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Full Product Realization Support
We modernize delivery models without disrupting compliance. Reduce your cycle times, lower operational friction, and achieve predictable delivery.
Reliable eCOA platforms start with testing maturity. Deliver releases faster, with confidence and regulatory trust.
We support the entire eCOA product lifecycle, helping you move from concept to compliant, scalable, and continuously optimized platforms.
From early ideation through development, validation, launch, and long-term modernization, our teams ensure your product delivers measurable clinical, operational, and business impact—without compromising quality or compliance.
KMS works with organizations across the life sciences ecosystem that design, build, and operate core eClinical systems essential to modern clinical trials.
Our experience spans CTMS (Clinical Trial Management Systems) that orchestrate trial planning and operations, eCOA (Electronic Clinical Outcomes Assessment) platforms that capture high-quality patient-reported and clinician-reported data, and CDMS (Clinical Data Management Systems) that ensure accurate, compliant collection and management of clinical trial data.
A global leader in life sciences digital transformation, this customer provides an AI-powered and expert-led platform, helping life sciences organizations accelerate innovation and improve outcomes for millions of patients.
KMS helped ensure applications were released with shorter cycle time, high quality confidence, and increased velocity–achieving zero critical defects in final UAT, a 35% reduction in implementation cycle time, and a 25% increase in services revenue per study through a new UAT-as-a-Service model.
This ePro provider relied on a waterfall testing process that stretched 15+ days. Over 21% of studies shipped with critical defects each month, driving productivity loss, compliance overhead, and costly delays.
KMS modernized the approach, cutting test cycle times by more than 50% and driving post-release defects to nearly zero. With a highly skilled QA team from KMS, the organization achieved a 58% reduction in manual labor, a 60% reduction in overall testing effort, and the capacity to onboard new clients faster while accelerating time-to-market.
This organization needed to scale its engineering organization to keep up with rising support-ticket and product-defect backlogs, while accelerating new feature development and data analytics initiative for this leading clinical trials solution.
Within six months, KMS became a key contributor to the product roadmap, enabling faster delivery of high-value functionality, improved customer support capacity, and accelerated revenue growth—helping the company scale to over 1 million active trial participants and support 25,000 investigative researchers across 80 countries.
Decentralized and hybrid trials, complex regulatory environments, and rising patient expectations have elevated the operational demands on eCOA platforms. Beyond accurate data capture, modern systems need to integrate seamlessly, scale globally, automate validation, and surface real-time insights. AI and modernization initiatives are essential for reducing cycle times, improving data quality, and enabling sponsors to run faster, more confident trials.
AI is transforming eCOA platforms from passive data-capture tools into intelligent clinical enablement systems. By automating validation and documentation, analyzing patient-reported data in real time, and predicting risk or dropout, AI reduces operational friction and improves trial quality. Vendors adopting AI can deliver faster implementations, higher data confidence, and more patient-centric experiences—making AI a competitive differentiator in a crowded eCOA landscape.
We support eCOA software providers, CROs, sponsors, and life sciences organizations involved in designing, implementing, and operating eClinical platforms. Our teams specialize in complex, regulated environments that require precision, scalability, and compliance.
Common challenges include:
We address these through product engineering, quality automation, and AI-driven optimizations.
We shorten delivery timelines by:
The result is faster releases without compromising compliance or quality.