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Clinion

Buyer’s Guide

6 Best EDC Platforms for Small and Mid-Sized MedTech Companies in 2026

The six best EDC platforms to consider for small and mid-sized MedTech companies in 2026 are Clinion EDC, Castor EDC, Medrio EDC, Viedoc, Medidata Rave Lite, and TrialKit EDC. Medical device sponsors should compare these platforms based on device-specific data capture, study configuration, safety and performance monitoring, regulatory readiness, long-term follow-up, integrations, and implementation costs.

For small and mid-sized medical device companies, clinical studies provide evidence of device safety, performance, and effectiveness. Whether conducting an early feasibility investigation, pivotal study, or post-market follow-up programme, teams need reliable clinical data without the complexity and costs associated with oversized technology deployments.

Medical device trials also introduce requirements that differ from pharmaceutical studies, including procedural outcomes, device accountability, malfunctions, imaging, usability assessments, and extended patient follow-up.

With the publication of ISO 14155:2026 and evolving regulatory expectations, MedTech companies must carefully assess how EDC software supports data integrity, traceability, and clinical evidence generation.

This guide compares six EDC platforms to help medical device manufacturers identify solutions suited to their study designs, resources, and regulatory requirements.

Quick Comparison of the 6 Best EDC Platforms for Small and Mid-Sized MedTech Companies

EDC Platform
Best For
Key Differentiators
Best For
MedTech companies seeking AI-assisted clinical data management
Key Differentiators
Codeless study configuration, AI-assisted data review, natural-language reporting, integrated medical imaging with automated de-identification, and connected eClinical applications
Best For
Device registries and post-market clinical follow-up
Key Differentiators
EDC, ePRO and eConsent; Castor Catalyst for AI-assisted EHR and source-document extraction; dedicated medical device and PMCF study capabilities
Best For
Lean clinical affairs teams managing device studies
Key Differentiators
No-code study configuration, reusable templates, separate testing environment, and flexible changes across feasibility, pivotal, and post-market studies
Best For
Device manufacturers running studies across regulatory markets
Key Differentiators
Self-service study design, concurrent study versions, Inspection Readiness Packet, and dedicated Japan post-marketing surveillance functionality
Best For
MedTech sponsors seeking structured, validated study deployment
Key Differentiators
Focused EDC offering with preconfigured and prevalidated components specifically positioned for early- and late-stage medical device trials
Best For
Device registries, diagnostics, and mobile-enabled studies
Key Differentiators
Mobile-native EDC, configurable registry workflows, integrated eSource and ePRO, and embedded intelligence for study design and analysis

How We Selected These EDC Platforms

We reviewed official vendor documentation, regulatory and security information, medical device use cases, and available independent user feedback. The comparison prioritises documented EDC capabilities, device-study suitability, clinical data quality, usability, regulatory support, and scalability for small and mid-sized MedTech companies.

These platforms are presented for comparison, not as a numerical ranking.

Detailed Reviews of the 6 Best EDC Platforms for Small and Mid-Sized MedTech Companies in 2026

Medical device companies have different data collection requirements depending on their product, investigation stage, and regulatory strategy. The following reviews examine how each platform supports device-related clinical evidence while considering the operational constraints of smaller MedTech teams.

1. Clinion EDC

Medical device studies may generate evidence from clinical assessments, procedural records, imaging, patient-reported outcomes, and extended follow-up visits. Managing these datasets across separate systems can increase data review and reconciliation work, particularly for MedTech companies with limited clinical data management resources.

Clinion EDC combines codeless study configuration with AI-assisted clinical data review and reporting. Its Agentic Assistant enables authorised users to ask questions about study data, generate custom reports, investigate discrepancies, and issue queries within EDC workflows. This can help clinical affairs and data management teams access study information without relying on repeated manual reporting requests.

For imaging-intensive device investigations, Clinion’s DICOM Image Repository offers a further advantage. Medical images can be uploaded, automatically de-identified using AI, and linked directly to subjects, visits, and eCRFs. The platform also supports AI-assisted remote source data verification and connects EDC with ePRO, eConsent, CTMS, RTSM, and eSource applications.

Key features

  • AI-assisted clinical data review, query workflows, and natural-language reporting.
  • Integrated DICOM imaging with automated patient-information de-identification and direct eCRF links.
  • Codeless study configuration, reusable libraries, and connected eClinical applications.

MedTech relevance

Clinion is worth evaluating for medical device companies that need efficient data review across clinical assessments and imaging, particularly when internal teams have limited reporting or programming resources.

Considerations

Confirm the imaging modalities, AI functionality, regulatory documentation, and additional modules required for the intended device investigation.

Pricing: Study-based pricing; available on request.

