Clinical data team spending weeks at study close-out manually cleaning, restructuring, and reformatting data from site paper CRFs before it can be used for the regulatory submission dataset?
Adverse event reported at an investigator site taking 72 hours to reach the sponsor's safety database because the reporting pathway runs through email and a manual data entry step?
Clinical Trial Data Management Software Development
Clinical trial data management sits at the intersection of patient safety, regulatory compliance, and scientific rigour. The systems that manage trial data -- from subject enrolment through to regulatory submission -- need to be designed for the specific protocol, validated for use in the regulated environment, and capable of producing the CDISC-formatted submission data the FDA and EMA expect.
Built with Good Clinical Practice compliance designed in from the first sprint. Audit trail, electronic signatures, query management, and the access control model required for multi-site trials are part of the architecture, not additions to an existing platform.
Electronic data capture with eCRF design configured to the study protocol, with field-level validation and query management built in
Subject enrolment and randomisation with eligibility verification against protocol inclusion/exclusion criteria
AE and SAE reporting workflow with automated regulatory notification timelines and sponsor safety database integration
CDISC SDTM export for regulatory submission, produced from the trial data without manual restructuring
RaftLabs builds custom clinical trial data management software for biotech companies and CROs who need electronic data capture (EDC), eCRF design, protocol management, subject enrolment and randomisation, adverse event and SAE reporting, query management, and CDISC SDTM export for regulatory submission. Most clinical trial data management projects deliver in 16 to 22 weeks at a fixed, agreed cost with full source code ownership.
100+Software products shipped
·FixedCost delivery
·16-22Week delivery cycles
·24+Industries served
Clinical data collected in the right structure from day one eliminates the close-out data cleaning that delays submissions
The most expensive point in a clinical trial data management process is close-out -- when the accumulated data from months or years of subject visits has to be cleaned, reconciled, and restructured for the regulatory submission dataset. The cost is high when the data was not collected in a structured, validated format from the start. Site coordinators entering data into paper CRFs introduce inconsistencies that require queries. Data collected in fields that don't map to CDISC domain structures requires manual transformation. AE data captured in free text rather than structured MedDRA coding requires retrospective medical coding. All of this takes time and introduces risk.
Custom EDC software built for your protocol collects data in the structure your submission requires from the first subject visit. Field-level validation flags inconsistencies at the point of entry, before they become a data cleaning problem at close-out. CDISC domain mapping is designed into the data model, not applied as a post-collection transformation. AE data is captured in structured, coded fields. The result is a submission dataset that reflects the data as collected, with a clean, audited trail from subject visit to FDA review.
What we build
Protocol management and eCRF design
Protocol record capturing the study design, primary and secondary endpoints, visit schedule, inclusion and exclusion criteria, randomisation scheme, and safety monitoring requirements. eCRF design configured to the study protocol, with each visit's data collection forms built from the protocol visit schedule and the data collection requirements for each visit. Form-level and field-level validation rules enforcing the data quality requirements defined in the protocol -- required fields, range checks, date logic, and cross-field consistency checks. Conditional form display where subsequent questions or fields are shown or hidden based on prior answers. Protocol amendment management recording changes to the study design after enrolment starts, with version control on the protocol and eCRF and impact assessment on enrolled subjects' data.
Subject enrolment and randomisation
Subject screening record capturing the screening visit data and eligibility assessment against the protocol inclusion and exclusion criteria, with the eligibility determination recorded and the screen failure reason documented for screen failures. Subject enrolment confirmation requiring the eligibility determination to be completed before the subject is assigned a study number and randomised. Randomisation using the scheme defined in the protocol -- simple, stratified, or minimisation -- with the randomisation list managed centrally and treatment assignment concealed from the investigator site until the point of assignment. Enrolment tracking by site showing current enrolment against target, screen failure rate, and enrolment rate for trial management. Subject withdrawal recording with the withdrawal reason, the date, and the last completed visit. Subject status dashboard showing the current status of every enrolled subject across all sites in real time.
