Free Lesson Preview
Module 1: Lesson 1
Define ePRO and eCOA, describe CRC responsibilities for electronic outcome assessments, apply source documentation principles to ePRO data, and address common challenges.
A participant enrolled in a clinical trial receives a provisioned smartphone at the enrollment visit. The research coordinator walks the participant through the app installation, demonstrates how to navigate 12 daily questions about headache severity, fatigue levels, mood, and sleep quality, and explains that a notification will arrive every evening at 7:00 PM. The participant taps, scrolls, selects, and submits. The responses transmit directly to the sponsor's data platform. There is no paper diary to collect at the next visit. There is no case report form to transcribe the responses into. The participant's electronic entry is the source data.
This is electronic patient-reported outcome (ePRO) data collection, and it has quietly transformed how a significant proportion of clinical trial data reaches the sponsor's database. For the coordinator, it eliminates one entire category of work -- the transcription step from source to CRF that occupied much of Modules 3 and 4 of this course. But it introduces a different category of work that is, in my experience, less intuitive and more easily neglected: training participants to use the technology, monitoring their compliance through dashboards rather than binder pages, troubleshooting devices that malfunction at 9:00 PM on a Saturday, and understanding the source documentation implications of a system where the participant -- not the coordinator -- creates the official record.
This lesson teaches the operational reality of ePRO and the broader family of electronic clinical outcome assessments (eCOA). It is grounded in the data integrity principles you learned in Module 1 and the source documentation concepts from Module 2, applied to a data collection paradigm where the coordinator's role shifts from data creator to data steward.
Clinical Research Coordinator
Full course · Data Collection and Source Documentation
Free Lesson Preview
Module 1: Lesson 1
Define ePRO and eCOA, describe CRC responsibilities for electronic outcome assessments, apply source documentation principles to ePRO data, and address common challenges.
A participant enrolled in a clinical trial receives a provisioned smartphone at the enrollment visit. The research coordinator walks the participant through the app installation, demonstrates how to navigate 12 daily questions about headache severity, fatigue levels, mood, and sleep quality, and explains that a notification will arrive every evening at 7:00 PM. The participant taps, scrolls, selects, and submits. The responses transmit directly to the sponsor's data platform. There is no paper diary to collect at the next visit. There is no case report form to transcribe the responses into. The participant's electronic entry is the source data.
This is electronic patient-reported outcome (ePRO) data collection, and it has quietly transformed how a significant proportion of clinical trial data reaches the sponsor's database. For the coordinator, it eliminates one entire category of work -- the transcription step from source to CRF that occupied much of Modules 3 and 4 of this course. But it introduces a different category of work that is, in my experience, less intuitive and more easily neglected: training participants to use the technology, monitoring their compliance through dashboards rather than binder pages, troubleshooting devices that malfunction at 9:00 PM on a Saturday, and understanding the source documentation implications of a system where the participant -- not the coordinator -- creates the official record.
This lesson teaches the operational reality of ePRO and the broader family of electronic clinical outcome assessments (eCOA). It is grounded in the data integrity principles you learned in Module 1 and the source documentation concepts from Module 2, applied to a data collection paradigm where the coordinator's role shifts from data creator to data steward.
Clinical Research Coordinator
Full course · Data Collection and Source Documentation
This is just the beginning
The full CRC track covers 8 courses from study start-up to close-out — the skills sponsors actually look for.
Start the CRC trackThis is just the beginning
The full CRC track covers 8 courses from study start-up to close-out — the skills sponsors actually look for.
Start the CRC track