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Veterinary clinical trials: how they work

The veterinary pharmaceutical sector is advancing swiftly. Increasing pet ownership, growing animal welfare awareness, and the rising economic importance of livestock health are driving greater investment in veterinary clinical research by pharmaceutical companies and CROs.

Meanwhile, regulatory bodies such as the European Medicines Agency (EMA) and the FDA Center for Veterinary Medicine are intensifying requirements for data accuracy, traceability, and adherence to Good Clinical Practice. This progression is redefining the design and administration of veterinary clinical trials.

Addressing the operational challenges of veterinary research

While veterinary studies share several principles with human clinical research, they also introduce unique operational complexities: multiple species, owner-reported outcomes, decentralized data collection, and highly variable clinical environments.

Selecting the right digital infrastructure from the outset is essential. Flexible eCRF systems, remote monitoring, and real-time analytics are fundamental for efficiently managing animal health studies. Discover how the ACTide Animal Health ecosystem supports veterinary clinical research with modular digital solutions designed specifically for animal studies.

What are veterinary clinical trials?

Veterinary clinical trials are regulated research studies designed to evaluate the safety, efficacy, and quality of medical products intended for animals. These studies can involve veterinary drugs, vaccines, nutritional supplements, medical devices, biologics, and diagnostic tools. 

The overall goal is similar to that of human research: generating scientifically reliable evidence before regulatory approval and market commercialization. However, veterinary trials differ significantly because researchers must account for:

  • different animal species.
  • Breed variability.
  • Behavioral factors.
  • Environmental influences.
  • Owner compliance.
  • Farm or clinic operational diversity.

Veterinary clinical data management is more complex than human studies due to these factors. According to the International Cooperation on Harmonisation of Technical Requirements for Registration of Veterinary Medicinal Products (VICH), veterinary trials must follow internationally recognized ethical and scientific standards, including VICH GL9 Good Clinical Practice guidelines.

The phases of veterinary clinical research

Like human clinical development, veterinary clinical trials typically follow a phased structure designed to progressively evaluate safety and efficacy.

Pilot studies: assessing safety and feasibility

Pilot studies are the first step in evaluating a veterinary product under controlled clinical conditions. These early-stage studies usually involve a limited number of animals and aim to assess initial safety, evaluate dosing, identify potential adverse reactions, and collect preliminary efficacy data. This stage often reveals operational challenges affecting later studies, such as inconsistent data capture or species-specific workflow issues.

Digital flexibility is crucial at this stage because veterinary studies rarely fit rigid templates designed for human trials. For example, canine behavioral assessments, bovine productivity measurements, and feline symptom tracking require distinct data structures.

ACTide for Veterinary health enables research teams to rapidly customize eCRFs without complex development cycles.

Pivotal trials: generating evidence for regulatory submission

Pivotal studies are larger, statistically powered trials designed to confirm product effectiveness and support submissions to authorities, including the EMA, FDA, National competent authorities, and Heads of Medicines Agencies (HMA). Operational complexity escalates markedly in this phase. Veterinary CROs often manage:

  • multiple veterinary clinics.
  • Specialized hospitals.
  • Farm environments.
  • Decentralized investigators.
  • International study sites.

Unlike highly standardized hospital systems in human research, veterinary sites vary widely in digital maturity and operational procedures. A user-friendly eCRF is vital for ensuring consistent data quality across all locations. The ACTide Animal Health ecosystem helps research teams centralize clinical data collection while adapting workflows to different species and site capabilities.

Post-marketing surveillance and long-term monitoring

Regulatory approval does not end the research process. Post-marketing surveillance studies monitor long-term safety, treatment effectiveness, and rare adverse events after commercialization. This phase is especially important in veterinary medicine because products may be used across diverse real-world conditions that cannot be fully replicated during controlled trials. Examples include:

  • different feeding habits.
  • Geographic variability.
  • Farm management practices.
  • Environmental exposure.
  • Long-term owner compliance.

Continuous digital monitoring enables Sponsors to collect high-quality longitudinal data while reducing administrative burdens on clinics and owners.

Overcoming data collection challenges in veterinary studies

Data acquisition poses significant challenges in veterinary clinical trials. Unlike in human studies, researchers often rely on third parties, such as owners, farmers, or caregivers, to report behavioral observations and treatment outcomes. 

This variability heightens the risk of incomplete or inconsistent data.

The growing role of owner-reported outcomes

Modern veterinary trials increasingly depend on remote patient monitoring. Owners may need to record appetite changes, mobility, sleep behavior, medication adherence, side effects, and quality of life indicators.

Conventional paper diaries are inefficient and susceptible to gaps in reporting. Digital ePRO solutions offer substantial advantages in this context.

Using ACTide ePRO, owners can securely submit data remotely through intuitive digital interfaces, improving compliance and reducing transcription errors. At the same time, Sponsors gain faster access to real-time study insights.

Managing site diversity across veterinary clinics

Veterinary research settings differ substantially. A study may involve:

  • small independent clinics.
  • University veterinary hospitals.
  • Mobile veterinary units.
  • Large livestock facilities.

