Normal Patients vs Animal Hospital Anomalies

A cross-patient decision sheet: learn the normal baseline first, then use the detection layer that can actually expose its look-alikes.

How to use this page: Find the patient in the first column, compare the three most useful normal traits, then open the linked anomaly detail before choosing treat or reject. The look-alike list is a shortcut to the relevant evidence, not permission to skip checks.

This comparison is built from the ten normal patient baselines and the eighteen confirmed anomaly records already maintained in the wiki. It answers a different question from the patient roster or anomaly index: when two possibilities look similar, which detail should you compare, where should you look, and what action follows? For full per-patient notes, open the patient roster; for the complete anomaly taxonomy, use the anomaly list.

Ten patient baselines and their look-alikes

Normal patientNormal traits to compareEasy-to-confuse anomaliesHighest-value detection layerTreatment or rejection action
Blue RabbitBody colour: Light blue across the whole body, with no patchy or shifting shade | Eye size and pairing: Both eyes large, sad, and the same size as each other | Ear shape and count: Two ears, matched length, uprightCrooked Face, Mismatching Ears, Incorrect Photo, Unnatural Body, TwitchingWindow / visual, CCTV, Clipboard photoThe shift prompt names the symptom and the matching tool — Herbs for a stomach ache, Bandages for bleeding, Medkit for bruises. Follow the prompt rather than the crutch, which tells you the patient is injured but not with what.
Pink RabbitBody colour: Soft pink, even across the body, clearly lighter than the orange and yellow patients | Ear silhouette: Rounded ears, shorter and softer in outline than Blue Rabbit's | Expression: Calm, relaxed, with an expression that does not change while you watchIncorrect Photo, Mismatching Ears, Staring, X-rayed Face, Smiling with Creepy EyesClipboard photo, CCTV, Window / visualApply the tool the prompt names — Herbs, Eye Drops, IV Drops, Medkit, Thermo, Ointment, Bandages, Medicine, Maple Syrup, or Cough Syrup. The patient's colour never determines the treatment.
Green CatBody colour: Green across every visible patch of fur | Bandage placement: Wrapping on the head and limbs in the documented pattern | The parts the wrapping leaves visible: Eyes, muzzle, and ears still readable through and around the wrappingMismatching Face, Black Eyes, Void / Black (CCTV), Incorrect Photo, Unnatural BodyCCTV, Clipboard photoRead the on-screen symptom rather than assuming from the bandages. Bandaging points to an injury, not to a specific tool; the prompt is what selects Herbs, Bandages, Medkit, or another item.
Yellow RabbitMouth and teeth: An ordinary closed mouth with no visible teeth | Body colour: Bright, saturated yellow-orange | Expression stability: One steady expression that does not morph while you watchCrooked Face, Smiling with Creepy Eyes, X-rayed Face, Incorrect Photo, Mismatching EarsWindow / visual, Clipboard photo, CCTVIf the rabbit shows no anomaly traits across the window, photo, and camera layers, treat it as a normal patient using the named symptom prompt.
Gray CatGrey value against the room: Mid-tone grey, distinctly lighter than a black shape and darker than White Cat | Body proportions: Standard cat proportions, no elongated limbs or extra appendages | Eyes: Two matched eyes with normal pupils, not blacked outVoid / Black (CCTV), Black Eyes, Mismatching Face, Unnatural Body, Camera TwitchingCCTVNothing about this patient changes the treatment flow. Apply the tool named by the shift prompt.
White CatBody colour: Pure white, with no grey patches or dark markings | Eyes: Bright, matched, with visible pupils and no blacking | Posture: Seated upright, with an even, still outlineBlack Eyes, Void / Black (CCTV), Mimic, Three Eyes, Hollow FaceCCTV, CCTV and threat route, Window / visualUse the clean seated silhouette to judge limb count and body proportions before admitting the patient.
Brown DogSpecies: A dog, not a rabbit, cat, frog, or penguin | Ear shape, length, and symmetry: Both ears floppy, the same length, hanging at the same angle | Fur colour: Brown across the body, with no grey or pale patchesMismatching Ears, Incorrect Photo, Unnatural Body, Mismatching Face, TwitchingCCTV, Clipboard photo, Window / visualIf a paw is bandaged, still read the on-screen symptom prompt. The bandage shows injury location, not the tool the shift is asking for.
PenguinSilhouette: Upright penguin body with flippers and no visible limbs in the cat or dog sense | Flipper count: Two flippers, matched in length | Black and white distribution: The documented black-and-white pattern in the correct arrangementIncorrect Photo, Static Photo, Unnatural Body, Void / Black (CCTV), Tiny AnomalyClipboard photo, CCTV, Window / visualThe distinctive model does not change the treatment flow. Apply the tool the prompt names in the Medical Wing.
FrogEye count: Two eyes | Body proportions: The documented frog proportions, with the body sitting low | Body colour: Green, matching the cat and frog baselines' shared colour familyThree Eyes, Mismatching Face, Unnatural Body, Tiny Anomaly, Camera TwitchingWindow / visual, CCTVFollow the on-screen symptom prompt exactly as you would for any other patient.
Orange CatStripe pattern: The tabby stripe arrangement shown in the roster photo | Stripe pattern in the photo, not just the fur: Photo stripes and live stripes agree in direction and position | Body colour: Warm orange tabby, clearly separate from the yellow rabbitIncorrect Photo, Mismatching Face, X-rayed Face, Static Photo, TwitchingClipboard photo, CCTV, Window / visualStandard flow. Apply the tool the shift prompt names in the Medical Wing.

