I'm the cofounder of a startup building a new EHR to help solve this problem (we just applied to YCS17).
We will use NLP and AI to provide structured data from unstructured medical data (encounter notes, etc...) stored in the EHR for both analysis and integration. For example, one of our partners right now wants to integrate directly into our EHR in order to run computer vision algorithms on top of uploaded eye exam images in order to help diagnose eye diseases. We give them access to the eye image and other patient data, including the encounter, diagnoses, etc. After they have trained their algorithms, we then allow them to hook directly into the encounter workflow to send alerts live to the doctors during the appointment. We want to be a platform to help other startups and researchers connect with medical data both for analysis and also to help make a meaningful impact directly to doctors' workflows and patient care.
We would love to help out and/or learn about any use-cases that others might have requiring medical data. If you would like medical data or would want to integrate directly into a doctors' workflow in their EHRs based on NLP/AI hooks, we would love to hear from you. You can reach out to me directly at ginn@stanford.edu