Powering Innovation and Translational Science with OCTRI Informatics

A data dashboard visualized above a laptop with a hand on the laptop.

Mission and goals

OCTRI Informatics accelerates translational research by providing a full suite of informatics tools for bench-to-bedside, clinical, and health care systems research. The program achieves its objectives by:  

We encourage you to meet with program staff early in the study planning stage to ensure an appropriate solution design and budget. Please submit a request for an informatics consultation.  

For more information on this program's mission and goals, please review the OCTRI Informatics Strategy document.

Innovation Core: Custom applications and research repositories to meet complex needs

The OCTRI Informatics Innovation Core supports investigators and projects using an array of innovative technologies and expertise. Review our services and how to access them below. 

Custom applications to manage clinical research data

The Innovation Core can create custom applications to manage clinical research data. Features include:

  • A web interface for quick browsing and entry of data
  • Custom imports to bring spreadsheets into a structured and auditable format with security and regular backups built in
  • Integration with other resources to pull in demographics, labs, and genomics data automatically
  • Data pipelines in R or Python to perform analysis or build reports 

Novel research applications to support your unique research needs

Icon of a bright libulb rising out of a computer monitor.

If your study requires an application to support either the data collection or exploration of a domain, we can deliver a custom solution that meets OHSU regulatory and security guidelines. 

Web-based patient/participant interventions

We can develop applications to support participant interventions, either for recruitment, participant-reported outcomes, or other purposes.

These interventions provide participants with the tools to participate in your study either by collecting responses or sharing important details regarding the study. 

Research repositories and registries

The Innovation Core builds custom research repositories and registries. Benefits and options include:

  • Access controls to ensure that only your team can log in, with roles and permissions controlling what each member can see and do.
  • A source of truth for published results
  • Insights into the study population through reports and exploration
  • Population with data from the EHR and regular updates as new encounters occur in Epic

Data driven dashboards

Icon of a data dashboard, which includes a bar graph on top and a pie chart and line graph on the bottom.

The Innovation Core will work with you to structure and visualize your data.

Read more about data dashboards or see the Project Spotlight below for a project with an OHSU faculty member. 

How to access Innovation Core services

Avatar with short hair and a blue sweater.

To reach the Innovation Core, please contact an OCTRI Navigator: 

503-418-9790
octri@ohsu.edu 

or complete the OCTRI Resource Request Form.

Details on working with the Innovation Core

Our team works in an agile development environment, collaborating closely with you to design the best solution for your project. We can provide an estimate to support your grant application, including longer term collaborations funded by FTE on a grant. 

Common features we consider for all projects

  • User roles and permissions 
  • Integrations with other systems, including FHIR applications
  • User controlled managed content 
  • Reporting functionality 
  • HIPAA compliance and IRB expiration monitoring 

Advantages to working with us

  • Hosting/Maintenance 
  • Secure coding practices 
  • Authentication/Security* 
  • Auditing* 
  • Expertise in navigating OHSU regulatory and security requirements

(*) required by OHSU 

Innovation Core Project Spotlight

Health of Oregon Adults with Disabilities - Medicaid Data

Illustration of a data analytics dashboard showing interconnected visual elements, including a segmented pie chart, vertical bar graph, and user profile icons linked by data lines, representing integrated data visualization and performance tracking.

The Innovation Core built a dashboard for the OHSU University Center for Excellence in Developmental Disabilities to visualize Medicaid claims data about the health of individuals with intellectual and developmental disabilities in Oregon. The goal of the project is to identify and close policy gaps to improve the health and quality of life of individuals with disabilities. 

Review the full story and dashboard examples in the Project Spotlight Summary

Research Data Services: Using Epic® data for research purposes

OCTRI maintains a repository of Epic data from patients and research subjects. This valuable resource, called the Research Data Services (RDS), provides access to over 2.5 million patient records with 20 million patient encounter records and more than 40,000 data points. OCTRI staff can act as your guide through this complex data.

