I don't agree with this. Have you not seen the work by Regina Barzilay and David Sontag at MIT? His paper about embeddings of categorical data across 4.5million medical records?

You can build an entire CDS from the data, which is publicly available.

And if you can't find a problem to solve, then why don't you ask where the pain is? There are a _ton_ of low hanging fruit items that NLP and Deep Learning that can help with _today_ in the clinical environment. How about:

Question-answering for doctors that immediately need to find time-critical facts from a patients medical record? My sister, a hospitalist, begs for help in this area when treating seriously ill patients that come into the ER from different hospitals.

How about helping insurers better model their patient populations from unstructured data?

ICD coding for medical billing, our extremely wasteful 16-20billion dollar a year industry with _terrible_ NLP solutions in the current market?

There are problems to be solved. You just need to ask your customers, and find their pain.