
THE CONTEXT
MVR represents work done on a client-facing veterinary medical record app (repurposed for this portfolio with permission).
The app was intended primarily for clients of large animal mobile veterinary practices, with a special focus on dairy producers. The mobile app was designed by myself from conception, to be integrated with previous framework designed for a desktop platform.
MY ROLE
UX and UI Design
THE PROBLEM
It is difficult for mobile practicing veterinarians to maintain medical records during long days on the road between farm visits; the College of Veterinarians of Ontario (CVO) legally requires detailed records be meticulously maintained after each visit and dispensing of medications. Much of this information is provided by producers (the client), and additionally, the client is required to keep detailed logs of health events and product administration to their livestock in between vet visits.
Potenial customers had indicated that advanced coordination of scheduling, invoicing, and inventory management would be beneficial to them, since missed services opportunities respresent both time and financial waste.
OUR GOALS
- Producers (User): Provide added value service through access to key information and animal health management tools
- Veterinary Practice (Customer): Emphasize proactive advisorship role and maximize operational efficiency
DESIGNING THE MENU AND DASHBOARD
REQUESTING A VISIT
- Offer in-app options for scheduling a visit for times a phone call may be less convenient
INVOICING
- Alerts of new invoices on the dashboard
- Encourage prompt payment of accounts by tracking unpaid invoices and providing prompts for easy online payment options
ANIMAL DATA MANAGEMENT TOOLS
- Add and track current animals in herd
- Track product usage on individual animals
- Alerts for end of withdrawal times after product usage
WHAT COMES NEXT?
- Onboarding process
- Integrate meaningful onboarding experiences between both app and desktop platforms
- More Animal Data Management Tools
- Track diagnosed conditions
- View patterns in disease outbreaks



