Pubblicato da Michael Wong
Controlla app per PC compatibili o alternative
App | Scarica | la Valutazione | Sviluppatore |
---|---|---|---|
Clinical Pattern Recognition | Ottieni app o alternative ↲ | 25 5.00
|
Michael Wong |
Oppure segui la guida qui sotto per usarla su PC :
Scegli la versione per pc:
Requisiti per l'installazione del software:
Disponibile per il download diretto. Scarica di seguito:
Ora apri l applicazione Emulator che hai installato e cerca la sua barra di ricerca. Una volta trovato, digita Clinical Pattern Recognition: Shoulder Pain nella barra di ricerca e premi Cerca. Clicca su Clinical Pattern Recognition: Shoulder Painicona dell applicazione. Una finestra di Clinical Pattern Recognition: Shoulder Pain sul Play Store o l app store si aprirà e visualizzerà lo Store nella tua applicazione di emulatore. Ora, premi il pulsante Installa e, come su un iPhone o dispositivo Android, la tua applicazione inizierà il download. Ora abbiamo finito.
Vedrai un icona chiamata "Tutte le app".
Fai clic su di esso e ti porterà in una pagina contenente tutte le tue applicazioni installate.
Dovresti vedere il icona. Fare clic su di esso e iniziare a utilizzare l applicazione.
Ottieni un APK compatibile per PC
Scarica | Sviluppatore | la Valutazione | Versione corrente |
---|---|---|---|
Scarica APK per PC » | Michael Wong | 5.00 | 1.4.0 |
Scarica Clinical Pattern Recognition per Mac OS (Apple)
Scarica | Sviluppatore | Recensioni | la Valutazione |
---|---|---|---|
$19.99 per Mac OS | Michael Wong | 25 | 5.00 |
Passaggi per configurare il PC e scaricare l'app Clinical Pattern Recognition su Windows 11:
Clinical Pattern Recognition (CPR): Shoulder pain (Updated for iOS 8! Make sure you update your device!) • A powerful comprehensive app linking research to clinical practice • Used in Residency and Fellowship training • Used by some of the top programs in the United States • Guideline based classification system for shoulder pain • Intuitive user interface that mimics the clinical reasoning of a master clinician • Common pain referral patterns link to common hypotheses including: - Frozen shoulder (Adhesive capsulitis) - Shoulder impingement (Subacromial pain syndrome) - Shoulder instability (SLAP lesion, Bankart lesion) - Thoracic outlet syndrome - Acromioclavicular joint sprain • Hypothesized conditions link to their specific key findings and faulty movements • Evidence based impairments are linked to their associated “ideal” interventions including: - Manual therapy - Movement re-education - Therapeutic exercises - Modalities - Patient education • Includes region specific red flag conditions for emergent referral • Over 200 examination, movement analysis, manual therapy and exercise videos/pictures • Multi-angle, High definition video with instructions • Videos of how patients will present in the clinic • Clinical reasoning videos for key findings, differential diagnosis, associated impairments, interventions and movement faults • Direct links to PUBmed abstracts for all techniques (where research is available) • Use clinical pattern recognition to develop your clinical reasoning “flow” or have quick access to all special tests/physical exam techniques, all manual therapy techniques or all exercise techniques Audience: • Physical therapists/Physiotherapists • Physical therapy assistants • Osteopathic physicians • Athletic trainers • Clinicians managing patients with musculoskeletal conditions • Medical professionals • Educators • Chiropractors • Anyone interested in rehabilitation for shoulder pain *This app may require you to be temporarily connected to wifi for downloading.
Clinical Pattern Recognition: Low back pain
Clinical Pattern Recognition: Neck/Upper Back Pain
Clinical Pattern Recognition: Shoulder Pain
PhysioU: NeuroExam
Clinical Pattern Recognition: Wrist and Hand Pain
VerificaC19
Immuni
e-Covid SINFONIA
MioDottore: Prenota una visita
Termometro - misura febbre
GreenPass
SaluteLazio
Gravidanza +
Sanità km zero Ricette
iMamma • Gravidanza e Bambino
Toscana Salute
Coccole Pampers - Pannolini
SHOP FARMACIA
Covid19Verify
Synlab