Each site may use different operational processes and levels of digitalization. Rigid EDC systems designed for human trials often fail to adapt to this diversity. Veterinary CROs need platforms that combine:

  • fast configurability.
  • Simple interfaces.
  • Multi-species adaptability.
  • Centralized oversight.
  • Scalable workflows.

This flexibility helps reduce onboarding time and improves adoption among veterinary professionals.

Ensuring compliance with VICH GL9 Good Clinical Practice

Compliance remains a fundamental requirement in veterinary clinical research.

According to VICH GL9 guidelines, studies must ensure data integrity, animal welfare, traceability, auditability, and reliable reporting procedures. Digital platforms play a major role in achieving compliance.

Modern veterinary research systems should include secure cloud hosting, role-based permissions, audit trails, electronic signatures, data validation checks, and monitoring tools.

For CROs managing multi-country studies, these capabilities become essential for inspection readiness and regulatory confidence.

Why traditional human EDC systems often fail in veterinary research

Many veterinary organizations initially attempt to adapt human-focused EDC platforms for animal studies. This typically leads to operational bottlenecks.

Human clinical systems are optimized around standardized patient workflows, whereas veterinary trials require greater configurability.

For example, veterinary studies may need:

  • species-specific forms.
  • Breed-dependent variables.
  • Herd-level tracking.
  • Environmental data integration.
  • Owner-reported questionnaires.
  • Flexible visit structures.

A one-size-fits-all approach rarely works. The most effective veterinary clinical trial platforms are designed with agility in mind from the beginning.

This is one of the reasons why specialized ecosystems such as ACTide Animal Health focus on modularity and adaptable workflows rather than rigid configurations.

Monitoring veterinary studies with real-time insights

Modern CROs increasingly require real-time operational visibility across their studies.

This is especially important in veterinary research, where enrollment variability and decentralized data collection can quickly affect timelines.

Streamlining field monitoring activities

Monitoring veterinary sites often involves geographically distributed locations and non-standard workflows. Digital monitoring tools help CRA teams:

  • verify source data more efficiently.
  • Track missing information.
  • Identify protocol deviations early.
  • Improve communication with sites.

Implementing advanced data management tools reduces manual review and expedites oversight of studies.

Using AI-powered analytics in veterinary clinical trials

Artificial intelligence is also becoming increasingly relevant in animal health research.

AI-based analytics can enable enrollment forecasting, data trend identification, risk detection, protocol compliance tracking, and operational enhancement. With tools like ACTide Insight AI, Sponsors and CROs can monitor study performance and animal health outcomes in real time, improving decision-making throughout the trial lifecycle. As veterinary research becomes more data-intensive, AI-enabled oversight will likely become a competitive differentiator for CROs operating in this space.

A digital future for animal health research

Veterinary clinical trials are becoming more sophisticated, decentralized, and data-driven. At the same time, Sponsors and CROs face increasing pressure to accelerate timelines while maintaining regulatory compliance and data quality.

To succeed in this evolving landscape, veterinary research organizations need digital ecosystems tailored to the realities of animal health studies. Flexible eCRF systems, remote ePRO tools, AI-powered analytics, and modular workflows are no longer optional features; they are becoming strategic necessities.

Organizations that invest early in adaptable digital infrastructures will be better positioned to improve operational efficiency, reduce risk, and accelerate innovation in veterinary medicine.

If your organization is looking to modernize veterinary clinical trial management, explore the ACTide Animal Health ecosystem and request a free demo to discover how modular digital tools can support your next animal health study.

Have a Question? Start Here

Yes. Veterinary clinical trials must comply with strict ethical and scientific standards designed to protect animal welfare and ensure reliable data generation.
International frameworks such as VICH GL9 Good Clinical Practice define how studies should be conducted, monitored, and documented. Ethical review boards and regulatory authorities may also oversee study protocols depending on the country and product type.

The duration depends on the type of product, species involved, study endpoints, and regulatory requirements.
Some pilot studies may last only a few weeks, while pivotal or post-marketing studies can continue for months or years, especially when long-term safety monitoring is required.
Livestock studies may also be influenced by seasonal production cycles and farm management practices.

Several technologies are reshaping veterinary trials, including: cloud-based EDC platforms; Mobile ePRO applications; AI-powered analytics; Wearable animal monitoring devices; Remote monitoring systems; Real-time dashboards.
These tools improve data accuracy, accelerate decision-making, and reduce operational burden for veterinary sites and owners.

Yes. Remote and decentralized approaches are increasingly used in veterinary research, especially for companion animal studies.
Owners can now submit data remotely through mobile apps, reducing the need for frequent clinic visits while improving patient retention and data continuity.
This trend is expected to grow as digital adoption increases across animal health organizations.

Common operational challenges include: inconsistent owner compliance; Missing behavioral data; Site variability; Limited digital infrastructure; Multi-species complexity; Regulatory documentation issues.
Choosing flexible and specialized digital platforms can significantly reduce these risks while improving study scalability.

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