The Cohort Discovery is a web-based tool that allows OHSU researchers to discover patient cohort counts from Epic data for preparatory to research purposes. This information contained in Cohort Discovery is de-identified but patient data sets can be extracted from saved searches with proper IRB approval.
USES OF COHORT DISCOVERY
- Assess the feasibility of research studies
- Identify patients meeting inclusion/exclusion criteria
- Pre-IRB study planning
- Laboratory Results including Microbiology
- Patient Visits
- Vital Signs
HOW TO USE COHORT DISCOVERY
To utilize this tool researchers must participate one time in a two hour training prior to gaining access. Tutorials are offered once a month in BICC 120. To register please refer to the User Requirements section.
- Tuesday, September 23, 2014, from 12:30 pm to 2:30 pm
- Thursday, October 30, 2014, from 10:00 am to 12:00 pm
- Wednesday, November 19, 2014 from 12:30 pm to 2:30 pm
- Tuesday, December 16, 2014 from 12:30 pm to 2:30 pm
To register for a tutorial, send an email to OCTRI Informatics Research Support. Pre-registration at least 1 business day in advance is required to attend a Cohort Discovery training.
- Prior to registration attendees must have a current OHSU network log-in with an OHSU user ID and password and an OHSU employee ID number.
- There are 3 pre-requisite (required) trainings in Big Brain that an individual must complete prior to attending the tutorial. The trainings that need to be completed and have a current status as "Completed" are :
- HIPAA - Privacy and You
- RCR for All
- RCR Involving Human Subjects
- Upon arrival at training, individuals will need to sign the Cohort Discovery Access Agreement.
COHORT DISCOVERY HELP SESSIONS
If you've already attended a Tutorial Session and you need help please send an email to the Informatics Research Support Team.
Cohort Discovery utilizes open-source software funded by an NIH cooperative agreement with Partners HealthCare System through the National Center for Biomedical Computing (NCBC) program called i2b2 (Informatics for Integrating Biology and the Bedside).