PhysioKeys

By Physiokeys

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Overview

PhysioKeys helps clinicians, students, educators, and researchers search physiotherapy and rehabilitation evidence from ChatGPT. Users can search curated PhysioKeys records or PubMed, fetch article details, review abstracts and rights-verified cached full text when available, generate citations, view saved-article metadata, save PMIDs to their private library, and check account allowances. The plugin is intended only for de-identified research and citation workflows and may refuse requests containing patient-identifiable information. It does not provide emergency diagnosis or personalized medical advice.

Tools

fetch

ChatGPT

Fetch one article's full record by id from search or your saved articles: complete abstract, journal, authors, year, DOI, links, a ready-to-use citation, and rights-verified full text (CC0 or CC BY) from the PhysioKeys shared cache or the PubMed Central Open Access subset when the article is openly licensed. Ids look like 'pmid:12345678', a bare PMID, or an article UUID. Does not consume the user's search allowance.

physiokeys_account_status

ChatGPT

Show the signed-in user's PhysioKeys plan and remaining allowances (searches, saved articles, AI credits). Use this when the user asks how many searches they have left or why a search was blocked.

physiokeys_list_saved_articles

ChatGPT

List citation metadata and library status for the signed-in user's saved PhysioKeys articles (their inbox/library), newest first. Private notes, user-created classifications and tags, PDF-upload status, and saved timestamps are not returned. A fetchable id is included only when the saved record maps to a PubMed PMID or PhysioKeys article UUID. Optionally filter by a de-identified title keyword or status.

physiokeys_save_article

ChatGPT

Save an article (by PMID) to the signed-in user's PhysioKeys library inbox so they can find it later in the app. Safe to call twice: if the article is already saved, nothing changes. Counts toward the user's saved-articles plan limit. The connector does not accept or store a free-form note with this action.

search

ChatGPT

Domain-specific search for published physical therapy, physiotherapy and rehabilitation research: musculoskeletal and orthopaedic, sports, neurological, cardiorespiratory, vestibular, pelvic health, paediatric, older-adult, cancer and post-surgical rehabilitation, chronic pain and outcome measures. Typical subjects include tendinopathy, low back pain, osteoarthritis, stroke and gait retraining, COPD, BPPV and falls prevention, and interventions such as exercise therapy, eccentric and progressive loading, and manual therapy. Supports evidence searches for treatment effectiveness, dosage, comparisons, prognosis and assessment, and for systematic reviews, meta-analyses, RCTs or guidelines (pass study_types to return only those designs). Intended for research questions with a physical therapy, physiotherapy or rehabilitation component. Searches a curated PhysioKeys library (source='physiokeys', default) or PubMed (source='pubmed'), returning ranked articles with citations; pass a result id to fetch for the abstract and rights-verified open-access full text when available. Each search call spends one search from the signed-in user's plan, and each continuation is another. Intended for de-identified research queries: the server applies best-effort identifier checks and rejects detected patient identifiers.