Our first prototype is ready! Still ugly, but drug comparison is fully working for new diabetes drugs.
First things first: Jacques worked for 6 months as machine learning specialist for another company and rejoined the project. But during Mars, Jendrik did the programming of the whole thing. Thank you, Jendrik!
So at the moment, Jacques is adding more and more diabetes therapies to the data base. The goal is: At the end of November, we want to make a beta testing.
Details of beta testing
Number of participants: 100 doctors
Duration of testing: 1 month
Testing institutions: 50% hospitals/clinics, 50% practices
Medical fields planned: diabetology and pain medicine
Digital health projects need a long development time before you can even see if what you've planned is working.
For testing our way of showing data to doctors, so that they can really decide right away which treatment to use, we testet it with 91 doctors and patients. Per case it took between 1 hour and 3 days to find all parameters, because we did it by hand, without RAMP. But it was completely worth it: Many patients with chronic pain and cancer got better treatments.
Doctors were really happy about our representation of values because they rarely get this high quality of information and they got finally solid information about treatment possibilities they had no chance of knowing about.
We've already started to send out our pitch deck to investors. We've seen that doctors love it and patients can really be saved. And now, we can start adding all medical fields... but we'll put a priority for now on pain medicine, because we've observed that there is particularly much that doctors should now about, that are alle new in research. It would take decades to reach every patient. That's where we can make a big difference.
I'm curious about the feedback from investors...