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:
- Applying speech and language technologies to problems relating to communication disorders, both in terms of assessment as well as Augmentative and Alternative Communication applications
- 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
AutismAutomating intended target identification for paraphasias in discourse using a large language model
Journal of Speech, Language, and Hearing ResearchConsistency and reliability of automated language measures across expressive language samples in autism
Autism ResearchMobile and online consumer tools to screen for autism do not promote equity
AutismParAlg
Journal of Speech, Language, and Hearing ResearchRefining Semantic Similarity of Paraphasias Using a Contextual Language Model
Journal of Speech, Language, and Hearing ResearchThe IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era
npj Digital Medicine“Um” and “Uh” Usage Patterns in Children with Autism
Journal of autism and developmental disordersMethodology and preliminary data on feasibility of a neurofeedback protocol to improve visual attention to letters in mild Alzheimer's disease
Contemporary Clinical Trials CommunicationsUsing Publicly Available Reddit Data to Understand How Parents Choose Pediatricians
Journal of Consumer Health on the InternetA Pseudo-Value Approach to Analyze the Semantic Similarity of the Speech of Children With and Without Autism Spectrum Disorder
Frontiers in PsychologyComparing Scribed and Non-scribed Outpatient Progress Notes
AMIA ... Annual Symposium proceedings. AMIA SymposiumEvaluating atypical language in autism using automated language measures
Scientific ReportsLength and redundancy of outpatient progress notes across a decade at an academic medical center
JAMA Network OpenSearching for scientific evidence in a pandemic
Journal of Biomedical InformaticsDetecting rare diseases in electronic health records using machine learning and knowledge engineering
PloS oneEvaluation of patient-level retrieval from electronic health record data for a cohort discovery task
JAMIA OpenImplementation of a cohort retrieval system for clinical data repositories using the observational medical outcomes partnership common data model
JMIR Medical InformaticsSSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments
Frontiers in Human Neuroscience