The look-alike names are repeated as linked detail cards below. The “highest-value” layer is derived from the category of the documented look-alikes; it never replaces the other available checks.

All 18 confirmed anomaly records

Window / visual · Tier S

Crooked Face

Crooked smile, sharp teeth, large mismatched eyes, or eyes positioned unusually high on the face.

Open detail guide
Window / visual · Tier A

Three Eyes

Three glowing red eyes, extra eye placement, or an eye count that does not match the patient's normal model.

Open detail guide
Window / visual · Tier A

Hollow Face

Dark hollow eyes, sunken facial features, twitching, and a hunched posture.

Open detail guide
Window / visual · Tier B

Smiling with Creepy Eyes

Large black-pupil eyes, heavy under-eye bags, and a fixed oversized smile that does not match the normal patient.

Open detail guide
Window / visual · Tier C

Twitching

Erratic jerking movements, unnatural head/limb twitches, movement pattern different from all normal patients.

Open detail guide
Window / visual · Tier B

Staring

Sustained direct eye contact, head rotation that follows the player, and a gaze that does not break normally.

Open detail guide
Window / visual · Tier C

Tiny Anomaly

Unusually tiny body size, high-pitched voice, short-tailed pink bunny model, or multiple glowing red eyes.

Open detail guide
Clipboard photo · Tier B

Incorrect Photo

Different face, eye or mouth shape, ear shape, ear color, or another visible difference between the photo and the patient.

Open detail guide
Window / visual · Tier B

X-rayed Face

Small wide circular eyes, black pupils, realistic teeth, or an X-rayed-looking face that appears only in one expression.

Open detail guide
Clipboard photo · Tier A

Static Photo

Photo replaced entirely by static/TV snow, blank or black photo frame, no identifiable patient image.

Open detail guide
CCTV · Tier A

Mismatching Face

Face shape, eyes, mouth, or other facial details change between the window and the CCTV feed.

Open detail guide
CCTV · Tier B

Black Eyes

Black bar across the head, realistic black eyes, or direct staring from the patient on the CCTV feed.

Open detail guide
CCTV · Tier B

Unnatural Body

Elongated limbs on CCTV, extra appendages visible, body proportions don't match any normal patient.

Open detail guide
CCTV · Tier C

Staring at Cameras

Unbroken eye contact with the camera, direct gaze while walking, or head movement that keeps the camera in view.

Open detail guide
CCTV · Tier A

Void / Black (CCTV)

Solid black silhouette on CCTV, no features visible on camera despite being visible at window, void-like shape on feed.

Open detail guide
CCTV · Tier C

Camera Twitching

Jerky CCTV movement, flickering around the patient, or motion artifacts that are absent at the window.

Open detail guide
CCTV and threat route · Tier S

Mimic

Mimic form visible on CCTV, camera-only twitching, or a monstrous form that is absent at the window and in the photo.

Open detail guide
CCTV · Tier C

Mismatching Ears

Different ear or horn shape, length, color, or count when comparing the window with the camera feed.

Open detail guide

A repeatable decision order

  1. Identify the baseline. Confirm species, colour, silhouette, and the patient-specific feature listed in the table.
  2. Compare the likely failure layer. Use the photo for model changes, CCTV for camera-only forms, and the window for persistent visual tells.
  3. Resolve uncertainty before treatment. Reposition a camera or wait for movement when the view is incomplete; do not convert a missing signal into a pass.
  4. Take the documented action. Treat only after the available checks agree. Reject an anomaly before treatment and follow its detail page for event-specific handling.

The normal records also document patient-specific traps: large eyes are normal on some rabbits and Frog, bandages are normal on Green Cat, and a distinctive silhouette does not make a patient immune to a changed photo or CCTV form. Those comparisons are why this page exists alongside the individual records rather than repeating them.

Frequently asked questions

What is the fastest way to compare a normal patient with an anomaly?

Start with the patient's documented baseline, then check the layer named by the look-alike: the window for visual changes, the clipboard for photo changes, or CCTV for camera-only changes. A clean first view does not clear the other layers.

Do all normal patients have the same anomaly checks?

The four-layer routine is shared, but the useful comparison changes by patient. Orange Cat needs a stripe comparison, Frog needs eye count and proportions, and Green Cat needs careful photo and camera checks because the bandages hide detail.

Should I treat a patient after one normal-looking check?

No. Complete the available window, photo, CCTV, and document or Scanner checks. If a layer fails, reject before treatment and open the linked anomaly guide for the specific tell.

Are the anomalies on this page official game data?

The table uses the repository's 10 confirmed normal patient records and 18 confirmed anomaly records. The anomaly cards below link to the underlying detail pages, where the evidence status and maintenance notes are kept.