The goal of the OCTRI Informatics program is to accelerate translational research by providing a full suite of informatics tools for bench-to-bedside, clinical and health care systems research. Program activities span the translational spectrum, from Translational Bioinformatics to Clinical Research Informatics. The program achieves its objectives to:
Helping researchers leverage EHR/Epic data for studies.
Developing software and customized databases for clinical research data collection and management.
Assisting researchers with the storage, retrieval, sharing and optimal use of biomedical information, data and knowledge.
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.
Entrust your data to REDCap
REDCap is a secure, web-based database designed to support electronic data capture for research studies. This data collection tool is specifically designed to meet the complex needs of research studies in a HIPAA and IRB compliant fashion, freeing investigators to concentrate on science, secure in the knowledge that their data are accessible, of high quality and securely stored.
Research Data Warehouse: Using Epic® for research purposes
OCTRI maintains a repository of Epic data from patients and research subjects. This valuable resource, called the Research Data Warehouse, provides access to over 2.5 million patient records with 20 million patient encounter records and more than 40,000 data points. You can use this resource for a broad range of research purposes, including:
Cohort discovery (counters) for preparation to research purposes
Deidentified data sets for epidemiological studies
Data sets that identify potential study participants or gather retrospective data on current participants
Activities and services within Epic are supported by OHSU’s Information Technology Group Epic for Research Team. This includes Reporting Workbench, Research Orders and Data Collection Tools.
The vast troves of linked clinical data in the Research Data Warehouse can be used in many different ways, such as:
Assessing feasibility for a grant application: How many OHSU Down syndrome patients between 1 and 18 years had a Cardiology Department visit in the last two years?
Identifying potential study participants: Which patients have abnormally high liver function test results, are between 18 and 65 years, are taking anti-hypertensive medication, and were seen in the last six months by an OHSU immunologist?
OCTRI staff can act as your guide through this complex data, or you can query the data yourself with the Cohort Discovery Tool.
Cohort Discovery: Using Epic® to find your study population
Cohort Discovery is a web-based tool that allows OHSU researchers to discover patient cohort counts from Epic data for preparatory to research purposes. Researchers can use this tool to:
- Assess the feasibility of a study
- Identify patients meeting inclusion/exclusion criteria
- Begin study planning prior to submission to the Institutional Review Board
The data is deidentified, but patient data sets can be extracted from saved searches with proper Institutional Review Board approval.
Searchable taxonomies include demographics, diagnoses, medications, procedures, laboratory results, surgeries, patient visits and vital signs.
Cohort Discovery users must take part in an hour-long training prior to gaining access. Tutorials are offered once a month in the BICC 120 Training Room.
Use Compass to register. Registration for training closes three days prior to training date.
The Informatics Research Support Team is here to help. Feel free to send us an email. Our analysts can help with complex queries.
Additionally, OCTRI holds weekly Cohort Discovery Drop-In/Demo Help sessions every month on some Wednesdays from 11 a.m. to 12 p.m. in the School of Nursing, Conference Room 425. Contact us for details.
Custom databases to meet complex needs
Informatics program supports a diverse population of investigators and projects using an array of innovative technologies. We have the staff and expertise to create and maintain sophisticated database software applications. Some examples include:
- Biospecimen and patient registries
- Wireless pen tablet point-of-care data entry
- Remote data collection
- Complex system integration
These projects are generally large-scale multi-year projects with significant budget requirements. Please contact us to discuss your needs.
Develop novel translational bioinformatics methodology
The Translational Bioinformatics component of the Informatics program is focused on development and application of statistical and computational methodologies to solve research bottlenecks and novel ways to visualize and interpret information.
Please contact OCTRI Navigator to request a translational bioinformatics consultation: firstname.lastname@example.org
Get support with Epic for research
Connect with help for working within the Epic interface