What Clinion EDC Users Say

Clinion EDC users appreciate its intuitive interface, efficient data management, and flexible reporting capabilities. Reviewers highlight the ability to generate custom reports without programming, identify discrepancies across study sites, and reuse study components. For small and mid-sized MedTech companies, these strengths complement Clinion’s AI-assisted data review and reporting capabilities, helping lean clinical affairs teams manage study data with less manual effort.

2. Castor EDC

Castor EDC has a particularly relevant offering for medical device companies collecting clinical evidence before and after market entry. Its platform supports device investigations, patient registries, and post-market clinical follow-up, with connected ePRO and eConsent capabilities.

A major differentiator is Castor Catalyst, which extracts information from EHRs and clinical source documents using AI, followed by human verification. This can reduce repetitive chart abstraction for registry and follow-up studies. Castor also supports recurring patient-reported assessments, which are useful when devices require extended evaluation of performance and outcomes.

Key features

  • Configurable EDC for device investigations, registries, and PMCF programmes.
  • AI-assisted EHR and source-document extraction through Castor Catalyst.
  • Integrated ePRO and eConsent for long-term patient follow-up.

MedTech relevance

Castor is particularly suitable for manufacturers collecting post-market clinical evidence, registry data, or patient-reported outcomes across extended follow-up periods.

Considerations

Catalyst and professional data management services are separately scoped offerings. Buyers should confirm which capabilities are included in their proposal.

Pricing: Available on request.

What Castor EDC Users Say

Castor users consistently praise its intuitive interface, straightforward data entry, and ease of navigation, even for those without technical expertise. Reviewers also appreciate its organised data collection workflows, clear progress tracking, and support for remote clinical studies. For MedTech companies conducting device investigations or long-term follow-up studies, these strengths can help simplify site participation and maintain consistent data collection.

G2 Rating: 4.6/5 | Read Castor Reviews on G2

3. Medrio EDC

Medrio EDC provides a no-code data capture environment for smaller clinical teams managing studies from early feasibility through pivotal and post-market stages. Its point-and-click builder enables authorised study teams to configure eCRFs, validation rules, and study schedules with limited programming requirements.

An important advantage for MedTech teams is its separate, always-available testing environment. When an investigation protocol changes, teams can assess revised forms or workflows before introducing them into the live study. This supports controlled updates without turning each amendment into a major technical project.

Key features

  • No-code configuration with reusable forms and validation rules.
  • Dedicated testing environment for study changes and user acceptance testing.
  • Connected ePRO, eConsent, and study reporting capabilities.

MedTech relevance

Medrio is a practical option for smaller device manufacturers running feasibility or pivotal studies with lean clinical operations teams and limited internal programming support.

Considerations

Evaluate requirements for complex device data, advanced analytics, and multinational studies, including the implementation support needed.

Pricing: Available on request.

What Medrio EDC Users Say

Medrio EDC users appreciate its straightforward study setup, flexible form configuration, and responsive implementation support. Reviewers highlight the ability to reuse study forms, configure validation rules, and test updates separately from production. For smaller MedTech teams managing feasibility or pivotal studies, these strengths can reduce the technical effort required to launch studies and accommodate protocol changes.

4. Viedoc

Viedoc gives medical device study teams flexibility to configure forms, visits, validation rules, and protocol amendments. Viedoc Designer supports concurrent study versions, allowing changes during active investigations while maintaining existing data.

For MedTech companies entering multiple markets, Viedoc offers a differentiator beyond conventional EDC. Its dedicated Viedoc PMS application supports specific post-marketing surveillance workflows in Japan. The platform also provides an Inspection Readiness Packet containing documentation to support supplier qualification and inspection preparation.

Key features

  • Self-service study configuration and concurrent study versions.
  • Dedicated Japan post-marketing surveillance functionality.
  • Inspection Readiness Packet and configurable study reporting.

MedTech relevance

Viedoc is particularly relevant to manufacturers managing device investigations in different regions or requiring frequent protocol changes without extensive vendor programming.

Considerations

More complex configuration may require specialist expertise. Confirm whether region-specific PMS applications are included in the proposed deployment.

Pricing: Available on request.

What Viedoc Users Say

Viedoc users value its user-friendly interface, versatile study design, and efficient site management capabilities. Reviewers appreciate reusable templates, configurable edit checks, structured user training, and the ability to adapt data collection workflows to different study requirements. For MedTech manufacturers conducting device investigations across multiple sites, these capabilities can support easier site adoption and more consistent clinical data collection.

G2 Rating: 4.5/5 | Read Viedoc Reviews on G2

5. Medidata Rave Lite

Medidata Rave Lite is a focused version of Medidata Rave, developed to support smaller and less complex clinical studies, including early- and late-stage medical device investigations.

Rather than requiring every sponsor to adopt the full enterprise platform, Rave Lite uses preconfigured and prevalidated components to simplify study deployment. Its standard libraries include commonly used forms, fields, edit checks, and functions, helping reduce initial configuration work.

