Steven D. Bedrick, Ph.D.

  • Associate Professor of Medical Informatics and Clinical Epidemiology, School of Medicine

Biography

My work falls into two broad areas of work:

  1. Applying speech and language technologies to problems relating to communication disorders, both in terms of assessment as well as Augmentative and Alternative Communication applications
  2. Automated analysis of scientific literature and electronic medical record data

Research Interests

From a clinical perspective, my research interests include:

  • Patient cohort discovery from electronic medical records
  • Information extraction and data mining in free-text clinical notes
  • Automated summarization of clinical text, both for providers and for patients
  • Automated approaches to screening for and otherwise assessing language and communication disorders, both in pediatric and adult populations
  • Language deficits in post-stroke aphasia
  • Confrontation naming tests
  • Autism Spectrum Disorder
  • Augmentative and alternative communication
  • Automation to support systematic reviews and evidence-based medicine
  • Brain-computer interfaces for communication

From a computational perspective, my research interests include:

  • Evaluation of machine learning algorithms, particularly including large language models
  • Information retrieval
  • Text normalization
  • Computational analysis of dialogues & discourse
  • Vector-space models of lexical and document semantics
  • Hierarchical and temporal document representations
  • Human-computer interaction
  • Language modeling (including both classical finite-state approaches as well as modern neural methods)
  • CS curriculum development

From both perspectives, I also have a strong research interest in the societal and ethical implications that arise from speech and language technology, particularly regarding healthcare.

Education

As an instructor in the Biomedical Informatics graduate program, I teach the following courses:

  • BMI 5/625 Principles and Practice of Data Visualization
  • CS 562/662 Natural Language Processing

I also carry out ad hoc educational activities around a wide range of informatics topics at OHSU via workshops, guest lectures, etc.

Areas of interest

  • Natural Language Processing
  • Information Retrieval
  • Data Visualization
  • Assistive Technology
  • Augmentative & Alternative Communication
  • Aphasia
  • Machine Learning and Artificial Intelligence

Publications

Publications

  • Provider perspectives on equity in use of mobile health autism screening tools

    Autism
    1. Katharine E. Zuckerman
    2. Luis Andres Rivas Vazquez
    3. Yesenia Morales Santos
    4. Plyce Fuchu
    5. Sarabeth Broder-Fingert
    6. Jill K. Dolata
    7. Steven Bedrick
    8. Jasmine Fernandez
    9. Eric Fombonne
    10. Benjamin W. Sanders
  • Automating intended target identification for paraphasias in discourse using a large language model

    Journal of Speech, Language, and Hearing Research
    1. Alexandra C. Salem
    2. Robert C. Gale
    3. Mikala Fleegle
    4. Gerasimos Fergadiotis
    5. Steven Bedrick
  • Consistency and reliability of automated language measures across expressive language samples in autism

    Autism Research
    1. Heather MacFarlane
    2. Alexandra C. Salem
    3. Steven Bedrick
    4. Jill K. Dolata
    5. Jack Wiedrick
    6. Grace O. Lawley
    7. Lizbeth H. Finestack
    8. Sara T. Kover
    9. Angela John Thurman
    10. Leonard Abbeduto
    11. Eric Fombonne
  • Mobile and online consumer tools to screen for autism do not promote equity

    Autism
    1. Benjamin W. Sanders
    2. Steven Bedrick
    3. Sarabeth Broder-Fingert
    4. Shannon A. Brown
    5. Jill K. Dolata
    6. Eric Fombonne
    7. Julie A. Reeder
    8. Luis Andres Rivas Vazquez
    9. Plyce Fuchu
    10. Yesenia Morales
    11. Katharine E. Zuckerman
  • ParAlg

    Journal of Speech, Language, and Hearing Research
    1. Marianne Casilio
    2. Gerasimos Fergadiotis
    3. Alexandra C. Salem
    4. Robert C. Gale
    5. Katy McKinney-Bock
    6. Steven Bedrick
  • Refining Semantic Similarity of Paraphasias Using a Contextual Language Model

    Journal of Speech, Language, and Hearing Research
    1. Alexandra C. Salem
    2. Steven Bedrick
    3. Robert Gale
    4. Marianne Casilio
    5. Mikala Fleegle
    6. Gerasimos Fergadiotis
  • The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era

    npj Digital Medicine
    1. Andrew Wen
    2. Huan He
    3. Sunyang Fu
    4. Sijia Liu
    5. Kurt Miller
    6. Liwei Wang
    7. Kirk E. Roberts
    8. Steven D. Bedrick
    9. William R. Hersh
    10. Hongfang Liu
  • “Um” and “Uh” Usage Patterns in Children with Autism

