Case library

28 scenarios, one record per pet.

Illustrative scenarios, not customer results. Each one shows how a record that follows the pet could change one moment of care, names the product behind it and says where that product stands. Filter by who you are, by category or by status.

Showing 28 of the 50 cases in our Case Library, rewritten for the web; the numbers follow the library, so they are not consecutive. The other 22 are listed further down.

Illustration: the folded-paper dog and cat hold a folded record of visits, vaccines and care

Read by audience

For clinicians

How the AI scribe, structured records, imaging AI and clinic tools are designed to change the consult.

For partners

Workflows insurers, pharma, brands and breeders could plug into, using only what owners agree to share.

For pet owners

How one record that follows your pet changes everyday care.

The big picture

How one consented record per pet adds up over time, across clinics, insurance, research and public health.

Audience
Category
Status

Cases

Clinic softwareScenarioCase 01
Full history · in one record, from the first visit

Shanghai solo vet — from paper records to a living history

In this scenario, paper and legacy files are scanned into structured SOAP notes, and the AI scribe drafts each new consult note for the vet to review. The aim: fewer repeat tests, and owners who can see the whole history.

ClinicianBig picture
Benchmark · AI scribe vendors abroad say their products cut documentation time. Not a Petnest AI result.
Clinic softwareScenarioCase 02
Clinical Workspace In development
One playbook · new vets can draw on the clinic's own plans

Xuhui mid-size clinic — new vets up to speed, one shared playbook

In this scenario, junior vets come and go, and common conditions such as otitis, dental disease and feline lower urinary tract disease are handled differently by each vet. Clinical Workspace is designed to show the clinic's senior-vet plans for similar cases while the vet writes the plan, for reference only: the vet decides. The medical director sees an overview of where practice differs, for in-house training.

ClinicianBig picture
Insight · The reference plans come from the clinic's own records and never replace the vet's clinical judgement.
Clinic softwareScenarioCase 03
One standard · every branch's records, on the same terms

Shanghai clinic chain — several legacy systems, one clinical standard

A chain built through several acquisitions has branches in Pudong, Minhang, Jing'an and other districts, each on its own record system: the same condition is treated differently from branch to branch, and the chain cannot measure its own clinical indicators. In this scenario, PMS Integrations are designed to bring every branch's past records into one diagnostic coding and record structure, and the Clinical Workspace to give the medical director like-for-like clinical indicators across branches (antibiotic prescribing, for example) and build shared protocols on top.

ClinicianBig picture
Insight · When records sit in several formats, no indicator adds up.
Clinic softwareScenarioCase 36
Catchment Insights Coming next
Know the neighbourhood · plan services around real local needs

Catchment Insights — knowing the pets around the clinic

A mid-size clinic in Jing'an wants to know: which breeds dominate the neighbourhood? How many young and senior pets live nearby? Which common conditions turn up most? In this scenario, Catchment Insights is designed to deliver a regularly refreshed dashboard built on consented, de-identified, aggregated data (breed mix, age profile and common conditions around the clinic) to help plan services, staffing and stock.

Clinician
Insight · Designed to show aggregates only, for the clinic's planning: never an individual owner, and never a way to contact one.
Clinic softwareScenarioCase 37
Stock to demand · from the clinic's own prescriptions and the seasons

Inventory Forecasting — fewer stockouts, less expired stock

An urban clinic in Yangpu stocks up on instinct: vaccines sometimes expire, rush orders are common, and the swings of puppy and kitten season, parasite season and allergy season are left out. In this scenario, Inventory Forecasting is designed to run a rolling forecast for vaccines, antiparasitics, prescription diets and common surgical supplies, from the clinic's own prescriptions, the seasons and Catchment Insights, and to prompt a reorder when stock runs low. The clinic decides what to order.

Clinician
Insight · Demand for antiparasitics and young-pet care swings with the seasons, and is worth planning stock around.
Clinic softwareScenarioCase 38
Smart Scheduling Coming next
Fewer overruns · the goal: slots sized to each case

Smart Scheduling — the right slot for the right case

Smart Scheduling is designed to predict a realistic slot length, flag no-show risk before booking, and route complex cases to senior vets.