Key features

  • Preconfigured and prevalidated study components.
  • Focused data capture, management, and basic analysis capabilities.
  • Access to Medidata Rave technology through a more targeted offering.

MedTech relevance

Rave Lite is worth considering for device manufacturers that want a structured implementation model and an established clinical data management platform without deploying the full Rave environment.

Considerations

Rave Lite has a narrower scope than full Rave EDC. Sponsors should confirm whether their device-specific forms, integrations, and analytical requirements are supported.

Pricing: Tailored commercial model; available on request.

What Medidata Rave Users Say

Medidata Rave users appreciate its user-friendly interface, flexible study configuration, and ability to manage complex clinical data. Reviewers highlight Excel-based study design, customisable forms and edit checks, integration with other systems, and support for multiple user roles. For growing MedTech companies, these strengths can be valuable when managing increasingly complex or multisite device investigations.

G2 Rating: 4.7/5 | Read Medidata Rave Reviews on G2

Note: This rating and feedback relate to Medidata Rave, not specifically Medidata Rave Lite.

6. TrialKit EDC

TrialKit EDC from Crucial Data Solutions stands out for its mobile-native approach to clinical data collection. The platform supports study configuration, site-entered data, eSource, ePRO, and other clinical workflows through web and mobile applications.

This approach is particularly relevant to device registries and diagnostic studies involving clinicians who need to record information during routine care. TrialKit also provides flexible configuration and embedded intelligence supporting study design, validation, and analysis.

Key features

  • Mobile-native EDC and eSource for site-based, hybrid, and registry studies.
  • Drag-and-drop configuration and amendments without planned downtime.
  • Connected ePRO, eConsent, imaging, and reporting capabilities.

MedTech relevance

TrialKit is particularly suitable for manufacturers conducting clinician-driven registries, diagnostic research, or studies that benefit from mobile data entry and remote participation.

Considerations

Its broad configuration options may require training, particularly for complex study structures. Evaluate implementation effort, mobile workflows, and the reporting capabilities included.

Pricing: Available on request.

What TrialKit Users Say

TrialKit users appreciate its flexible study configuration, mobile accessibility, and responsive customer support. Reviewers, including medical device professionals, highlight the ability to build customised forms, manage clinical data efficiently, and receive assistance with study setup and training. Some also note a learning curve when configuring complex studies. For smaller MedTech companies, these capabilities can support flexible data collection across device investigations and registries.

G2 Rating: 4.5/5 | Read TrialKit Reviews on G2

What Should Small and Mid-Sized MedTech Companies Look for in EDC Software?

Medical device companies should select EDC software based on the clinical evidence their products require, the studies they plan to conduct, and the resources available to manage those studies.

The following six areas deserve particular attention.

1. Device-Specific Data Collection

Medical device investigations frequently involve information that differs from pharmaceutical trial data, including device identifiers, procedural details, malfunctions, replacements, usability assessments, and performance measurements.

Look for configurable eCRFs that accommodate device-related terminology and allow data to be linked to the relevant patient, procedure, device version, or follow-up visit.

Where device accountability records are required, establish whether the EDC or a connected system will maintain them.

2. Regulatory Requirements and Clinical Evidence

Device manufacturers should evaluate the regulatory requirements applicable to their investigation and intended markets.

Important frameworks may include:

  • FDA 21 CFR Part 812: Investigational Device Exemption requirements for applicable US device studies.
  • 21 CFR Part 11: Electronic-record and electronic-signature requirements within its applicable scope.
  • ISO 14155:2026: Good clinical practice for medical device clinical investigations.
  • EU MDR and IVDR: Applicable European clinical investigation, performance study, and post-market evidence requirements.

The EDC should support appropriate audit trails, access controls, validation, data integrity, and record retrieval. However, compliance is determined by the intended use, applicable regulations, and the sponsor’s procedures—not software claims alone.

3. Feasibility, Pivotal, and Post-Market Study Requirements

An early feasibility study may require frequent adjustments to assessments or device-related procedures. A pivotal investigation may place greater emphasis on standardised endpoint collection and data consistency across sites. Post-market studies may involve registries and extended follow-up.

Evaluate whether the platform can adapt to these different study models without rebuilding the entire data management process.

4. Imaging, Patient-Reported Outcomes, and External Data

Some devices are evaluated through imaging, physiological measurements, patient-reported outcomes, or data generated by the device itself.

Check how the platform handles DICOM imaging, ePRO/eCOA, laboratory results, wearables, device-generated measurements, and external data transfers.

Determine whether these data sources are integrated directly or require separate systems and reconciliation.

5. Ease of Implementation for Lean Teams

Small MedTech companies may have a limited clinical affairs team and depend on external CROs or data management providers.

