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Business area digitalisation analysis

Veterinary clinics: digitalisation analysis

How to connect animal history, registration, diagnostics, treatment plan, medicines and owner communication

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

moderate
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

80/100
Biggest challenge
Animal health history is fragmented
Biggest opportunity
Seamless animal health record and owner journey

The greatest value lies in a single animal health history and a clear next action for both owner and clinic.

How veterinary clinics operate

The business area covers small animal primary care, emergency, specialist and multi-site veterinary clinics where the clinical process involves the animal owner.

The animal and payer are separate entities

The clinic must link the animal's clinical history with one or more owners, representation rights and contact details.

Urgency is often assessed by the owner by phone

Vaguely described symptoms and emotional situations complicate the selection of appropriate time and service.

Prevention depends on consistent rules

Vaccination, antiparasitic, dental and other plans must consider species, age, weight, previous actions and individual risk.

Medicines and supplies are part of the clinical process

Prescription, dispensing, dose, weight, balance, expiry and owner instruction must remain linked.

Market and technology context

Veterinary clinic digitalisation is shaped by owner self-service, structured initial triage, laboratory and imaging integrations, preventive care automation and carefully applied AI assistance.

  • Owners expect the same level of convenience as in other servicesRegistration, instructions, results, documents, vaccinations and payments must be accessible in one environment.
  • Veterinary time is increasingly used for administrationA high volume of calls, result explanations, reminders and repeat information collection reduces clinical capacity.
  • Preventive care automation creates both health and business valueA timely, specific reminder helps maintain continuity of animal care and the clinic's recurring revenue.
  • Remote data expands monitoring capabilitiesPhotos, videos or sensor data can help after a procedure, but must have clear usage and response boundaries.

Typical veterinary clinic chain

01

Owner enquiry and urgency assessment

Structured symptoms, animal identity, previous history are collected and an appropriate response is determined.

02

Registration and preparation

A veterinarian, appointment duration and required diagnostics are selected, and instructions are provided to the owner.

03

Clinical assessment and diagnostics

The veterinarian performs an examination, orders laboratory or imaging tests and records the decision context.

04

Treatment, procedure or medication dispensing

A plan is created, a procedure is performed, dosage is calculated, medicines are dispensed and instructions are provided.

05

Results monitoring and owner notification

The test result creates a task for the veterinarian, treatment adjustment and a clear message to the owner.

06

Monitoring and preventative continuity

Managed check-up visits, vaccinations, preventative care plan and long-term animal health history.

Digital maturity model

0

Paper-based animal record and telephone registration

Visits, vaccines, tests, medicines and owner communication depend on paper, phone calls and separate messages.

1

Core veterinary clinic system

Animal record, visits, invoices and some preventive care are managed in the system, but laboratory, imaging and owner channels are separate.

2

Individual owner and clinic stages digitalised

Online registration, reminders, laboratory or portal operate, but there is no unified animal history, results and next-action chain.

3

Key animal and owner processes are connected Typical current situation

In selected processes, registration, animal clinical history, diagnostics, medicines, results, owner instructions and preventive care are connected, but integration and data quality still vary between clinics.

4

Data-driven capacity and prevention Siektina

The clinic manages appointment workload, urgency, result closure, medicine stock and preventive care returns based on actual KPIs.

5

Safely proactive veterinary care

AI and remote data assist with image review, symptom structuring or condition monitoring, but the veterinary surgeon makes the decision.

Key finding

Veterinary clinics lose value when animal history, owner-provided information, diagnostics, medications and follow-up actions exist in separate channels.

Owner self-service must be linked to the specific animal record and veterinarian tasks, not become another messaging channel.

The first version should cover one frequent pathway, for example, registration, test result, treatment instruction and follow-up visit.

Related topics

Pet owner self-service portalVeterinary clinic process managementVeterinary laboratory and imaging integrations
Next step

Connecting the animal's history with owner and clinic actions

A review of one common animal journey will be conducted to help define the first version that reduces phone calls, protects veterinary time and closes treatment and prevention actions.

Discussing veterinary clinic digitalisation