Clinician
Analogue · In human healthcare, large hospitals already use no-show prediction to plan bookings.
Clinic softwareScenarioCase 39
Workload Balance Coming next
Shared load · the goal: complex cases no longer all on one desk

Workload Balance — a fairer caseload for vets, designed to ease burnout

In a Putuo clinic with several vets, most complex cases land on the head vet: junior vets get little chance to grow, senior vets are worn out, and people keep leaving. In this scenario, Workload Balance is designed to give the practice manager a weekly heatmap: each vet's case complexity, cases suited to senior-junior mentoring pairs, and early signs of overload. Designed so this data serves scheduling and mentoring only, never to rate individuals.

Clinician
Insight · Vet burnout is a widely recognised concern; measurable workload tools are part of the answer.
Clinic softwareScenarioCase 40
Between visits · clinic and owner stay in touch

Clinic and owner, connected — no gap between visits

Nori, a corgi in Changning, has been limping this week, and his owner has asked the AI Owner Assistant about it several times. In this scenario, the assistant is designed to answer everyday questions in plain language, every answer labelled AI-generated; it does not diagnose, and anything clinical is referred to the vet. With the owner's separate consent, revocable at any time, those questions are designed to reach the treating vet's Clinical Workspace, so the vet knows the owner's worries before Nori walks in.

ClinicianPet owner
Insight · Between visits, an owner's questions often have nowhere to go.
AI Scribe & EHRScenarioCase 08
AI Clinical Scribe In development
30+ min
per vet, per day: what the scribe is designed to save
Design target, not a measured result

First-visit kitten — full SOAP from a spoken exam

The AI scribe is built to transcribe the consult, structure the SOAP note, fill in the vaccine and deworming schedule and draft a bilingual visit summary, ready for the vet to review before leaving the room.

Clinician
Benchmark · AI scribe vendors abroad say their products cut documentation time. Not a Petnest AI result.
AI Scribe & EHRScenarioCase 09
3 years
of kidney values on one trend line

Senior CKD follow-up — longitudinal continuity across three years

The Chronic Care Tracker is designed to chart creatinine, SDMA, phosphate and weight on one trend line, so the vet sees the trajectory before the cat enters the room and can adjust treatment on the data.

ClinicianBig picture
Reference · Trupanion (US pet insurer) prices on years of accumulated pet health data.
AI Scribe & EHRScenarioCase 10
AI Clinical Scribe In development Surgery Prep AI Coming next
One thread · pre-op to follow-up, in one record

Surgical case documentation — pre-op, intra-op, post-op as one flow

A clinic in Minhang spays Cola, a Dragon Li cat. One routine operation produces a trail of separate documents: pre-op consult, consent form, anaesthesia record, surgical note, post-op note, discharge summary and follow-up call. In this scenario, Surgery Prep AI is designed to draft the pre-op risk profile, and the AI scribe to bring the whole operation into one structured record and draft the discharge summary from the surgical note. The vet reviews and signs every draft.

Clinician
Insight · When the paperwork is scattered, post-op questions are hard to trace back to the operation.
AI RadiologyScenarioCase 12
AI Radiology Coming next
Second look · for a junior vet on a busy shift

French Bulldog after a fall — fracture detection on a busy Saturday

A junior vet is unsure about a subtle tibial fracture. AI Radiology is designed to highlight the suspected fracture line with a confidence score, overlay a comparison atlas and suggest two angled retakes. The vet makes the call.

Clinician
Reference · Veterinary imaging-AI reading aids already exist abroad; the vet always makes the call.
AI RadiologyScenarioCase 15
AI Radiology Coming next
Pre-rupture · the goal: find a splenic mass before it ruptures

Senior wellness imaging — early tumour screening on a 10-year-old retriever

On a dog that looks clinically normal, AI Radiology is designed to flag a subtle splenic mass on the lateral abdominal X-ray and suggest an ultrasound, so the vet can act before it ruptures.

Clinician
Reference · Golden retrievers are a breed with a high cancer burden.
Owner appScenarioCase 16
From day one
guided plan for a new kitten

First-time owner — a new kitten's first months

The AI Owner Assistant is designed to build a plan for those first months: vaccine schedule with reminders, how to introduce food, red-flag symptoms to watch for, and when to see the vet.

Big picturePet owner
Insight · A kitten's first months bring a series of core vaccinations: the right moment to set care habits.
Owner appScenarioCase 17
Pet Health Passport In development Anomaly Detection Coming next
A step earlier · the trend is flagged; the vet decides

Senior golden retriever — kidney changes noticed earlier

Lucky, a senior golden retriever in Pudong, has been a little flat lately and is drinking more; his owner puts it down to age. In this scenario, with the owner's consent, the Pet Health Passport brings together years of bloodwork and weight records from several clinics, and Anomaly Detection is designed to spot creatinine creeping up alongside increased drinking, prompt the owner to book a recheck and alert the vet. Whether it is kidney disease, and how to treat it, is the vet's call.