Electronic data capture and query management
eCRF completion by site coordinators through a web application accessible from any device at the investigator site, with offline capability for sites with unreliable internet access. Data entry progress tracking showing which visit forms are complete, incomplete, or outstanding for each subject at each site. Automated query generation when a field value fails validation -- range out of expected bounds, date inconsistency, required field left blank -- with the query displayed to the site coordinator for resolution. Manual query raising by the data management team for data issues that require investigator review. Query response and closure workflow with the query, the response, and the resolution recorded in the audit trail. Data freeze workflow at study close-out preventing further data entry once the database lock has been initiated, with the locked data version retained for submission.
AE and SAE reporting
Adverse event recording in structured fields covering event description, MedDRA coding, onset date, resolution date, severity, relationship to study treatment, and outcome. SAE identification with automatic flagging when the reported event meets the seriousness criteria defined in the protocol. SAE notification workflow triggering the sponsor safety reporting process with regulatory timeline tracking -- 7-day expedited reporting for fatal or life-threatening unexpected SAEs, 15-day reporting for other unexpected SAEs -- with the notification status visible to the pharmacovigilance team. Sponsor safety database integration for transmission of SAE data to the sponsor's global safety database without re-entry. Safety data aggregate view for DSMB or safety review committee, showing AE frequency by system organ class and MedDRA preferred term across all sites and all subjects.
Site management and monitoring
Investigator site file management with the essential documents required for site initiation, ongoing operation, and close-out organised by ICH E6 section and status-tracked for completeness. Monitoring visit scheduling and record management, with the monitoring visit report linked to the site record and findings recorded with corrective action assignment and closure. Protocol deviation recording and categorisation -- major, minor, or potential -- with regulatory reporting determination and corrective action workflow. Site initiation, interim monitoring, and close-out visit scheduling with calendar integration and automated reminder. Investigator and site personnel training record management, showing current training status and recording completion of protocol-specific and GCP training for each site personnel member.
CDISC SDTM export and submission data
SDTM domain mapping configured during the project to map the study's eCRF data fields to the appropriate CDISC SDTM domain variables, using the controlled terminology and coding conventions required for FDA and EMA submission. SDTM dataset generation from the locked study database, producing the domain datasets -- DM, AE, CM, EX, LB, VS, and study-specific domains -- in the SAS XPORT or CSV format required for submission. Define-XML production documenting the dataset structure, variable labels, and controlled terminology for the submission. ADAM dataset derivation for analysis datasets required by the statistical analysis plan. Submission package review capability to validate the SDTM and ADaM datasets against the CDISC validation rules before submission, identifying issues that FDA reviewers would find. The submission data that arrives at the agency ready for review rather than requiring a complete transformation effort after the trial ends.
Frequently asked questions
Yes. The system supports multiple investigator sites in multiple countries, with site-level access control so each site coordinator sees only the subjects enrolled at their site. The eCRF can be configured in multiple languages for sites in non-English-speaking countries, with the data stored in a single central database regardless of site language. Regulatory notification timelines are configured for the relevant regulatory authorities in each country where the trial is conducted.
Clinical trial EDC software is a Category 4 or 5 computer system under GAMP5 and requires full validation before use in a regulated study. We produce the validation documentation -- URS, Functional Specification, IQ/OQ/PQ protocols, and Validation Summary Report -- as part of the development project. The validation approach is agreed at project kickoff, the protocols are executed during testing, and the system is delivered with a complete validation package ready for regulatory inspection. The validation is not a separate engagement -- it is part of what the project delivers.
Yes. Safety database integration is a common requirement for sponsor organisations running multiple studies. We support integration with commercial pharmacovigilance databases via API and with in-house safety databases via structured data exchange. The integration typically covers SAE data transmission from the EDC to the safety database and expedited reporting notification status flowing back to the EDC. The integration specification is agreed during discovery with the pharmacovigilance team.
A focused build covering eCRF design, electronic data capture, query management, AE/SAE reporting workflow, and SDTM export for a single study typically runs $70,000 to $140,000. A platform designed to support multiple studies with subject randomisation, site management, safety database integration, and full validation documentation typically brings the total to $140,000 to $250,000. Fixed cost agreed before development starts, no hourly billing.
Talk to us about your clinical trial data management project.
Tell us your study phase, your therapeutic area, the regulatory authorities you are submitting to, and where your current data management process creates risk or delay. We'll scope the right system and give you a fixed cost with validation documentation included.