A veterinary management software is no longer limited to storing patient records. Current software bricks incorporate layers of interoperability, regulatory compliance, and artificial intelligence assistance that profoundly change the clinical workflow. Here, we detail the technical points that differentiate a mediocre tool from a truly structuring solution for a practice.
HDS Reference and Hosting of Veterinary Data in 2026
The issue of hosting has become a fully-fledged selection criterion. The HDS reference v2.0, published in May 2024, imposes enhanced transparency requirements on health data hosts regarding remote access and extraterritorial legislation. The critical deadline for already certified hosts was set for May 16, 2026.
For veterinary practices, this means that any management software storing animal medical data related to client information (contact details, payment histories) must rely on a compliant host. The SREN law of May 21, 2024, extended the obligation of HDS certification to electronic archiving services, with enforcement starting on July 31, 2025, for new entrants.
We recommend checking three points before any contractual commitment: the physical location of the servers, the exact scope of the provider’s HDS certification, and the clauses related to extraterritorial access. Software hosted on a non-European cloud without HDS certification exposes the practice to real legal risk.
Veterinary Software and AI Act: Training Obligation for Teams
The integration of artificial intelligence tools in veterinary management software (diagnostic assistance, automatic transcription of consultations, therapeutic suggestions) is no longer anecdotal. Since February 2, 2025, Article 4 of the AI Act imposes a training obligation for teams using AI systems. An update related to Regulation (EU) 2026/1744, effective from July 27, 2026, reinforces this mastery logic.
Specifically, each member of the practice interacting with an AI module must understand its limitations, valid use cases, and situations where human verification remains necessary. This is not just a good practice recommendation: it is a binding European regulatory framework.
Veterinary software publishers integrating AI functions should provide technical documentation and an appropriate training pathway. This is a selection criterion that we rarely observe in comparisons, yet it conditions the practice’s compliance. Several practitioners who have adopted solutions incorporating this dimension report a daily gain in confidence; you can discover the GMVET1 experience on this specific point.
Interoperability Between Management Software and Clinical Tools
Interoperability remains the weak link in most European veterinary solutions. Unlike the human medical sector where standards like HL7 FHIR are becoming widespread, the veterinary world lacks a unified data exchange framework. Each publisher develops its own connectors, creating silos.
A high-performing management software must, however, communicate with several components:
- Laboratory automata (hematology, biochemistry) to import results directly into the patient file without manual re-entry
- Teleconsultation platforms, which require structured access to medical histories and ongoing treatments
- Online pharmacy services and prescription management, where integration prevents dosage errors and duplicate orders
- Client communication tools (vaccination reminders, SMS, proprietary portals) that must synchronize with the agenda and client file
Before choosing a solution, we recommend requesting the exact list of available APIs and native integrations. Software that only offers CSV export is not interoperable: it is simply extractable.
Automatic Documentation of Consultations
Automatic transcription of consultations by AI represents a major time-saving. Several recent solutions offer to convert the oral exchange between the practitioner and the owner into structured notes integrated into the medical file. Administrative time at the end of the day decreases significantly when documentation is done in real-time.
The point of caution concerns the reliability of the transcription for veterinary medical vocabulary. Generalist models make errors with molecule names, dosages, and breeds. A tool suited to the veterinary sector must have been trained on a specialized corpus.
Technical Criteria for Choosing Veterinary Management Software
Typical comparisons focus on interface and price. We propose a complementary grid centered on technical robustness:
- HDS certification of the host and data location within European territory, verifiable in the general conditions
- Availability of documented APIs (REST or GraphQL) allowing third-party integrations without dependence on the publisher
- Effective GDPR compliance, with logging of access to client data and a mechanism for data portability
- Support for the AI Act, including documentation of embedded AI modules and training resources for the team
- Native multi-site architecture for clinics with multiple establishments, with real-time synchronization
Software that ticks these boxes offers a solid foundation. Everything else (usability, customization of consultation templates, management of product stocks) falls under user preference and can be tested during a trial period.
Data Migration from an Old Software
Changing software solutions often stumbles on migration. A clean export of historical data conditions the continuity of medical follow-up. Ensure that the publisher offers technical support for migration, with mapping of fields between the old and new systems. A botched migration leads to losses of vaccination histories or analysis results, which directly degrades the quality of care.
The choice of veterinary management software commits the practice for several years. The regulatory constraints of 2026, between reinforced HDS reference and obligations related to the AI Act, add a layer of requirements that the oldest solutions do not always cover. It is better to spend time on technical auditing upfront than on remediation after deployment.