RDS research uses

Icon of a data servier surrounded by computers that are all sending data to it for storage.

You can use the RDS for a broad range of research purposes, including:  

  • Deidentified data sets for epidemiological studies 
     
  • Data sets that identify potential study participants or gather retrospective data on current participants  
     
  • Automated data marts and/or data feeds that provide up-to-date population demographics for individual research projects 
     
  • Natural language processing applications for electronic health record notes 

Data types and counts

Data Type RDS Count OMOP Count*
Total patients 4M 3.9M
Inpatient encounters 285K 406K
Emergency encounters 627K 614K
Outpatient encounters 107M 80.5M
Lab results 340M 209M
Microbiology 3.5M NA
Medication results 69M 76M
Total diagnoses 206M 84M
Total procedures 243M 127M

OHSU's OMOP repository

The RDS leverages an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) repository to access extensive electronic health record notes for usage in Natural Language Processing (NLP) applications.  

The OMOP CDM is an open community data standard, designed to standardize the structure and content of observational data and to enable efficient analyses that can produce reliable evidence (OHDSI.org).

Recent enhancements to the OHSU OMOP repository have included augmenting the data with demographic data (REALD) and other valuable data sets. We are in the process of implementing software tools to allow access to the data, perform analysis, and generate visualizations.

Implemented note types

The OMOP repository has both the raw note text, as well as data structures for NLP artifacts. Implemented note types include: 

  • Progress notes  
  • Discharge Summaries  
  • ED notes  
  • H&P  
  • Op Note  
  • Procedures  
  • EEG Reports  
  • Solid tumor pathology reports  
  • Hematopathology reports  
  • Radiology reports (X-ray, CT scan, MRI scan readings)  

How to access RDS services

Avatar with short hair and a blue sweater.

To reach the RDS team, please complete the OCTRI Resource Request Form or email: octri@ohsu.edu 

TriNetX: A cohort-building and discovery tool

OCTRI Informatics, in collaboration with the Information Technology Group (ITG) and Office of the Chief Research Information Officer (CRIO), supports access to TriNetX, a sophisticated cohort-building and discovery tool. TriNetX maintains the broadest federated network of real-world healthcare data. Study teams can use TriNetX to explore and analyze OHSU patient data, as well as data from over 235 TriNetX member organizations.  This includes clinical data on 2 million OHSU patients, in addition to over 145 million patients in the Research Network.

For cancer-related studies, note that the detailed oncology, lab, and genomic data you need may not be available in the TriNetX platform.  Please reach out to the Knight Data Operations Team (zheng@ohsu.edu) for support with custom datasets.  

To gain access to TriNetX, you must first complete the required training in Compass. 

Use cases and accessing data

The OHSU data in TriNetX is de-identified. Data from all OHSU clinical sites is included in TriNetX; genetic opt-out patients and affiliate data are excluded. TriNetX users can build queries and obtain patient counts from OHSU and other participating sites prior to Institutional Review Board (IRB) approval. Searchable taxonomies include demographics, diagnoses, procedures and surgeries, medications, laboratory results, patient visits, and vital signs. 

Researchers can use TriNetX to:  

  • Assess the feasibility of a study
  • Identify patients meeting inclusion/exclusion criteria
  • Begin study planning prior to submission to the Institutional Review Board 

After building a cohort, investigators can request row-level patient data or an identified OHSU patient list from the OCTRI RDS team with proper IRB approval. To learn more or to request a dataset, contact octri@ohsu.edu.

Data Type Caboodle Count TriNetX Count
Total Patients* 2,094,582 2,025,480
Diagnoses 158M 153M
Procedures 145M 136M
Medications 223M 526M^
Lab Results 362M 293M

*This count excludes patients who have opted-out of genetic research. Patients who have only been seen at an OHSU Affiliate location (Hillsboro Medical Center, MCMC, or Adventist) are likewise excluded. To be included in this count, patients must have at least one ambulatory, emergency, inpatient, or virtual visit at OHSU. 

