README: describe the maintainer's role and qualification in the AI disclosure
Assisted-by: Claude (Anthropic) via the pi coding agent
MREADME.md
@@ -185,17 +185,21 @@ The same checks, plus `go mod tidy` and `govulncheck`, run in CI on every push
## Use of AI
This project was written with an AI coding assistant: Claude by Anthropic, a
large language model, working through the pi coding agent.
The maintainer chose the features, gave direction and decided what went in;
the model wrote most of the code, the tests, this README, and the clinical
large language model, working through the pi coding agent. The model wrote
most of the code, the tests and this README, and drafted the clinical
content.
The maintainer is a state-certified masseur and physiotherapist trained in
Germany. They chose the features, set the clinical direction (for example an
ICF-oriented, evidence-based assessment with red/yellow flag screening and
outcome measures) and are responsible for the clinical content.
That clinical content includes the structure and wording of the assessment
form, the red/yellow flag lists, the suggested assessment instruments, the
sample knowledge entries and the patient summary templates. It was drafted
by the model from general physiotherapy knowledge, **not** from a reviewed
clinical source, and has not been checked by an independent clinician.
Check it against current guidelines before you rely on it. The software
by the model from general physiotherapy knowledge, not taken from a specific
guideline or textbook. If you use PhysioBase in your own practice, check it
against current guidelines and your own professional judgement. The software
supports documentation; it does not make clinical decisions.
The code is checked by automated tests, `go vet`, golangci-lint (including