The device worked. Now the numbers say so.

How Bioness gave every L300 Go trial a record a payer can read

A rep can watch a patient's foot clear the floor for the first time and still have nothing a payer will read. That gap costs configuration upgrades, appeals and time. This case study shows how one device team closed it with a phone and a short walk.

Inside, you will learn:

  • Why a convincing screening-day trial still loses configuration upgrades and appeals
  • What objective before-and-after gait data adds to a letter of medical necessity
  • How patient trials were measured with nothing but a smartphone in a pocket
  • How one dataset served the therapist, the physician, the payer and the rep at once

Common questions on device trials and objective gait data

Why isn't a successful screening-day trial enough for a payer?
A trial shows the clinician and the patient what changed. It does not create a record. Without before-and-after measurement, the case for a specific configuration rests on descriptions like "improved toe clearance," which a reviewer cannot verify or score.

What can a smartphone measure during a device trial?
The patient walks with a phone in a pocket before the device goes on, then again after. OneStep returns 30+ gait parameters and a walk score in minutes, including walking speed, stride length and step length.

How does objective gait data support a letter of medical necessity?
It gives the letter something measurable to cite: the same patient, the same walk, with and without the device, in numbers a reviewer can read.

Download the Case Study