Physician assistant · Allentown, Pennsylvania

Clinical experience. Clear language. Claims that can be checked.

Stephen McCarthy is a physician assistant with a clinical background in psychiatric care, addiction treatment, and inpatient and outpatient settings. This site shares his writing on psychiatric language and clinical reasoning.

Stephen McCarthy
Stephen McCarthyPhysician assistant and writer

A cleaner evidence trail

What this site will and will not claim

01

Professional identity

Name, education, NPI, and clinical background are presented conservatively and linked to records where available.

02

Licensure

Licensed in Pennsylvania and Utah.

03

No ornamental claims

No invented testimonials, ratings, patient totals, media coverage, awards, or unsupported certification claims.

A practical visual guide

Three jobs, not one shortcut.

Good clinical language starts by recording what is present. A category may then help organize that record, while explanation remains a separate question for evidence to answer.

See the distinction in the essay
Diagram showing observation, classification, and explanation as separate stages of clinical reasoning

Clinical reasoning

Three distinctions worth protecting

The goal is not to deny suffering. It is to keep description, classification, and causal explanation from melting into one word.

Observation

Describe before explaining

What is happening, when does it occur, how severe is it, and what function is impaired? Those questions come before the label.

Classification

Utility is not the same as validity

A diagnosis can help communication, access, and treatment planning without proving that it is a discrete disease entity.

Explanation

A label is not its own mechanism

Causal claims need evidence beyond the criteria used to assign the diagnosis. Otherwise the explanation simply walks in a circle.

“A diagnostic label may be a useful map pin. It is not automatically a bacterium, lesion, or causal mechanism.”

The distinction matters because patients deserve language that clarifies what is known, what is inferred, and what remains uncertain.

About the approach