Every data point that supports the safety and performance of a device passes through the eCRF before it is analyzed, reported and submitted. A well-designed form improves data quality, lightens the load on sites and shortens the path to database lock. A poor one produces inconsistent data, frustrated investigators and avoidable delay.
Chief Data Officer
Biometrics & Data Systems
in clinical data systems, biometrics and statistical reporting
Head of Quality & Compliance
ISO 14155 & data integrity
in quality systems and inspection readiness for device studies
Chief Operating Officer · former TÜV SÜD Senior Reviewer
in device evaluation and Notified Body review
Investigators, study coordinators and research nurses interact with the eCRF throughout the study. Usability is not a nicety here, it is a direct input to data quality.
Form design is one workstream inside clinical data management, and it is settled in the data management plan before the database is built.
The protocol drives the form, never the other way round. Then the form is shaped around the people who have to complete it forty times.
Each field traces to a study objective, an endpoint, safety monitoring, an analysis or a regulatory report. Collecting data because it might be useful later burdens sites and creates error opportunities.
Logical grouping, consistent layouts, clear labels and instructions, minimal scrolling, simple navigation, familiar clinical terminology.
Divide information into logical sections, separate forms per visit or assessment, no duplicate entry. Too much on one page is the most common design mistake.
Align with the protocol, clinical practice, regulatory guidance and controlled vocabularies. Cardiac disorder, not heart issue. Consistency is what makes coding and analysis possible.
Require only what is essential for safety, eligibility, primary endpoints or regulatory reporting. Making everything mandatory encourages inaccurate entries just to proceed.
Store date of birth and derive age. Two fields representing the same information will eventually disagree, and someone will have to reconcile them.
A form that works in one country is not automatically a form that works across the study. Language versions, readability and regional ethics review of the screens are planned before the database is frozen.
Language versions, screen readability and national wording are settled before the database is frozen, because changing a live form costs a validation cycle.
Edit checks improve quality by catching issues at entry. They damage quality when there are so many that investigators stop reading them.
Age cannot be negative. Blood pressure and heart rate stay within plausible clinical limits. Device measurements are in the expected unit.
Informed consent cannot be dated after the first study visit. Follow-up visits occur after baseline. Implantation precedes explantation.
Pregnancy questions do not appear for male participants. A withdrawal is not followed by scheduled visits.
A serious adverse event on one form requires the corresponding safety forms to be completed.
The adverse event detail section appears only when an event is reported. Irrelevant fields stay hidden, which cuts entry time and errors.
Validation intensity follows the importance of the variable, which is the core of risk-based data management.
Medical device investigations collect information that has no equivalent in drug studies, and it is the information the MDR traceability requirements care about most.
Structured capture of these fields is what makes device accountability reconstructible years later, whether for a clinical evaluation report, a device registry or a Notified Body question.
Every eCRF undergoes comprehensive user acceptance testing before enrollment. Testing done only by the people who built the form finds only the errors they did not think of twice.
Clinical users take part, because the question is not only whether the system behaves correctly but whether it supports the real workflow at a site. This runs alongside clinical monitoring preparation and the wider study start-up.
The mistakes that cost most. Unnecessary data, overly complex forms, excessive mandatory fields, inconsistent terminology, duplicate variables, poor navigation, too many edit checks, insufficient testing, and ignoring investigator feedback. Nearly all of them are difficult and expensive to correct once enrollment has started.
The form has to support ISO 14155, ICH GCP E6, the EU MDR, FDA expectations and 21 CFR Part 11 where applicable, and it has to make the ALCOA+ principles achievable in practice.
The audit trail records who entered what and when, without the site having to do anything extra.
Entries are unambiguous, and the original value survives every correction.
Validation catches the implausible; the form structure makes omissions visible rather than silent.
One terminology across forms and visits, exportable in a form biostatistics can analyze years later.
A good design can be built on most modern platforms, and a weak design will not be saved by an expensive one. Choose the form structure from the protocol, then check the platform can build it without heavy programming. We are vendor-independent, so the recommendation follows the study.
Published work and client evidence, not claims.
Where form design sits in the wider data lifecycle.
The EDC system is the software platform used to collect and manage clinical data. The eCRF is the electronic form inside that platform where investigators enter study data. Choosing the platform is covered on the EDC selection page.
There is no target number. Each check should identify a discrepancy that someone would act on. A check that generates queries nobody uses costs site goodwill and buys nothing.
Yes, but every change means a revalidation cycle, potentially a database migration for data already entered, and retraining at sites. This is why user acceptance testing before enrollment pays for itself.
Data management owns the build, clinical operations checks it is usable at site level, biostatistics confirms the data supports the planned analysis, and regulatory checks what has to be reportable. Investigator feedback before freeze is worth more than any of them.
Yes. We are vendor-independent and work in the sponsor platform where one is already in place, or help select one where it is not.
As external sources with their own transfer specification and reconciliation rules, defined in the data management plan. The eCRF makes clear which values were entered at the site and which arrived from another system.
Send us the protocol and the draft form set. We come back with a design review against the protocol and the analysis plan, the fields that will generate queries, and the device-specific data that is usually missing.
Your documents are reviewed confidentially. An NDA can be put in place before we receive any technical or clinical information. You can also reach the team through the contact page.
Whitepaper, BSI and Eclevar
on the EU MDR
Client testimonial,
RegenLab