Electronic Data Capture
Building study forms with edit checks that catch errors at entry, since queries resolved later cost far more than validation at the point of capture.
Clinical trial software developers build the systems research studies run on: electronic data capture, randomization, subject management, and the query and monitoring workflows that keep trial data usable. They work under validation requirements, since systems supporting regulated research are subject to computer system validation and inspection.
Trial systems are judged by data integrity rather than by usability alone. A study whose data cannot be trusted produces nothing regardless of how many subjects enrolled, and inspection examines whether the system supported integrity throughout. Validation is the operating condition rather than an addition. Our hire dedicated developers hub covers adjacent roles.

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Work spans data capture, subject management, and the monitoring workflows trials require. The work below reflects that, with verification practices from our quality assurance approach.
Building study forms with edit checks that catch errors at entry, since queries resolved later cost far more than validation at the point of capture.
Building randomization with blinding preservation and emergency unblinding, since assignment integrity is fundamental to what the trial establishes.
Tracking enrollment, visits, and protocol windows, since visits outside protocol windows create deviations that affect analysis.
Building query generation, routing, and resolution, since data cleaning consumes substantial monitoring effort throughout a study.
Recording deviations with categorization, since these are examined during inspection and affect what the trial can conclude.
Building complete change attribution and producing validation documentation, following our certifications and compliance practices.
Trial systems operate under validation, audit trail, and integrity requirements that shape development substantially. The context below spans the healthcare work you assign.
Computer system validation applies and systems are examined during inspection. Documentation is a deliverable rather than internal practice.
Every data change requires attribution with reason. Gaps in audit trail undermine confidence in the data the trial produced.
Unblinding through system access or interface behavior compromises the trial. Blinding is an architectural requirement rather than a policy.
Amendments occur during studies. Systems must accommodate changes without invalidating data collected under prior versions.
Validation at entry costs far less than query resolution afterward, which makes edit check design the highest-leverage work.
Study coordinators at sites have varied experience. Interfaces designed for sophisticated users produce data entry errors.
The differentiating skills are validated development and integrity engineering rather than general application work. The competencies below reflect that.
Working under specification, testing, and traceability requirements with documentation produced during development rather than assembled afterward.
Building configurable study definitions so new studies do not require development, which is what makes a platform rather than a one-off system.
Building validation catching errors at entry with messages site staff understand, since unclear checks produce workarounds rather than corrections.
Implementing assignment with structural blinding protection and controlled emergency unblinding with full audit.
Recording every change with user, time, prior value, and reason, since inspection examines completeness rather than sampling.
Connecting to source systems where applicable, following approaches in our healthcare integration services.
The distinguishing question is whether they worked under validation and inspection. Developers who have not underestimate documentation requirements substantially. Our assessment centers on validation and integrity engineering. Our delivery process includes review points where you can reassess fit.
We ask which validated systems they built and what documentation they produced. Developers without that experience underestimate the requirement.
We ask what changes were recorded. Developers with partial audit trails left gaps that surface during inspection.
We ask how blinding was preserved. Developers relying on interface hiding rather than structural separation risked unblinding through system access.
We ask how validation messages were written. Developers writing technical messages produced site workarounds rather than data corrections.
We ask how mid-study protocol changes were managed. Developers without versioning invalidated data collected under prior protocol versions.
We describe which systems each developer built and under what regime. We do not claim research credentials for developers who lack them.
Engagements should establish validation scope before development. Structures below reflect that, and our engagement models accommodate project or ongoing arrangements.
Working from your quality function’s validation requirements, since documentation obligations follow from those rather than engineering preference.
Suits organizations with established validation processes needing development capacity working within existing controls.
Pairing implementation with separate verification produces cleaner validation evidence than one developer writing code and approving tests.
Where you own the system, staff augmentation adds capacity within your existing validation and documentation practice.
A dedicated healthcare development team covering development, verification, and documentation suits sustained platform work.
Where requirements and validation scope are defined, a fixed-scope build delivers components with validation documentation.
Share your quality system and validation expectations. Those determine documentation obligations more than functional scope does.
Trial systems hold research data affecting what studies conclude. We build to HIPAA-aligned practices where HIPAA applies; software cannot be HIPAA certified. Clinical and research determinations remain with investigators and qualified staff.
Every change is recorded with attribution and reason, and records cannot be altered, since inspection examines the trail’s integrity.
Assignment information is separated architecturally rather than hidden in interfaces, since interface hiding does not prevent access.
Research data contains identifiable subject information requiring restricted access appropriate to role and site.
Protocol deviations are captured and categorized, since suppressing them misrepresents what the study actually did.
Studies involving behavioral health populations require additional protection. We built CHIPSS, a behavioral health system, where such controls were foundational.
We would not build systems with incomplete audit trail, blinding protected only by interface hiding, or capability to alter recorded data without attribution.
Cost exceeds equivalent unvalidated development, with the difference in documentation and testing. Validation execution is separate. We publish no figures on study timelines.
$40,000 to $80,000
A defined component under validation process with specification, testing, traceability, and documentation.
$80,000 to $200,000
Trial platform with study configuration, data capture, randomization, query workflow, deviation tracking, and validation documentation.
Starting at $200,000
Multi-study or multi-site deployment with regulatory variation, extended validation, and integration across research environments.
Discovery is paid and time-boxed. It produces a validation scope assessment, requirement analysis, and an itemized fixed-scope estimate.
Validation documentation depth, study configuration flexibility, randomization complexity, integration scope, and audit trail requirements.
Studies run for years and protocols amend. Budget for revalidation after changes, study configuration support, and platform maintenance.
Third-party licensing, cloud infrastructure, data subscriptions, and hardware are separate from engineering cost and itemised clearly.
Validation execution, regulatory consulting, and study conduct support are entirely separate from our scope and cost.
Two questions matter. Whether the developer has worked under validation, and whether audit trail is complete. Taction Software has built healthcare software since 2013, more than twelve years, with over 200 healthcare projects delivered and ISO 27001 certification. Leadership brings more than twenty years of personal experience in the field, which is separate from company age.
We built Revive Ease and PainKare, both FDA-registered applications. That work established the validated development discipline trial systems require.
We built Voyant Health, an EHR platform, which means we understand the source data trial systems capture from.
We built CHIPSS, a behavioral health system, where subject protection requirements exceeded ordinary clinical systems.
Taction Software holds ISO 27001 certification covering our information security management, described under our certifications and compliance information.
Documentation is generated as work proceeds rather than assembled before validation, which is the difference between credible and reconstructed evidence.
Assignment data is separated architecturally rather than hidden in the interface, since hidden data remains accessible to anyone who looks.
We work from your quality function’s validation requirements, assess your study and configuration needs, then present developers with validated system experience.
A defined component runs $40,000 to $80,000, a trial platform $80,000 to $200,000, and multi-study deployment starts at $200,000. Validation execution is separate.
Our delivery history includes the Voyant Health EHR platform, the CHIPSS behavioral health system, and the FDA-registered applications Revive Ease and PainKare, within more than 200 healthcare projects delivered since 2013.
Because specification, testing, and traceability documentation are deliverables produced during development rather than internal practice, which adds substantial effort.
Structurally, through architectural separation of assignment data rather than interface hiding, since hidden data remains accessible to anyone with system access.
Both are validated systems. Trial software supports study conduct and data capture; pharmacovigilance supports post-market safety reporting.
Share your quality system, validation requirements, study configuration needs, integration requirements, and the engagement model you have in mind. We will produce documentation during development. We do not provide regulatory consulting.
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