Pet ownerClinician
Insight · Early signs of kidney disease are subtle and easy to put down to age.
Owner appScenarioCase 18
Pet Health Passport In development Owner Translation Layer Coming next
No restart · the history moves with the pet

A family moves — Shanghai to Beijing with the full history

With the owner's consent, the Pet Health Passport is designed to share the full record with the new clinic in Beijing. The Owner Translation Layer is designed to turn clinical terms into plain words, in English or French too for expat families.

Big pictureClinicianPet owner
Insight · Today, a move usually means a new clinic and a blank file.
Owner appScenarioCase 42
Mapped ahead
deworming, tests and dental checks, each one bookable

Predictive Care Timeline — the care ahead, already mapped

The timeline is designed to lay out the care ahead (deworming, a heartworm test, a dental check), each bookable at the home clinic in one tap.

Big pictureClinicianPet owner
Precedent · Banfield Wellness Plans organise preventive care in a similar way.
Trust layerScenarioCase 21
Clarity · on price, before the owner agrees

Price clarity at the counter — a quote the owner understands

When an owner is unsure about a quote for a procedure, the Treatment Cost Index is designed to show the typical cost range for that procedure in their city, so the vet can explain the price with data and the owner can decide with confidence.

Big pictureClinicianPet owner
Insight · City price benchmarks are designed to help vets explain a quote, and owners to agree with confidence.
Trust layerScenarioCase 22
Trust layer Coming next
Explained · why a complex plan is the right one

Treatment plan validation — when a complex plan is right, the owner sees why

For a diabetic cat on an intensive insulin protocol, the trust layer is designed to run an evidence-based review and explain, in plain words, why the plan follows the evidence for this glucose curve. The aim: the owner understands, and stays with their vet.

ClinicianBig picturePet owner
Insight · The trust layer is built to back vets with evidence, so a sound plan is easier to explain.
InsuranceScenarioCase 23
Months, not years · the goal for a new pet line

Domestic insurer — launching a credible pet line with no actuarial foundation

The Underwriting Engine is designed to give the insurer de-identified loss benchmarks and risk scoring, built only on records shared with each owner's separate, revocable consent, so a new pet line can price on several factors from the start.

Big picturePartner
Reference · Trupanion (USA) — multi-factor pricing on longitudinal data.
InsuranceScenarioCase 25
Embedded Enrolment Coming next

Embedded Enrolment — friction-free at the vet counter

At the end of a consult, Embedded Enrolment is designed to let the clinic offer one-tap enrolment in a partner plan: risk data pre-filled with the owner's separate consent, with the quote and payment inside the licensed insurer's or intermediary's own flow.

PartnerBig picture
Sector · Mobile payment is widespread in China, which makes enrolment at the vet counter practical. Insurance products are offered by a licensed insurer; Petnest AI provides the technology.
InsuranceScenarioCase 26
Vet-Counter Direct Pay On the roadmap
One swipe · the goal: the insurer pays the clinic directly

Vet-Counter Direct Pay — the experience that closes the loop

Vet-Counter Direct Pay is designed to validate the claim at the counter, so the insurer pays the clinic directly and the owner pays only the deductible, in the time of a card payment.

Partner
Analogue · Trupanion Express links to the clinic's practice software and pays the clinic at checkout.
Pharma RWEScenarioCase 27
Pharmacovigilance NLP On the roadmap
Monthly
adverse-event signal report

Multinational pharma — faster pharmacovigilance on a chronic NSAID

Pharmacovigilance NLP is designed to scan de-identified clinical notes, shared with consent, for mentions of the molecule, and deliver a monthly adverse-event report grouped by signal type, breed, age and comorbidity.

Partner
Reference · SAVSNET (University of Liverpool, UK) mines clinical notes for disease surveillance.
Pharma RWEScenarioCase 28
RWE Study Platform On the roadmap
Opt-in · cohort, with structured outcomes

Chinese veterinary-drug filing — real-world evidence for an approval path

The RWE Study Platform is designed to run a consented study: an opt-in cohort, structured outcome capture, monthly interim reports, and a dataset prepared for the filing with the Ministry of Agriculture and Rural Affairs.

