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From Protocol to Production in Weeks, Not Months

Every observational study is unique. Your platform shouldn't force you into rigid templates. Launch cohort studies, case-control studies, pragmatic trials, and cross-sectional research with infrastructure that adapts to your design—not the other way around.

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User interface of Carelane software showing study protocol.

The Observational Research Bottleneck

The biggest barrier in observational research isn't the science—it's translating your carefully designed protocol into a functional study system. This translation problem creates cascading delays, costs, and compromises.

The Protocol Translation Problem

One-Size-Fits-None Software

Hidden Complexity Tax

Scale Without Sustainability

You have a protocol document. You need a working study system. The gap between these two is measured in months of manual work: building CRFs, programming logic, configuring databases, and endless revisions. By the time your system is ready, your protocol may need updating.
Most research platforms were designed for interventional trials and retrofitted for observational work. Need a cohort study? Forced into trial workflows. Want to combine EHR data with patient surveys? Manual workarounds. Each study design fights the system instead of being supported by it.
Even "simple" observational studies demand complex infrastructure: data validation, audit trails, role-based permissions, multi-site coordination, regulatory compliance. Traditional platforms either lack these capabilities or make them prohibitively expensive and complicated to implement.
Your first study works. Now you want to launch three more. Traditional systems require duplicating all the setup effort, maintaining separate environments, and multiplying costs. Running a portfolio of studies becomes unmanageable.

Observational research needs observational infrastructure.

Purpose-Built for Observational Research Flexibility

Carelane solves the core problem: transforming any observational study protocol into a functional, compliant research system—instantly, affordably, and at any scale.

User interface of Carelane software showing study design.

AI-Powered Protocol Digitisation

Upload your protocol document. Our AI reads it, understands your study design, and builds your complete system automatically. Whether it's a prospective cohort study, case-control design, pragmatic trial, or cross-sectional survey, the platform adapts to your methodology. Reduce CRF design and EDC setup time by 60-85% without compromises on design.

True Design Flexibility at Scale

Run cohort studies alongside case-control studies alongside pragmatic trials, all in the same environment. Each study gets the exact data structure, workflow, and validation logic it needs. Launch a single-site pilot study, then scale to 60 sites across 50 countries without rebuilding infrastructure. Our proven platform already supports 170+ active sites managing 1,000+ participants.

Comprehensive Data Integration

Capture data however your study requires it: direct from EHRs via FHIR, patient-reported outcomes through ePRO, laboratory systems, or manual entry. Reduce data collection burden by 50-85% through automated data flows. Use standard clinical terminologies (SNOMED, LOINC, ICD-10) for immediate interoperability.

Operational Automation Across Study Types

Regardless of study design, eliminate 70-95% of routine operational work. Automated  monitoring, protocol deviation detection, query management, and documentation free your team to focus on research questions, not administrative tasks. Scale your research program without scaling your team proportionally.

Proven Across Study Designs and Scales

Research teams across disciplines are using Carelane to execute diverse observational studies—from focused single-site investigations to global multi-site programs.

Any Study Design
Cohort studies, case-control, cross-sectional, pragmatic trials, comparative effectiveness research—all supported with equal fidelity
1,000+
Participants
Studies successfully managing over 1,000 participants with sustained data quality and operational efficiency
170+
Active Sites
Sites currently conducting observational research across academic centers, hospitals, and specialty practices
50
Countries
Global research programs collecting standardized data across diverse healthcare systems and regulatory environments
Launch
in Days
Complete study deployment from protocol finalization to first data collection
60-95%
Efficiency Gains
Dramatic time reductions across setup (60-85%), data collection (50-85%), and operations (70-95%)
Single Environment, Multiple Studies
Academic & Healthcare Settings:
A rare disease registry deployed across 50 countries and 170+ sites, managing over 1,000 participants with:
  • Health system conducting comparative effectiveness research across 20 clinical sites with unified data governance, shared site training resources, and centralized monitoring
CRO Applications:
  • Mid-size CRO managing 12 concurrent observational studies for different sponsors—each with isolated data governance, separate compliance frameworks, and sponsor-specific access controls—all within a single platform instance, eliminating infrastructure duplication
Pharmaceutical Sponsor Applications:
  • Pharmaceutical company running in-house portfolio of 8 post-marketing studies across therapeutic areas with centralized oversight, shared vendor management, and enterprise data standards

Observational Research is the Future of Evidence Generation

Healthcare decisions increasingly rely on real-world evidence from observational studies. The ability to generate this evidence quickly, affordably, and at scale determines which questions get answered and which remain unexplored.

Evidence Democratisation

Important research questions exist at every institution, not just elite academic centres. Infrastructure should enable any team with a good question to generate rigorous evidence, regardless of budget or technical resources.

Portfolio Management

Successful research programs don't run one study—they run many. Infrastructure must support portfolio-level thinking: shared resources, consistent standards, and economies of scale across multiple concurrent investigations.

Methodological Diversity

Different questions require different study designs. Platforms that force every question into the same template limit what questions can be asked. True research infrastructure adapts to methodology, not the reverse.

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Ready to try Carelane?

The only end-to end solution for observational trials.
Unlock research at scale, slashing costs, complexity and friction!

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