^The TriNetX definition of medication is expansive and includes the following: ordered meds; meds dispensed in an outpatient setting; meds administered in an inpatient setting; and immunizations. 

TriNetX Training Program

TriNetX Training Program – This robust, comprehensive training program offers additional live and pre-recorded training videos, answers to FAQs, and guidance on common topics. (Note: Requires OHSU TriNetX training and account to access.) 

TriNetX Research Planner

TriNetX Research Planner – This interactive chatbot, designed by researchers at University of California Riverside, is designed to help medical students and faculty plan their TriNetX research projects. 

TriNetX Data Dictionaries

TriNetX Data Dictionaries – This page contains downloadable data dictionaries for each of TriNetX’s main subject areas (demographics, medications, procedures, etc.). (Note: Requires OHSU TriNetX training and account to access.)

Partner with OCTRI on clinical research data initiatives

OCTRI Informatics and the OHSU Knight Cancer Institute have formal collaborations around clinical research data enhancement and natural language processing that leverage the RDS, as well as expertise and strengths within each institute. Read more about the OCTRI-Knight partnership below.

If you are interested in developing a partnership similar to the one with the Knight Cancer Institute for your center, department, or division, then please contact Dr. Mohammad Adibuzzaman, co-Director of OCTRI Informatics: adibuzza@ohsu.edu 

Knight Data Enhancement Pilot 2019

OCTRI Informatics and the OHSU Knight Cancer Institute launched a Knight Data Enhancement Pilot in July of 2019. The premise for this pilot was to:

  1. Ensure data from the RDS were available to IRB approved protocols in a timely and accurate fashion
  2. Provide dedicated analyst support to assist in discovery of additional data elements needed for Knight clinical and translational research
  3. Improve efficiency for data curators by use of data feeds and support from natural language processing (NLP)
  4. Maximize the use of the OHSU Research Data Services to support the mission of the Knight Cancer Institute

The initial focus was to automate manual data pulls from the RDS into the Knight Data Management system (Knight DMS). The use case for the pilot was the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART), the flagship project of the Knight Cancer Institute’s precision oncology program. This was done by the Knight funding 2 FTE in the OHSU Research Data Services Team to provide data engineering and analyst support for Knight Data Operations. The pilot proved to be cost effective, allowed scaling and reduced errors. This automated 9 previously manual data feeds, as well as creating 3 new automated data pulls, given the dedicated analyst support.

Knight Data Enhancement Program 2020

Based on this early success, the Knight Data Enhancement Program (DEP) was formed in January 2020 as part of the Knight Strategic planning computational roadmap, co-lead by Dr. Shannon McWeeney, Chief Data Officer for the Knight.  This program actively supports SMMART, Brenden-Colson Center for Pancreatic Care , BeatAML, and  other key Knight Cancer Institute programs and efforts. It was critical for the Cancer Covid-19 Consortium during the height of the pandemic. Overall, the DEP and its integration with Knight DMS has led to a 5X increase in efficiency for incorporating new data elements/feeds. In addition, the Knight leverages its partnership with OCTRI NLP for unstructured data. 

For Knight investigators wishing to learn more about Knight DEP, please contact Dr. Christina Zheng, Director of Knight Data Operations: zheng@ohsu.edu.

RDS Project Spotlights

Customized database of patients with opioid use disorder to identify potential treatments

Cartoon of two physicians standing on either side of a large pill bottle with pills on the ground, a cloud coming out of the bottle, and a data network floating above the cloud.

The OCTRI RDS team collaborated with Dr. Ryan Cook, OHSU additiction medicine expert, to build a database of 10,000+ patients with opioid use disorder containing information on medical services, lab tests, medications, hospital stays, clinical notes, social determinants of health, and more.

