Liu ;
    • Azza Omer ;
    • Wenyu Song ;
    • Michael Sainlaire ;
    • Frank Yu Chang ;
    • Tien Thai ;
    • Li Zhou ;
    • David Bates ;
    • Patricia Dykes

    Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care


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    Comorbidities and Ethnic Health Disparities in the UK Biobank

    • Whitney L. Teagle ;
    • Emily Norris ;
    • Lavanya Rishishwar ;
    • Shashwat Deepali Negar ;
    • King Jordan ;
    • Leonardo Marino-Ramirez

    Comorbidities and Ethnic Health Disparities in the UK Biobank


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    Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data

    • Fuchiang (Rich) Tsui ;
    • Victor Ruiz ;
    • Sachin Grover ;
    • Lingyun Shi ;
    • Allan Simpao ;
    • Michael Goldstein

    Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data


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    Exploring Emergency Medicine Physicians’ Information Retrieval Practices: A Pilot Study

    • Elizabeth Umberfield ;
    • Katy Stewart ;
    • Jordan Hill ;
    • Titus Schleyer

    Exploring Emergency Medicine Physicians’ Information Retrieval Practices: A Pilot Study


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    Assessing the Readability of Patient Education Materials in Obstetrics and Gynecology

    • Tripura M. Vithala ;
    • Anunita Nattam ;
    • Danny Wu

    Assessing the Readability of Patient Education Materials in Obstetrics and Gynecology


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    Dynamic Reaction Picklist for Improving Allergy Reaction Documentation: A Usability Study

    • Liqin Wang ;
    • Heekyong Park ;
    • Sachin Vallamkonda ;
    • Diane Seger ;
    • Suzanne Blackley ;
    • Pamela Garabedian ;
    • Foster Goss ;
    • Kimberly Blumenthal ;
    • David Bates ;
    • Shawn Murphy ;
    • Li Zhou

    Dynamic Reaction Picklist for Improving Allergy Reaction Documentation: A Usability Study


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    A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation

    • Yanran Wang ;
    • j.n. stroh $lastName ;
    • George Hripcsak ;
    • Cecilia C. Low Wang ;
    • Julia Wrobel ;
    • Caroline Der Nigoghossian ;
    • Tellen Bennett ;
    • David Albers

    A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation


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    “Synaptic Specialists”: Utilizing Computerized Neurocognitive Testing and Data Analysis to Define the True Skills of Esports Athletes

    • Jared Warren ;
    • Michael Dakkak ;
    • Ahmed Emara ;
    • Jason Cruickshank ;
    • David Craygo ;
    • Diane Tucker ;
    • Gary Calabrese ;
    • Jonathan Schaffer ;
    • Dominic King $lastName

    “Synaptic Specialists”: Utilizing Computerized Neurocognitive Testing and Data Analysis to Define the True Skills of Esports Athletes


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    Design and Curation of Longitudinal Outpatient Data for Predictive Modeling of Iron Deficiency Anemia

    • Jenny L. Weon ;
    • Sameh Saleh ;
    • Yee Seng Ng ;
    • Chenlu Tian ;
    • Andrew Quinn

    Design and Curation of Longitudinal Outpatient Data for Predictive Modeling of Iron Deficiency Anemia


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    Comparing Effect Sizes in Covid Positive Phenomic Profiles

    • Ariel Williams ;
    • David Schlueter ;
    • Jacob Keaton ;
    • Tracey Ferrara ;
    • Onajia Stubblefield ;
    • Kyle Webb ;
    • Slavina Goleva ;
    • Jian Dai ;
    • Chenjie Zeng ;
    • Huan Mo ;
    • Thomas Cassini ;
    • Joshua Denny

    Comparing Effect Sizes in Covid Positive Phenomic Profiles


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    Streamlining Provider and Clerical Tasks into One View: Opioid Toolkit

    • W. Kendall Wyatt

    Streamlining Provider and Clerical Tasks into One View: Opioid Toolkit


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    Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records

    • Feng Xie ;
    • Jun Zhou ;
    • Jin Wee Lee ;
    • Mingrui Tan ;
    • Siqi Li ;
    • Logasan S/O Rajnthern ;
    • Marcel Lucas Chee ;
    • Bibhas Chakraborty ;
    • An-Kwok Ian Wong ;
    • Alon Dagan ;
    • Marcus Ong ;
    • Fei Gao ;
    • Nan Liu

    Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records


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    PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles

    • Shankai Yan ;
    • Ling Luo ;
    • Li Fang ;
    • Daniel Veltri ;
    • Andrew Oler ;
    • Rajarshi Ghosh ;
    • Chih-Hsuan Wei ;
    • Morgan Similuk ;
    • Kai Wang ;
    • Zhiyong Lu

    PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles


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    Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking

    • Chao Yan ;
    • Yao Yan ;
    • Ziqi Zhang ;
    • Zhiyu Wan ;
    • Justin Guinney ;
    • Sean Mooney ;
    • Bradley Malin

    Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking


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    A Comparative Study on the Capability of Real-World Antineoplastic Drug Data Collection by CanMED, ATC and HemOnc

    • Yue Yu ;
    • Kathryn Ruddy ;
    • Nan Huo ;
    • Nansu Zong ;
    • Deirdre Pachman ;
    • Christopher Chute ;
    • Emily Pfaff ;
    • Andrea Cheville ;
    • Guoqian Jiang

    A Comparative Study on the Capability of Real-World Antineoplastic Drug Data Collection by CanMED, ATC and HemOnc


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    Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular Disease

    • Alban Zammit ;
    • Tina Hernandez-Boussard ;
    • Jean Coquet ;
    • Ashish Sarraju ;
    • Fatima Rodriguez

    Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular Disease


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    Identifying Patient Subgroups with Different Mortality Risks in ICU Based on Dynamically Acquired Clinical Data

    • Zhilong Zhang ;
    • Guilan Kong ;
    • Shuai Jin ;
    • Huiying Zhao

    Identifying Patient Subgroups with Different Mortality Risks in ICU Based on Dynamically Acquired Clinical Data


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    Development/Implementation of Cancer Diagnosis Digital Quality Measures

    • Andrew J. Zimolzak ;
    • Paarth Kapadia ;
    • Daniel Murphy ;
    • Divvy Upadhyay ;
    • Umair Mushtaq ;
    • Usman Mir ;
    • Alexis Offner ;
    • Saritha Korukonda ;
    • Riyaa Murugaesh Rekha ;
    • Gary Abel ;
    • Luke Mounce ;
    • Georgios Lyratzopoulos ;
    • Hardeep Singh

    Development/Implementation of Cancer Diagnosis Digital Quality Measures


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    ADscreen: An Artificial Intelligence-Based Screening Algorithm for Early Identification of Patients with Alzheimer’s Disease and Related Dementia

    • Maryam Zolnoori ;
    • Maxim Topaz

    ADscreen: An Artificial Intelligence-Based Screening Algorithm for Early Identification of Patients with Alzheimer’s Disease and Related Dementia


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    Extracting Cancer Chemotherapy and Response Information from Clinical Notes following the RECIST Definition

    • Xu Zuo ;
    • Natalie Gregoriou ;
    • Ashok Kumar ;
    • Jianfu Li ;
    • Jeremy Warner ;
    • Yang Ping ;
    • Hua Xu

    Extracting Cancer Chemotherapy and Response Information from Clinical Notes following the RECIST Definition


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