The problem
The Problem
Mortality data is valuable only when it can be understood and acted on.
A mortality event can reveal an isolated clinical problem. Across animals, herds and time, the same information may also contribute to a wider picture of disease, management pressure and emerging risk.
Why information is lost
Useful evidence may sit across handwritten notes, photographs, post-mortem forms, laboratory systems, veterinary records and individual professional knowledge.
When the information remains fragmented, it becomes harder to compare cases, understand recurring causes of death, recognise changing patterns or use mortality data consistently in herd-health conversations.
Create a better chain from evidence to action.
PathPal is being developed to make that chain more complete, more consistent and more useful — while keeping the veterinarian responsible for interpretation and clinical decisions.
Where better mortality intelligence could matter.
Respiratory disease
Recurring mortality associated with respiratory pathology may indicate a pattern worth veterinary investigation across a cohort or herd.
Calf health
Consistent cause-of-death information could help distinguish isolated events from emerging patterns in youngstock mortality.
Lameness and chronic disease
Mortality intelligence may help reveal longer-term associations between health problems, management factors and poor outcomes.
These examples describe intended use cases for research and development. PathPal does not autonomously diagnose disease or prescribe interventions.