Clinical Pattern Recognition: Shoulder Pain 1.4.0
Continue to app
Paid Version
Publisher Description
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.
Dec 14, 2016 Version 1.4.0 - Major re-organization of content to facilitate improved reasoning development - Implemented user feedback related to categorizing treatments based on purpose - Categorized treatments related to associated impairments to minimize confusion with treatments for primary impairments - Reorganized movement exam based on functional movements for easier integration - Added new pain science content based on recent evidence
About Clinical Pattern Recognition: Shoulder Pain
Clinical Pattern Recognition: Shoulder Pain is a paid app for iOS published in the Health & Nutrition list of apps, part of Home & Hobby.
The company that develops Clinical Pattern Recognition: Shoulder Pain is Michael Wong. The latest version released by its developer is 1.4.0.
To install Clinical Pattern Recognition: Shoulder Pain on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2016-12-14 and was downloaded 7 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Clinical Pattern Recognition: Shoulder Pain as malware if the download link is broken.
How to install Clinical Pattern Recognition: Shoulder Pain on your iOS device:
- Click on the Continue To App button on our website. This will redirect you to the App Store.
- Once the Clinical Pattern Recognition: Shoulder Pain is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
- If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
- After Clinical Pattern Recognition: Shoulder Pain is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
- Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.
