In a 2022 site survey published by the Society for Clinical Research Sites, 98% of sites said they manually re-enter data into EDC systems, and nearly 70% of them said more than half of their EDC data is re-entered from existing EHR data (SCRS). The same article notes an average of 96,980 queries per Phase III study, many of them caused by transcription.
For a site, that means the same blood pressure, lab value or concomitant medication is written down at least twice: once in the source and again in the eCRF. Each copy is a chance for error, a query to answer and a data point for the CRA to verify. Integrating eSource with EDC removes the second entry.
|
Activity |
Paper or separate source, then EDC |
eSource integrated with EDC |
|---|---|---|
|
Data capture |
Recorded in source, then typed into the eCRF |
Recorded once, flows to EDC |
|
Time to data in EDC |
Days after the visit, depending on staff time |
Available as soon as the source is complete |
|
Transcription errors |
Possible on every field |
Removed for integrated fields |
|
Queries |
Raised for typos and mismatches |
Focus on clinical questions |
|
Source data verification |
CRA compares source with eCRF field by field |
Integrated fields need no transcription check |
|
Protocol prompts |
Coordinator relies on memory or checklists |
Visit templates follow the schedule of assessments |
The biggest saving is the simplest one. When the site records a visit in eSource and the integrated fields flow to EDC, coordinators no longer re-type them. An Applied Clinical Trials report on an EHR-to-EDC project put the share of trial data duplicated between research systems and hospital records at over 70%, with around 20% of study costs going on duplicating and verifying data (Applied Clinical Trials).
Queries about a mistyped date or a unit mismatch take site time to investigate and answer. When the eCRF value comes straight from the source, those queries disappear, and the queries that remain are about clinical content.
Source data verification checks that the eCRF matches the source. For fields that flow directly from eSource, there is no transcription step to verify, which shortens monitoring visits and frees the coordinator during them.
An eSource visit template built from the schedule of assessments prompts the coordinator for every required procedure at each visit. That reduces missed assessments, which are a common source of protocol deviations.
Data that would otherwise wait for staff time to be entered is available in EDC as soon as the visit is documented. Sponsors and data managers see issues earlier, and sites spend less time on catch-up entry before monitoring visits and data cuts.
FDA's guidance on electronic source data in clinical investigations accepts direct entry of data into eCRFs and electronic transmission from source systems, provided the data originator is identified, an audit trail is kept and investigators can review their data. ICH E6(R3) applies the same principles of data integrity and traceability to computerised systems (ICH E6(R3), EMA Step 5). Integration does not remove the need for a clear definition of what the source is for each data point.
Cloudbyz builds eSource and EDC natively on Salesforce, on the same platform as its CTMS and eTMF. According to Cloudbyz product materials, Cloudbyz eSource supports visit management, eConsent, eCRFs, demographics, medical history and vital signs, AE and protocol deviation capture, lab reports, device integrations, query management and SDV and data review, along with export of data to EDC and portals for sponsors and CROs. Because both sit on one platform, data recorded once at the site can be shared with the study database rather than transcribed. How many fields flow automatically depends on how each study's eSource templates and EDC forms are configured.
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