PartnerBig picture
Standard · US FDA GFI #266 (2021, design benchmark) sets out how real-world evidence can support a new animal drug's effectiveness; in China, veterinary-drug registration is overseen by the Ministry of Agriculture and Rural Affairs.
Brand & NutritionScenarioCase 30
RWE Study Platform On the roadmap
Evidence · behind the claim, not just the recipe

Premium renal-support kibble — an evidence-based marketing claim

The RWE Study Platform is designed to run a 12-month observational study tracking creatinine, SDMA, body condition and quality of life, so the brand can back its renal-support positioning with outcome data, within what pet-food labelling rules allow.

Partner
Standard · The study design uses US FDA GFI #266 (2021), its guidance on real-world evidence for animal drugs, as a design benchmark only.
Public HealthScenarioCase 32
Earlier warning · the goal: see an outbreak before it spreads

Syndromic surveillance — early canine enteric outbreak in a tier-1 city

Public-health Surveillance is designed to scan de-identified clinical notes, shared with consent, across a city and send spatial-temporal heatmaps to the municipal authority, for earlier intervention and biosecurity guidance.

Big picturePartner
Precedent · SAVSNET used practice health records to rapidly identify and confirm the 2019–20 UK canine gastroenteritis outbreak.
Breeders & LineageScenarioCase 34
Pet Health Passport In development
Lineage · verifiable, and it follows the kitten

Premium Ragdoll cattery — verifiable lineage, a persistent record

The Pet Health Passport is designed to start with a breeder-signed record that follows the kitten to every owner and clinic. With the owner's consent, the cattery could see long-term outcomes and use them in breeding decisions.

Partner
Sector · In the EU, kept horses must have a single lifetime identification document; for purebred breeding horses it includes the pedigree certificate.
Strategy ConsultingScenarioCase 43
Targeted · launch districts chosen on health data

Premium pet food brand — where to launch, to whom, with what

Population Health Maps are designed to show, from anonymised data, where premium demand is likely, which conditions to address and which owners to reach, so a launch can focus on districts where senior-pet density and spending align.

PartnerBig picture
Analogue · Abroad, studies pooling anonymised records from hundreds of clinics already map common disorders by age and other factors.
No cases match that combination. Try adjusting the filters.
The other 22 scenariosTitles and product modules only; ask us for the full case.
  • Case 04Emergency hospital — more confident imaging reads on the night shiftClinic software
  • Case 05Cardiology referral — outcome tracking that closes the loopClinic software
  • Case 06Mobile vet — a handheld record for home visitsClinic software
  • Case 07Veterinary teaching hospital — a structured clinical corpus for teachingClinic software
  • Case 11Multi-condition consult — differential leads laid out for the vetAI Scribe & EHR
  • Case 13Cavalier King Charles — early mitral valve disease screening at the annual check-upAI Radiology
  • Case 14Puppy emergency — a swallowed foreign body blocking the gutAI Radiology
  • Case 19Multi-pet household — several pets, one dashboardOwner app
  • Case 20Adopted rescue pet — building a record from almost nothingOwner app
  • Case 24Reinsurer — building breed-level actuarial tables for ChinaInsurance
  • Case 29Vaccine booster effectiveness — a multi-centre observational studyPharma RWE
  • Case 31Population Health Maps — a brand plans its premium rangeBrand & Nutrition
  • Case 33Antimicrobial stewardship — antibiotic governance across a cityPublic Health
  • Case 35Working German Shepherd kennel — from pedigree to health outcomesBreeders & Lineage
  • Case 41AI Shopping Agent — the right product, not just the trending oneOwner app
  • Case 44Breeder strategy — what to breed nextStrategy Consulting
  • Case 45E-commerce platform — category strategy based on real consumptionStrategy Consulting
  • Case 46Biotech — R&D targeting and partner selection on real disease incidenceStrategy Consulting
  • Case 47Pharma — market access strategy for a chronic-care drugStrategy Consulting
  • Case 48Breed-specific underwriting — cover built around where injuries really happenInsurance
  • Case 49Life-stage Policy Adjustment — cover that adapts as the pet agesInsurance
  • Case 50Predictive Claims Agent — early warning before the high-cost yearsInsurance

Twenty-eight scenarios, eleven categories.

These are the 28 of the 50 scenarios in our Case Library rewritten for the web; ask us for the other 22. The product architecture shows how they fit together.

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