The 31st PAHA Annual Conference, held in Pasay City on August 20–22, 2026, provided a useful window into the diagnostic technologies and workflow questions being discussed within veterinary practice in the Philippines. Viewed in a wider Southeast Asian context, these discussions also raise a broader question: how should clinics and distributors evaluate in-house diagnostic equipment beyond individual test capabilities?

Across Southeast Asia, evaluating veterinary diagnostic equipment requires more than comparing individual test menus. Buyers and distributors also need to consider how blood, urine, fecal, immunoassay, and other testing capabilities fit with sample handling, quality control, result review, consumable supply, connectivity, and technical support.

This trend develops differently across countries and practice settings. Clinic type, location, caseload, staffing, access to consumables, laboratory infrastructure, and service networks all influence how diagnostic workflows are implemented and maintained.

Southeast Asia’s Diagnostic Capacity Is Developing Unevenly

Veterinary diagnostic capability across Southeast Asia is shaped by more than the availability of analyzers. Infrastructure, reagent supply, staff training, quality assurance, biosafety, data handling, and laboratory collaboration all influence whether diagnostic technologies can be used consistently in daily practice.

A 2026 Frontiers in Veterinary Science FAO Laboratory Mapping Tool analysis reviewed assessment data collected between 2012 and 2020 from 32 local, subnational, and national veterinary laboratories across 10 ASEAN countries. The study reported a mean overall LMT-Core score of 60%, with individual laboratory scores ranging from 23% to 82%. The wide range illustrates substantial variation within the veterinary laboratories assessed and reinforces why diagnostic infrastructure across Southeast Asia should not be treated as uniform.

The assessment examined laboratory profile, infrastructure, equipment and supplies, laboratory performance, quality assurance, biosafety and biosecurity, and laboratory collaboration. Among the assessed quality-assurance and biosafety-related categories, personnel training recorded the lowest mean score. Sample accession and some elements of laboratory collaboration also remained areas for further development. Because the underlying assessments were conducted between 2012 and 2020, conditions may have evolved in individual locations since then. Even so, the findings offer useful context for the operational conditions that continue to shape diagnostic deployment across the region.

From Laboratory Capacity to Practical Diagnostic Workflows

Although the FAO assessment focused primarily on national and subnational veterinary laboratory capacity rather than companion-animal clinic purchasing, its findings highlight an important implementation principle: diagnostic equipment works within a broader operating system of trained personnel, reagent supply, quality assurance, biosafety, and laboratory coordination. Frontiers.

The same implementation lens is useful when clinics and distributors evaluate in-house veterinary diagnostic workflows.

Veterinary Diagnostic Equipment in Connected In-House Workflows

Routine in-house testing has traditionally been viewed as a set of separate tasks: a complete blood count on one instrument, urine testing through another process, fecal examination when indicated, and rapid or immunoassay testing performed independently. In daily practice, however, these tasks are connected through the same case record, the same clinical question, and the need for timely, traceable laboratory information.

Blood, urine, fecal, and immunoassay testing each follow distinct sample pathways. Collection methods, sample handling, preparation requirements, test timing, and result-review procedures may differ. The trend toward more connected workflows does not remove these distinctions. It reflects a growing need to organize routine testing in a way that reduces operational handoffs and helps teams bring related laboratory information into a clearer clinical process.

For clinics that coordinate routine CBC, urine, and fecal examination on-site, an analyzer supporting an integrated veterinary blood, urine, and fecal testing workflow can be evaluated as a compact component within a broader review and referral pathway. The key question is not whether one analyzer can replace every laboratory method, but whether its configuration fits the clinic’s routine sample mix and supports a defined review process when further investigation is needed.

Workflow stage	Operational focus	Practical consideration
Sammlung von Proben	Animal/case identification, sample type, collection, and handling	Pre-analytical consistency supports reliable downstream testing
Routine analysis	biochemistry，CBC, selected immunoassays and biochemistry, urine, and fecal testing	Each method should align with its sample pathway and intended use
Result review	Instrument flags, images, QC status, and repeat criteria	Defined review rules help determine when further examination is useful
Follow-up	Microscopy, referral testing, external laboratories, and records	Results can provide a clearer basis for laboratory and clinical assessment

Automated CBC systems can generate quantitative parameters, leukocyte differentials, calculated indices, instrument flags, and graphical outputs. When reviewed with patient history, sample quality, previous results, and other relevant laboratory findings, these outputs can provide useful context for assessing hematologic patterns and deciding whether further examination is appropriate.

Compact Multi-Functional Analyzers Can Support Broader In-House Testing

For clinics with limited bench space, compact multi-sample configurations are becoming more relevant when routine blood, urine, and fecal testing need to be organized within one daily workflow. Rather than approaching each test as a separate operational task, clinics can assess whether related laboratory information can be generated through a more continuous route from sample processing to report generation.

The trend is not simply toward placing more test categories in one device. It is toward selecting configurations that fit the available space, staffing, routine sample mix, and clinical workflow of a particular practice. When blood, urine, and fecal findings can be brought into a more unified reporting and review workflow, they can provide complementary information for case assessment while retaining their distinct sample-handling requirements.

A compact configuration can be useful where it supports practical daily testing, structured result review, and timely access to laboratory information for evaluating a patient’s condition. This approach remains relevant across diverse clinic settings because right-sized diagnostics do not require every practice to operate at the same level of automation or test breadth.

AI-Assisted Morphology Is Adding a Visible Information Layer

A Visible, Reviewable Layer for CBC Workflows

Building on mature automated CBC workflows, AI-assisted imaging and morphology analysis are adding a visible, reviewable layer of cellular information. This information is gradually being incorporated into laboratory workflows across different workload levels and practice settings, where it can sit alongside quantitative hematology results, instrument flags, and established review procedures.

