Animal Hospital Patient Types: Symptoms and Screening

Every patient type in Animal Hospital: normal patients, story NPCs, and anomaly disguises. Symptom recognition tables, screening order, and the cost of misjudging each type.

Animal Hospital Patient Types: Symptoms and Screening

Every shift in Animal Hospital is a stream of patients arriving at your admissions window, and every single one belongs to one of three types: normal patients, story NPCs, or anomalies wearing a patient disguise. From Shift 2 onward the game starts mixing the dangerous third type into the queue, and your whole job is sorting them correctly — admit the normal ones, turn away the anomalies.

This page breaks down each type, the symptoms that identify them, and the screening order that keeps mistakes rare. The full detection mechanics live in the anomaly detection guide; this page is about knowing what is walking through your door.

The Three Patient Types

Type	Danger	Frequency	Correct Action
Normal patients	None	Majority of the queue	Screen, admit, treat normally
Story NPCs	None	Rare, scripted (Barney, Ron, Ratthew)	Always allow entry — never screen-block them
Anomaly patients	Severe	Scales with shift number	Reject at the shutter, or neutralize if already inside

The type itself is usually obvious — the difficulty is that anomalies are designed to look like normal patients, on a spectrum from laughably obvious to nearly identical.

Normal Patients

Normal animals arrive with coherent behavior and species-appropriate appearance. The symptoms of normality are worth listing because they are exactly what you compare against:

Normal Sign	What You Should See
Body proportions	Species-correct size and limb ratio
Eyes	Two eyes, matching, positioned right
Colors	Fur/skin consistent with the species
Movement	Smooth, natural animation loop
Behavior	Species-appropriate — prey acts like prey
Photo check	Polaroid matches what you saw in person
CCTV check	Camera view matches the in-person view

A patient clearing every row of that table is safe. The faster you internalize what normal looks like, the faster anomalies jump out — pattern recognition beats checklist reading every shift.

Story NPCs

Named characters like Barney appear on scripted schedules and are always safe. The only mistake possible here is rejecting one:

They often look slightly odd by design — that is character styling, not an anomaly tell
Blocking a story NPC can stall the event chain attached to them
Learn the named roster early so you never hesitate at the shutter

Anomaly Patients

The third type is everything else: entities disguised as patients. They range across a difficulty spectrum, and the tells differ at each level.

Easy-to-Spot Anomalies

Tell	Example
Wrong proportions	Unusually tall, short, or distorted limbs
Extra parts	Three eyes, extra limbs
Unnatural coloring	Fur colors impossible for the species
Behavioral inversion	Predator behaving like prey animals around it

Hard-to-Spot Anomalies

Tell	Why It Is Hard	Detection Tool
Slightly off facial features	Eyes or mouth a few pixels wrong	Close in-person inspection
Animation glitches	Movement subtly doesn't loop right	Watch them walk a few steps
CCTV-only distortion	Normal in person, wrong on camera	Step 3 of screening
Photo-only distortion	Normal in person, wrong on the Polaroid	Step 2 of screening

That last pair is the dangerous one — the photo anomalies and CCTV anomalies categories exist precisely because some disguises pass the naked-eye test. Skipping screening steps is how they get in.

The 3-Step Screening Order

The community-standard sequence, applied to every patient without exception:

Appearance check — walk up, inspect in person (eyes, proportions, colors, behavior)
Photo check — inspect the Polaroid before picking it up, compare against step 1
CCTV check — verify the camera view agrees with both earlier checks

Step	Catches	Misses
Appearance	Obvious and moderate disguises	Photo/CCTV-only distortions
Photo	Photo anomalies, in-person disguises confirmed	Camera-only distortions
CCTV	Camera anomalies, everything prior	Nothing — it is the final net

The order matters. Each step is cheap; re-running admissions because you skipped a step is expensive.

High-Confusion Symptom Comparisons

These pairs trip up even experienced screeners:

Symptom A	Symptom B	The Difference
Story NPC "odd" styling	Genuine anomaly tell	Named roster = safe; anonymous odd = screen harder
Lazy animation vs glitch	Glitches break the walk loop	Let them walk 3–4 steps before judging
Dark fur vs wrong coloring	Wrong coloring is species-impossible	Know the species palette
Nervous behavior vs predatory tell	Predatory = stalking other patients	Nervousness alone is normal
Photo slightly blurry	Photo distortion = anatomy wrong	Blur affects the whole image; distortion changes features

The Cost of Misjudging

The two error types are not symmetric, and the asymmetry should drive your decisions:

Error	What Happens	Severity
Admit an anomaly	Attack, sanity drain, possible shift-ending cascade	Catastrophic
Reject a normal patient	Lost income and trust, no danger	Minor
Reject a story NPC	Possible event-chain stall	Moderate
Wave through without screening	Coin flip between income and catastrophe	Reckless

Because a false rejection costs a little and a false admission can end the night, the correct bias is clear: when genuinely torn, reject. Safe-vs-anomaly judgment under uncertainty is covered in depth in the safe vs anomaly patients guide.

Efficient Screening Order for Busy Waves

When the queue backs up, triage in this order:

New arrivals first — nothing waiting, nothing decaying
Then patients showing any behavioral tell — behavioral anomalies escalate with time
Then the visually "off" ones you flagged but not confirmed
Never batch-screen on appearance alone — the photo and CCTV steps exist for the ones that look perfect

In co-op, split the steps: one player on in-person checks, one on photo duty, one watching CCTV feeds. That assembly line processes heavy waves without skipping steps, and it is the backbone of most team strategies.

How Anomaly Frequency Scales by Shift

The mix of patient types is not static — it shifts as your run progresses:

Shift Range	Queue Composition	Screening Discipline Needed
Shift 1	Nearly all normal — tutorial grace	Learn the normal baseline
Shifts 2–5	First obvious anomalies appear	Build the 3-step habit
Shifts 6–12	Harder disguises mix in	Full protocol, no skips
Shifts 13+	Rare and combined anomaly types	Protocol plus team role split
Final shift	Maximum pressure, unique encounters	Everything above, under stress

Two practical takeaways: use the quiet early shifts to burn the normal patient pattern into memory, and never let a mid-run success streak convince you to shortcut steps — the game scales disguise quality to punish exactly that.

Anomaly Detection Guide — the full 3-step protocol with the decision flowchart
Safe vs Anomaly Patients — judgment calls under uncertainty
All Anomalies — the complete entity roster and their disguises

Animal Hospital Patient Types: Symptoms and Screening