Clinical Pattern Recognition: Orthopaedic Suite!

Top Rated Clinical Pattern Recognition App for Physical Therapists is finally here An innovative, simple to use, evidence-based app, developed to help students and clinicians organize and access the overwhelming amounts of information regarding diagnosing, assessing, movement faults, and treatments. This app is specially designed for healthcare professionals. Highly recommend

• rating 5.0

• size 462 MB

Clinical Pattern Recognition (CPR): Elbow Pain 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 elbow pain Intuitive user interface that mimics the clinical reasoning of a master clinician Common pain referral patterns link to common hypotheses including: - Post traumatic elbow stiffness - Tennis elbow (lateral epicondylalgia) - Golfers elbow (medial epicondylalgia) - Ulnar collateral ligament sprain - Cubital tunnel syndrome (ulnar nerve entrapment) - Pronator teres syndrome (median nerve entrapment) - Supinator syndrome (radial nerve entrapment) 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 Assessment for Signs of central sensitization for specific conditions prone to chronic pain 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 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 techniquesAudience: 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 elbow pain*This app may require you to be temporarily connected to wifi for downloading.

• rating 5.0

• size 937 MB

Top Rated Clinical Pattern Recognition App for Physical Therapists is finally here An innovative, simple to use, evidence-based app, developed to help students and clinicians organize and access the overwhelming amounts of information regarding diagnosing, assessing, movement faults, and treatments. This app is specially designed for healthcare professionals. Highly recommend

• rating 5.0

• size 458 MB

Top Rated Clinical Pattern Recognition App for Physical Therapists is finally here An innovative, simple to use, evidence-based app, developed to help students and clinicians organize and access the overwhelming amounts of information regarding diagnosing, assessing, movement faults, and treatments. This app is specially designed for healthcare professionals. Highly recommend

• rating 5.0

• size 506 MB

Top Rated Clinical Pattern Recognition App for Physical Therapists is finally here An innovative, simple to use, evidence-based app, developed to help students and clinicians organize and access the overwhelming amounts of information regarding diagnosing, assessing, movement faults, and treatments. This app is specially designed for healthcare professionals. Highly recommend

• rating 5.0

• size 548 MB

Top Rated Clinical Pattern Recognition App for Physical Therapists is finally here An innovative, simple to use, evidence-based app, developed to help students and clinicians organize and access the overwhelming amounts of information regarding diagnosing, assessing, movement faults, and treatments. This app is specially designed for healthcare professionals. Highly recommend

• rating 5.0

• size 759 MB

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 techniquesAudience: 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.

• rating 5.0

• size 666 MB

Clinical Pattern Recognition (CPR): Wrist and Hand Pain 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 elbow pain Intuitive user interface that mimics the clinical reasoning of a master clinician Common pain referral patterns link to common hypotheses including: - Post traumatic/immobilization wrist stiffness - Carpal tunnel syndrome - Guyons canal syndrome - Wrist sprain - Thumb sprain (ulnar collateral ligament sprain) - Triangular fibrocartilaginous complex tear (TFCC) - Thumb arthritis 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 Assessment for Signs of central sensitization for specific conditions prone to chronic pain 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 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 techniquesAudience: 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 wrist and hand pain*This app may require you to be temporarily connected to wifi for downloading.

• rating 5.0

• size 906 MB