Compare study-build timelines, configuration flexibility, validation support, user training, and amendment processes. Identify which activities can be completed internally and which require vendor specialists.

6. Long-Term Follow-Up and Total Cost

Device studies may require years of safety and performance follow-up, especially where implants, long-term outcomes, registries, or PMCF programmes are involved.

Assess how the EDC supports recurring assessments, patient engagement, data retention, access to historical records, and exports.

Compare the costs of setup, integrations, amendments, additional modules, support, and long-term data access – not just the initial licence fee.

What Questions Should MedTech Companies Ask EDC Vendors?

A demonstration should use a realistic device-study protocol rather than a generic pharmaceutical study.

Evaluation Area
Questions to Ask
Device-specific data
Can the system capture device identifiers, procedural information, malfunctions, and performance endpoints?
Study configuration
Can our clinical affairs team configure and modify the study without extensive programming?
Protocol changes
How are device-design or protocol amendments tested, approved, and applied to an active study?
Safety and data quality
How does the platform manage device-related adverse events, discrepancies, and audit trails?
Imaging and external data
Can we link imaging, device measurements, and patient-reported outcomes to clinical records?
Regulatory readiness
What documentation supports applicable Part 11 controls, validation, and device-study inspection requirements?
Post-market follow-up
Can the platform support registries and recurring patient assessments over several years?
Commercial model
What are the costs of study setup, amendments, additional modules, support, and long-term data access?

Practical tip: Ask shortlisted vendors to demonstrate a device-related event, such as a malfunction, replacement, or follow-up assessment, including how the resulting data is reviewed and reported.

Choosing the Right EDC Platform for MedTech Clinical Studies

Selecting EDC software for medical device studies involves balancing device-specific data requirements, clinical evidence quality, regulatory expectations, and operational efficiency.

The six platforms reviewed offer different approaches to study configuration, imaging, patient data collection, and long-term follow-up. Small and mid-sized MedTech companies should prioritise a platform that supports their current investigation while accommodating future pivotal studies, registries, or post-market evidence requirements.

Why Clinion EDC Is the Best Choice for Small and Mid-Sized MedTech Companies

For medical device manufacturers, managing clinical evidence efficiently requires more than collecting eCRF data. Imaging, procedural assessments, patient outcomes, and ongoing data review must remain accessible and traceable throughout the study. Clinion EDC brings these workflows together through AI-assisted clinical data management, integrated medical imaging, and connected eClinical applications. Its codeless Global Library supports faster study configuration, while AI-assisted review and natural-language reporting help teams investigate clinical data with less manual effort.

Clinion has supported 650+ clinical trials involving 300,000+ patients across 20+ countries. It reports an average study go-live timeline of 2–4 weeks and 40–50% savings in total data management costs, offering potential advantages for MedTech companies managing limited resources and demanding development timelines.

Request a Clinion EDC Demo to see how its AI-powered capabilities, integrated imaging, and connected clinical workflows can support your next medical device study.

— FAQ's

Frequently Asked Questions About EDC Software for Small and Mid-Sized MedTech Companies

The best EDC platforms to consider for small and mid-sized MedTech companies include Clinion EDC, Castor EDC, Medrio EDC, Viedoc, Medidata Rave Lite, and TrialKit EDC. These platforms offer different strengths in device-study configuration, AI-assisted clinical data management, post-market follow-up, mobile data collection, and regulatory documentation.

Medical device companies should look for EDC software that supports device-specific data capture, protocol amendments, safety and performance monitoring, audit trails, integrations, and long-term follow-up. The platform should also fit the company's internal resources and regulatory requirements.

Yes, EDC software can support medical device feasibility and pivotal studies by capturing clinical assessments, device-related events, procedural data, and study outcomes. Sponsors should verify that the system can accommodate the protocol's specific endpoints, device accountability requirements, and validation needs.

Yes, ISO 14155:2026 is relevant because it establishes good clinical practice requirements for medical device clinical investigations. EDC platforms can support these investigations through traceable records, controlled data management, audit trails, and validation evidence, although ISO 14155 applies to the conduct of the investigation rather than certifying an EDC product.

Yes, EDC platforms can support post-market clinical follow-up through registries, patient-reported outcomes, recurring assessments, and long-term data collection. For EU MDR PMCF programmes, sponsors should also confirm how the platform supports data exports and evidence needed for clinical evaluation and follow-up reporting.

Yes, some EDC platforms can integrate medical imaging and device-generated data through native modules or external interfaces. Sponsors should confirm support for the relevant file formats, data mappings, privacy controls, and traceability between external measurements and clinical records.

Smaller MedTech companies should consider an integrated eClinical platform when they need connected workflows for EDC, ePRO, eConsent, imaging, or clinical operations. Standalone EDC may be suitable for simpler studies, provided required integrations and long-term data access can be maintained efficiently.

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