Orthopedic shoe technology means responsibility: every step you take has a direct impact on the mobility, safety, and quality of life of your patients. At the same time, orthopedic shoe technicians like you face the challenge of combining precision craftsmanship with modern technology and the increasing demands of doctors, health insurance companies, and patients.

With Orthelligent® VISION, we offer you a tool that makes your skills visible. Whether you are providing custom-made shoes for a diabetic with an unsteady gait or fitting insoles for patients with heel pain, AI-based gait analysis provides clarity, strengthens your patients’ confidence, and facilitates communication with doctors.

Example of gait analysis with Orthelligent® VISION

Case study 1 – Orthopedic shoe technician

Treatment example: Custom-made shoes for diabetic foot

Initial situation:
Mr. Kander, 72 years old, a long-term diabetic, has already had a foot ulcer that has healed. His diabetologist has issued a prescription for custom-made orthopedic shoes. Mr. Kander complains of unsteadiness when walking and avoids going for walks for fear of falling.

Procedure:
The orthopedic shoemaker performs a video-assisted gait analysis with Orthelligent® VISION – front and side views. The AI shows:

• short steps
• prolonged double support phase
• barely any rolling motion over the forefoot

“See here in the video—the foot barely leaves the ground, and rolling is restricted,” explains the technician. Based on the analysis, a custom-made shoe is planned with:

• Firm ankle support for more stability
• Rolling sole (roller)
• Softly padded diabetes-adaptive insole

After completion, a control measurement is taken. The gait pattern has stabilized significantly – Mr. Kander can also see this in the before-and-after comparison. The gait analysis not only shows the effect, but also motivates him to wear the shoes consistently.

Conclusion:
Orthelligent® VISION helps to make risks visible and to make the custom shoe fitting process comprehensible – for the patient, doctor, and technician.

The AI shows: short steps, extended double stance phase, hardly any rolling motion over the forefoot

The analysis shows: reduced rolling motion, asymmetrical stride length, reduced load on the rear foot

Case study 2 – Orthopedic shoe technician

Treatment example: Insoles for plantar fasciitis

Initial situation:
Ms. Möllenhoff, 48, comes to the specialist store with heel pain (plantar fasciitis). The orthopedist has prescribed insoles. The patient wants to understand where her pain when walking comes from.

Procedure:
The orthopedic technician explains: “We will perform a brief gait analysis to see how you walk.” Orthelligent® VISION is used to record her gait pattern.

“Here you can see it – you’re barely putting any weight on your left heel.” The technician explains the effect of a custom-made insole with targeted heel cushioning and longitudinal arch support. The patient opts for a premium insole with a higher co-payment.

After fitting, measurements are taken again – the standing phase is now more symmetrical and the gait more fluid.

Conclusion:
Gait analysis supports the consultation without anticipating therapeutic measures. It reveals what is difficult to see with the naked eye – and increases willingness to seek treatment. Patients are willing to pay for this extra service, will accept further offers, recommend the clinic to others, and return for further treatment.

After fitting, measure again