Comment by jmward01

Actually, yes. I have seen this specific industry mature from the very first fully automated note and kept tabs on it. The accuracy has increased massively and continues to increase due to several factors:

- Speech recognition and frontier models are continuing to get better at handling these types of conversations across accents, languages and specialties. The trend is obvious and clear here. Compare GPT 4 with Opus 4.7 and there is no contest. I'd even take GPT 5.4 nano over GPT 4 right now. So, yeah, they have been improving and, yeah, they will keep on improving.

- The pipelines these models are being built into are getting much more sophisticated than just 'transcribe with x and have GPT XX clean it up'. The people building these things aren't standing still. Even if they did keep using the same models the pipeline improvements would make things get better over time. Add that in with the model improvements and the gains are even greater.

- The companies doing this work are seeing more and more edge cases. Data matters. More and more practitioners are using these things. That means more to learn from. It also means more stories of things being wrong. If you cut your error rate in half but increase your customer base by 10x then you will be hearing about 5x the problems. We are seeing that right now.

- Providers are starting to adjust to the technology (repeat areas they know may cause trouble, adjust their audio setups, etc etc) Just like any technology both sides shift and it matters. The first users were champions. The second wave were mixed between champions, haters and people that didn't care yet. Now people are really starting to count on this technology. They know it isn't a fad and isn't going away and are actually using it day to day to get their work done. This means they are adjusting to it as needed to get to the next patient/note/etc.

This stuff is just a few years old and the gains are obvious and massive. They aren't going to suddenly stop improving. There is an argument that they will asymptotically approach some level of utility, but we are still gaining quickly right now.