This database will be used to identify which interventions may most effectively reduce drug use and promote engagement in substance use disorder care.  

Read the full story in the Project Spotlight Summary.

Customized dataset for study of postpartum maternal health

Icon of a person with shoulder length hair holding a baby.

The OCTRI RDS team helped DMICE faculty, Dr. Nicole Weiskopf, and her trainee, Ayo Babatunde, an OHSU researcher, assess data requirements necessary to answer research questions related to maternal health during the postpartum period and supported the data extraction process.

This data set will be used for a retrospective study to identify and understand threats to validity when studying maternal morbidity.  

Read the full story in the Project Spotlight Summary.

Leadership and Teams

Professional portrait of Dr. Mohammad (Adib) Adibuzzaman, Co-Director of OCTRI Informatics.
Professional portrait of Dan Bendelic, OCTRI Informatics Program Manager.
octri_izabelle_humes_headshot

Izabelle Humes (she/her)

Senior Research Project Manager

humes@ohsu.edu

Professional portrait of Danny Wilmer, OCTRI Informatics Program Technician.

Danny Wilmer (he/him)

Informatics Project Coordinator

wilmer@ohsu.edu

Professional portrait of Erik Benton, OCTRI Informatics

Erik Benton (he/him)

Research Engineer, Sr / Technical Lead 

benton@ohsu.edu

Headshot of Rumel Mahmood.

Rumel Mahmood

Research Engineer, Sr

mahmoodr@ohsu.edu

Grey gradient

Imogen Bentley (they/them)

Systems and Applications Analyst

Professional portrait of Heath Harrelson, OCTRI Informatics Research Engineer

Heath Harrelson (he/him)

Research Engineer

Grey gradient

Matthew Lawhead (he/him)

Research Engineer, Sr

Grey gradient

Vijet Muley, MS (he/him)

Research Engineer

Professional portrait of Amy Yates, OCTRI Informatics Research Engineer.

Amy Yates (she/her)

Research Engineer

OCTRI

Headshot of Jiro Inoue.

Jiro Inoue
Research Engineer, Sr / RDS Analyst Lead
inouej@ohsu.edu

Professional portrait of Alina Dunbar, OCTRI Informatics RDW Analyst

Alina van Lunteren, MPH (she/her)
Research Data Services Analyst

Professional portrait of Tim Kilgore, OCTRI Informatics Senior Research Engineer.

Tim Kilgore (he/him)
Research Engineer, Sr

Professional portrait of Sara Marinucci-Seevers, OCTRI Informatics Research Data Warehouse Analyst

Sara Marinucci-Seevers (she/her)
Research Data Services Analyst

OHSU Business Intelligence & Advanced Analytics

Grey gradient

Susan Myers (she/her)
Application Engineer, Research Analytics & Big Data

Grey gradient

Rodney Payne (he/him)
Application Engineer, Research Analytics & Big Data

OCTRI-Knight Cancer Institute Partnership

Grey gradient

David McCoy
Data analyst

Professional portrai of Ocean Murff.

Ocean Murff
Application Engineer

Avatar with short hair and a blue sweater.

Contact an OCTRI Navigator to connect with research resources

503-418-9790
octri@ohsu.edu 

Logo for REDCap, which includes a red baseball cap sitting atop a capital letter R.

Looking for REDCap?

REDCap page

REDCap log in

Need to cite OCTRI?

Please contact the OCTRI Navigator for grant numbers and sample language.

Navigator email: octri@ohsu.edu

Icon of a bar graph with a line graph mapped above it.

Research Data Concierge at OHSU

Get help accessing and working with research data at OHSU.

Visit the Research Data Concierge site

Need OCTRI Informatics rates?

Review our rates list.

OCTRI Rates

Epic for Research Team - an OHSU Information Technology Group 

Separate from the RDS, researchers can also use Epic directly for research-related activities. 

For more information, see the Epic for Research Team’s SharePoint site.