Protokinetics For Physical Therapists
QGA vs observational analysis
- temporal and spatial parameters
- coefficient of variation
- relative pressure
- step and stride
- gait phase
- gait cycle
- Center of Pressure (COP)
- static measurements such as quiet standing
- and more.
This data can be used to create standards and baselines against which the patient’s progress can be compared, independent of or as an adjunct to the physical therapist’s observations.
Protokinetics gait analysis software is also useful in analyzing post-orthopedic surgical success when a baseline has been created pre-surgery. Physical therapists can also develop baselines and assess progress, retrogression, or regression in patients with stroke, Parkinson’s disease, concussion, Alzheimer’s Disease, MS, spinal injuries, amputations, and many more progressive conditions and diseases
Maximize physical therapy lab efficiency
PKMAS and Zeno Walkway offer an opportunity for physical therapy labs to maximize efficiency, as lab staff can be trained in data collection and physical therapists can interpret the parameters.
This also lets the therapist accurately observe how gait parameters change over time via rehabilitation techniques.
Additionally, gait analysis data can be compared to determine treatment parameters for each patient and to determine treatment progression to achieve the most efficient gait.
As healthcare moves to outcomes which require quantitative analysis, shorter hospital stays and increased function, measuring gait will become more important in identifying levels of patient progress, functional loss or disability.
Quantitative Gait Analysis provides information about the impact of impairments on functional movement, offering physical therapists important additional measures when assessing patients at intake or measuring progress in walking.
Comparing data from QGA made before and after treatment can help determine treatment protocols and when the effect of treatment has plateaued.
Protokinetcs PKMAS software and Zeno Walkway offer:
- Functional gait outcomes
- Testing treatment efficacy
- Track and report recovery and disease progression longitudinally
- Compare gait conditions to determine optimal performance with assistive devices, such as walker vs. cane vs. FES or SMO vs. AFO (braces)
- Quantify gait analysis to create treatment plans and treatment goals
- Show patients quantitative data to assist with patient compliance
- Send quantitative clinical data to insurance carriers to speed reimbursement