Forum Discussion
Parsing unstructured medical data
KelvinChen Thanks for the tip. I'll definitely take a look.
If you work with Trent Norris, please tell him I said hi!
Cheers, Norm
normkatz1 just saw this thread from your side, although it is almost an year old.
Curious to understand the use case you implemented using this feature of Health Text Analytics.
I am using the same but am finding that it does not work well with ICD10CM Data Source for billing code, which by the way is the most commonly Data Source used in the US.
Thanks.
sheepoo I got pulled off that project and was not able to do a full evaluation. I started the project up again last September but we looked at AWS Comprehend Medical, and some higher end products. One of the NLP-specific products we used was clearly superior to the others in terms of parsing, classifying and codifying medical terms from unstructured data but the product is somewhat expensive and their learning curve is also the most complex among those that we looked at. If you're a Python developer with experience with building models for NLP, and a budget of $50K to $100K, then I can provide some more details about our eval and talk about how our company could help you and GE. Let's try to set up a time to connect.
normkatz1 Thanks for the reply.
How would you compare MS Health Text Analytics with AWS Medical Comprehend? I have not had a chance to test AWC MC out yet, though.
Will see what is the best time for us to connect and discuss a little more.
Thanks
- I work mostly with clinical data and do not deal with claims, payers or EOBs. I have not had a chance to run our data set through MS Health Text Analytics but since you mentioned it was not working well for you, I thought I'd let you know that we've tested some other products.