    Journal of autism and developmental disorders
    1. Grace O. Lawley
    2. Steven Bedrick
    3. Heather MacFarlane
    4. Jill K. Dolata
    5. Alexandra C. Salem
    6. Eric Fombonne
  • Methodology and preliminary data on feasibility of a neurofeedback protocol to improve visual attention to letters in mild Alzheimer's disease

    Contemporary Clinical Trials Communications
    1. Deirdre Galvin-McLaughlin
    2. Daniel Klee
    3. Tab Memmott
    4. Betts Peters
    5. Jack Wiedrick
    6. Melanie Fried-Oken
    7. Barry Oken
    8. Deniz Erdogmus
    9. David Smith
    10. Steven Bedrick
    11. Brandon Eddy
    12. Michelle Kinsella
    13. Matthew Lawhead
    14. Aziz Kocanaogullari
    15. Shiran Dudy
  • Using Publicly Available Reddit Data to Understand How Parents Choose Pediatricians

    Journal of Consumer Health on the Internet
    1. Chionye Ossai
    2. Steven Bedrick
    3. Benjamin Orwoll
  • A Pseudo-Value Approach to Analyze the Semantic Similarity of the Speech of Children With and Without Autism Spectrum Disorder

    Frontiers in Psychology
    1. Joel R. Adams
    2. Alexandra C. Salem
    3. Heather MacFarlane
    4. Rosemary Ingham
    5. Steven D. Bedrick
    6. Eric Fombonne
    7. Jill K. Dolata
    8. Alison Presmanes Hill
    9. Jan Van Santen
  • Comparing Scribed and Non-scribed Outpatient Progress Notes

    AMIA ... Annual Symposium proceedings. AMIA Symposium
    1. Adam Rule
    2. Sarah T. Florig
    3. Steven Bedrick
    4. Vishnu Mohan
    5. Jeffrey A. Gold
    6. Michelle R. Hribar
  • Evaluating atypical language in autism using automated language measures

    Scientific Reports
    1. Alexandra C. Salem
    2. Heather MacFarlane
    3. Joel R. Adams
    4. Grace O. Lawley
    5. Jill K. Dolata
    6. Steven Bedrick
    7. Eric Fombonne
  • Length and redundancy of outpatient progress notes across a decade at an academic medical center

    JAMA Network Open
    1. Adam Rule
    2. Steven Bedrick
    3. Michael F. Chiang
    4. Michelle R. Hribar
  • Searching for scientific evidence in a pandemic

    Journal of Biomedical Informatics
    1. Kirk Roberts
    2. Tasmeer Alam
    3. Steven Bedrick
    4. Dina Demner-Fushman
    5. Kyle Lo
    6. Ian Soboroff
    7. Ellen Voorhees
    8. Lucy Lu Wang
    9. William R. Hersh
  • Detecting rare diseases in electronic health records using machine learning and knowledge engineering

    PloS one
    1. Aaron M. Cohen
    2. Steven Chamberlin
    3. Thomas Deloughery
    4. Michelle Nguyen
    5. Steven Bedrick
    6. Stephen Meninger
    7. John J. Ko
    8. Jigar J. Amin
    9. Alex J. Wei
    10. William Hersh
  • Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task

    JAMIA Open
    1. Steven R. Chamberlin
    2. Steven D. Bedrick
    3. Aaron M. Cohen
    4. Yanshan Wang
    5. Andrew Wen
    6. Sijia Liu
    7. Hongfang Liu
    8. William R. Hersh
  • Implementation of a cohort retrieval system for clinical data repositories using the observational medical outcomes partnership common data model

    JMIR Medical Informatics
    1. Sijia Liu
    2. Yanshan Wang
    3. Andrew Wen
    4. Liwei Wang
    5. Na Hong
    6. Feichen Shen
    7. Steven Bedrick
    8. William Hersh
    9. Hongfang Liu
  • SSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments

    Frontiers in Human Neuroscience
    1. Betts Peters
    2. Steven Bedrick
    3. Shiran Dudy
    4. Brandon Eddy
    5. Matt Higger
    6. Michelle Kinsella
    7. Deirdre McLaughlin
    8. Tab Memmott
    9. Barry Oken
    10. Fernando Quivira
    11. Scott Spaulding
    12. Deniz Erdogmus
    13. Melanie Fried-Oken