Clinical Pattern Recognition: Shoulder Pain

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.