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Animal Hospital Patients & Animals List

Full roster of all 10 confirmed Roblox animal patients. Learn every normal animal baseline first — anomalies are corrupted copies of these patients.

Quick answer: this is the full Animal Hospital patients and animals list — every normal animal, baseline appearance, and the first check before treating or rejecting.
Patient

Blue Rabbit

Normal baseline: Light-blue rabbit, large sad eyes, arrives on a crutch with a leg injury.

A blue rabbit patient seen in the waiting room using a crutch. One of the standard injured patients you treat during a normal shift.

How to handle: Treat as a normal patient — check the injured limb and apply the matching treatment. No anomaly behavior observed for this patient.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Pink Rabbit

Normal baseline: Soft pink rabbit with rounded ears, calm expression.

A pink rabbit patient that appears bedside among the animals waiting for care. Appears as a regular, non-hostile patient.

How to handle: Standard treatment flow. Watch its behavior against the others in the room before clearing it.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Green Cat

Normal baseline: Green cat wrapped in bandages (mummy-style wrapping on head/limbs).

A bandaged green cat patient. The heavy wrapping suggests a recovering or heavily-injured patient in the ward.

How to handle: Normal patient. Follow the standard treatment for a bandaged patient.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Yellow Rabbit

Normal baseline: Bright yellow/orange rabbit. The harmless version looks like an ordinary patient.

A yellow rabbit patient. Important: a corrupted look-alike of this rabbit appears as an anomaly, so compare carefully before treating.

How to handle: Treat normally ONLY if it shows no anomaly traits. See the Monster-Mouth Rabbit anomaly for the corrupted version to watch out for.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Gray Cat

Normal baseline: Neutral gray cat with plain features, seen among bedside patients.

A gray cat patient that appears alongside the other animals being treated. A regular patient with no observed anomaly behavior.

How to handle: Standard treatment flow.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

White Cat

Normal baseline: Pure white cat with bright eyes, seated upright in the waiting area.

A white cat patient common in early shifts. One of the baseline patients every doctor should memorize — anomalies frequently try to mimic this one.

How to handle: Standard treatment flow. Since white cat anomalies are common, always run the full 4-layer check.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Brown Dog

Normal baseline: Floppy-eared brown dog with a gentle expression, often seen with a bandaged paw.

A friendly brown dog patient that appears in mid-shift waves. Note the floppy ears — anomalies mimicking this patient often get the ear shape wrong.

How to handle: Normal treatment. Pay attention to ear shape when checking for look-alike anomalies.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Penguin

Normal baseline: Small black-and-white penguin with flippers, waddles into the waiting room.

A penguin patient that appears in later shifts. Its distinctive silhouette makes it harder for anomalies to convincingly mimic.

How to handle: Standard treatment. The unique body shape makes visual-layer detection easier than with rabbits or cats.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Frog

Normal baseline: Small green frog with large eyes, sits low in the waiting room chair.

A frog patient seen in mid-to-late shifts. Its small stature and large eyes are the key features to verify against anomalies.

How to handle: Normal patient. Compare eye count and body proportions — anomalies mimicking frogs often have wrong proportions.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Patient

Orange Cat

Normal baseline: Warm orange tabby cat with stripes, relaxed posture in the waiting area.

An orange tabby cat patient that appears throughout most shifts. One of the more common patients — memorizing its exact appearance helps spot copycat anomalies.

How to handle: Standard treatment. Verify the tabby stripe pattern matches the patient roster photo.

Reject if the species, color, face, photo, or CCTV view does not match this baseline.

View patient guide

Treating patients correctly

Normal patients arrive with a clear problem — an injured limb, bandages, or a visible ailment — and respond to standard treatment. Work through them calmly, but never on autopilot: the moment a patient's face, body, or behavior breaks from what you see here, treat it as a possible anomaly and check the anomaly list instead.

Summary Comparison

Patient stateWhat it tells youBest actionRead next
Normal baselineMatches a known patient exactlyTreat it as the starting referenceContinue the standard patient check
Common confusion pointLooks close to another normal patientSlow down and compare species plus colorPatient Roster, Beginner Guide
Likely anomalyBreaks roster logic or later tools disagreeStop autopilot and verify deeperAnomaly List
Next study pageYou still feel uncertain after the baseline checkMove to the page that explains the mismatch typeAnomalies, How to Identify Anomalies

Final recommendation

The roster matters because it removes uncertainty before the real pressure starts. When the normal animals are easy to recognize, anomaly pages become confirmation tools instead of rescue pages. Learn the baseline until it feels boring, then use that boredom as your advantage during live shifts.

Patient FAQ

Why learn the normal patients?

Anomalies are corrupted look-alikes of the normal animals. If you know exactly what a healthy blue rabbit or green cat looks like, the corrupted versions become obvious. The roster is your baseline — every patient you see should match one of these entries exactly. Any deviation is a red flag.

Do normal patients ever turn into anomalies?

No, normal patients never transform into anomalies mid-treatment. However, some anomalies mimic specific patients — for example, a monster-mouthed version of the yellow rabbit or an all-black version of the blue rabbit. Always compare each arriving patient against the normal roster before treating it.

How many normal patients are in the game?

There are 10 confirmed normal patients, each with a distinct species and color combination. New patients may be added through game updates. Knowing all 10 is essential for efficient play — if a patient arrives that matches none of the known species/color combinations, it is almost certainly an anomaly.

What are the most commonly confused patients?

The blue rabbit and cyan rabbit are frequently mixed up by beginners — one has floppy ears, the other has upright ears. The green cat and purple cat also cause confusion under dim lighting. The pink rabbit and yellow rabbit look similar at a glance but have distinct facial features. Study the subtle differences: ear shape, body color shade, and facial features.

How do I quickly check if a patient is real?

First, match the species and color to the roster. Then check the clipboard photo — does the photo exactly match the patient standing in front of you? Finally, check CCTV: does the camera feed show the same patient? A photo or CCTV mismatch means reject immediately, no exceptions.

Can I memorize the patients without playing the game?

Yes. Study this roster page before your first shift — especially the appearance descriptions and distinguishing features. Knowing the baseline by heart means you can spot anomalies instantly instead of second-guessing yourself under pressure. Many experienced players keep this page open on a second monitor while playing.

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