Access to precise, quantitative data
Pinpoint problems faster
No need to rely on inaccurate patient feedback
Access to patient history
Access to pressure data contextualized by gait analysis
A more accurate fitting process means less pain
Less time to get the socket adjusted
Quicker response from the healthcare providers
More transparent and engaging process
Better understanding of clinical decisions
Each patient requires less time from the prosthetists
Time and resources to treat more patients
Access to quantitative data for insurance purposes
Easier to train younger prosthetists, since they can now see the experience of their mentors translated into objective data and concepts
Access to medical history
Patient sockets can be stored digitally
Ability to monitor patients more closely
A more efficient and cost-effective workflow
Most importantly — and regardless of the type of prosthetic used— all amputees need to be properly fitted for their unique socket. Currently prosthetists operate a time-consuming trial-and-error methodology, relying on a patient to flag any discomfort or areas of poor fit with the socket until the final socket is achieved. This is especially time-consuming when you consider that each amputee needs a replacement prosthesis on average every two years.
The trial-and-error cycle can take multiple fitting sessions, sometimes over a number of months, before achieving a functional and painless final socket. This can cause significant discomfort, a loss of mobility, inconvenience, and a number of other physical and psychological effects.
Furthermore, insurance companies and National Healthcare Systems do not pay for prosthetists’ services, only for their products. This means prosthetic centres get a fixed amount of money per patient, regardless of how many interventions are required for the fitting. Their profit is eaten away each time the patient has to come back for further fitting interventions.
In the current process, prosthetists depend heavily on the accuracy of a patient’s feedback. With INSIGHT, prosthetists are presented with high quality biodata gathered by the sensors to complement the patient’s feedback and clearly understand what’s happening inside the socket.
This can even help in detecting problematic areas with the fit before a patient notices the issue, which could traditionally take some days of prosthetic usage to become uncomfortable. With INSIGHT, prosthetists can anticipate and finalise changes to the socket from the first visit.
We do not print sockets...
INSIGHT was designed to capture biodata reflecting the relationship between the patient’s stump and the socket. The socket is prepared by the prosthetist, designed to the patient’s stump, and the scanner creates a 3D model of the socket. The sensors are attached to the socket and wearable device which together measure the pressure in relation to the fit of the socket both when the patient is static and mobile.
We do not replace prosthetists...
We give prosthetists the tools to measure, analyse and iterate their work, in order to provide more efficient and personalised care to their patients. This system empowers them to make more accurate decisions faster, and provides them with a deeper knowledge of their practice.
We optimize workflows...
INSIGHT was designed by understanding the needs and workflows of prosthetists and should fit in with and complement the traditional workflow instead of being a hassle or an “extra-step”.
We believe that our technology improves lives: giving patients and practitioners a smoother fitting experience – and giving patients a prosthetic that fits them better. So we can show it and ensure that our technology is providing the best experience possible, we are running clinical studies around the world.
We believe that our technology improves lives: giving patients and practitioners a smoother fitting experience – and giving patients a prosthetic that fits them better. So we can show it and ensure that our technology is providing the best experience possible, we are running clinical studies around the world.