Complete Blood Morphology in Routine Review

Ozelle uses the term Complete Blood Morphology (CBM) for its image-based hematology approach, which combines automated blood-cell analysis with AI-assisted classification and visible cell morphology information. In veterinary workflows, this can add image-backed morphology-related information alongside quantitative CBC results. Depending on the analyzer and method, this may include image-supported findings, visualized cellular features, or algorithm-assisted classification of specific cell populations. For clinics and laboratories assessing a patient’s condition, CBM can provide supporting visual and data-based evidence that adds context to routine hematology results.

In routine work, morphology-related information is most useful when reviewed with numerical findings, instrument flags, patient history, and other relevant laboratory evidence. It can help structure laboratory review and provide additional context for clinical assessment, particularly when a finding requires closer examination.

Extending Review Beyond the Blood Count

As AI-assisted morphology becomes more visible in routine veterinary diagnostics, its relevance extends beyond the blood count itself. The same laboratory workflow may involve urine, fecal, and selected immunoassay testing, with each test area contributing different information for case assessment. This is increasing interest in configurations that bring routine testing categories closer together while maintaining structured result review.

An example is a veterinary hematology, immunoassay, urine, and fecal testing configuration that combines these modules within one analyzer. EHVT-50 integrates 9-diff hematology, immunoassay, biochemistry, urine, and fecal testing within one platform.Its listed workflow features include CBM information, dry QC cards, automatic calibration, and LIS, USB, and LAN connectivity.

For organizations assessing these diagnostic configurations, the relevant question is how morphology information and results from multiple testing categories will fit into existing staff roles, quality-control processes, and review criteria. The most useful configuration is one that makes the routine workflow more coherent and helps laboratory information remain connected to professional review.

Trend Four: Diagnostic Value Depends on Training, Quality Systems, and Coordination

Technology adoption becomes more meaningful when analyzers are introduced with clear operational processes. Staff training, sample handling procedures, quality-control routines, calibration, consumable planning, report documentation, and follow-up rules influence whether a diagnostic workflow can be sustained over time.

A 2026 Greater Mekong review of veterinary diagnostics and surveillance examined four decades of diagnostics, surveillance, field epidemiology, and policy development in Thailand, Lao PDR, and Cambodia. It found that progress in controlling transboundary animal diseases was strongest when diagnostic capability was linked with field surveillance, socioeconomic information, and regional policy coordination.

The review highlights a wider operational principle for Southeast Asia: diagnostic information gains practical value when it is linked to organized review, documentation, communication, and follow-up processes. Although this review focuses on transboundary livestock disease control rather than companion-animal clinic diagnostics, it reinforces a broader regional lesson: diagnostic capability creates greater value when it is supported by organized data use, communication, surveillance, and follow-up systems.At the clinic level, the analogous implementation questions include staff training, QC, result documentation, referral pathways, and local technical support.

Implementation priority	Why it matters in routine use
Operator training	Supports consistent sampling, analyzer operation, and report handling
Quality-control procedures	Helps maintain confidence in routine testing processes
Consumable planning	Reduces avoidable interruptions to scheduled testing
Review and escalation rules	Clarifies when repeat testing, microscopy, or referral is appropriate
Local support pathway	Connects installation, training, connectivity, and service response
Regulatory and market readiness	Confirms local registration, assay availability, labeling, and distribution requirements

For distributors and clinics evaluating veterinary diagnostic analyzers, the discussion extends beyond the stated test menu to training readiness, consumable availability, documentation, connectivity, and local support.

The long-term value of a diagnostic configuration depends not only on its testing capability, but also on whether it can be operated, quality-controlled, reviewed, and supported consistently.

What This Means for Veterinary Diagnostics in Southeast Asia

Southeast Asia should not be approached as one uniform clinical or equipment market. A compact independent clinic, a multi-site animal hospital, a referral practice, and a public veterinary laboratory each work with different sample volumes, staffing structures, test requirements, and service responsibilities. Country-level conditions also influence access to consumables, technical service, training opportunities, and laboratory collaboration.

The appropriate veterinary diagnostic equipment configuration is not necessarily the one with the broadest test menu. It is the one that fits the practice’s full operating environment: routine sample types, species and case mix, available space, personnel capability, quality-management process, data needs, and access to local technical support.

For clinics, the practical starting point is to map the current diagnostic pathway before comparing instruments. Which tests are performed routinely? Which findings call for closer review? Which samples are referred? Who manages QC? How are results recorded and discussed? These questions clarify whether an integrated analyzer, separate instruments, or a hybrid in-house and referral-laboratory model is most appropriate.

For distributors, the same principle supports a more credible regional approach. A sustainable diagnostic solution includes equipment, but it also relies on operator training, application support, consumable planning, practical service procedures, and realistic alignment with the clinic’s routine capacity.

From Stand-Alone Instruments to Sustainable Workflows

PAHA 2026 provided a timely Philippine market touchpoint for discussing how veterinary diagnostic technologies fit into everyday clinical workflows. Across the wider Southeast Asian context, available laboratory-capacity evidence also shows why implementation conditions—including training, quality systems, consumable supply, and support networks—cannot be assumed to be uniform.

The more durable goal is not simply greater automation. It is to build diagnostic workflows that connect routine testing with quality management, trained personnel, defined review criteria, referral options, and workable local support systems. It is toward diagnostic workflows that connect routine testing with quality management, trained personnel, defined review criteria, referral options, and workable local support systems. For clinics and their partners, these elements provide a stronger basis for building in-house diagnostic capability as clinical needs evolve.