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Amazon Starts Selling Software to Mine Patient Health Records

wsj.com

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Re: Amazon Starts Selling Software to Mine Patient Health Records

#2

Post by markolschesky »

If you want to play with this and you're looking for a decent sample exam note, I grabbed some pieces of standard looking notes (Physical, ROS, Hand exam) and tossed them into a gist here: https://gist.github.com/molsches/32fcec2499e95b5b23bc268800e...

Mostly impressive in how it parses the data and can find conditions and tests in the unstructured data. Handles a few things strangely, but I imagine that gets better over time as it continues to be trained.

I think for it to truly be useful it needs some layer of semantic data mapping to something to standards like IMO/SNOMED/LOINC/RxNorm etc but I could see that being where other companies build their "products" on top of AWS vs. AWS competing with other Healthcare ML vendors in the space.

Re: Amazon Starts Selling Software to Mine Patient Health Records

#4

Post by dwighttk »

"It could also be an economic benefit to the Seattle-based center, Mr. Trunnell said. The center has employed about 60 people to scan and pull essential data from records on about 500,000 cancer patients. As automation does more of the work, some employees could do other tasks."

or be fired

Re: Amazon Starts Selling Software to Mine Patient Health Records

#6

Post by bkuehl »

I work in the tech healthcare industry. I wonder why they only went with (or focused on?) ML/NLP text analysis to analyze data. There is a wealth of discrete data available in EMRs (pharmacy, lab, eMAR, etc.). Yes, there is plenty of diagnosis text but that is almost always associated with ICD10 codes. The only area where I believe text analysis would be useful is documentation and microbiology data, and in many cases micro is discrete as well.

Re: Amazon Starts Selling Software to Mine Patient Health Records

#7

Post by markolschesky »

bkuehl wrote: post #6

I work in the tech healthcare industry. I wonder why they only went with (or focused on?) ML/NLP text analysis to analyze data. There is a wealth of discrete data available in EMRs (pharmacy, lab, eMAR, etc.). Yes, there is plenty of diagnosis text but that is almost always associated with ICD10 codes. The only area where I believe text analysis would be useful is documentation and microbiology data, and in many case…

The textbook answer is typically that there is exponentially more data in unstructured data, but I agree with you. I thought about the unmodified use cases for this tooling for awhile and the major use case that I could come up with was finding unknown interactions or side-effects for medication and treatment combination regimens. That's all tracked very poorly in discrete fields today, especially with the nightmare that is cross-organization problem list management. Most drugs are approved by the FDA with the understanding that there will be post-marketing research (read this: https://undark.org/article/fda-drugs-post-marketing-research...), which this could hypothetically streamline.

Re: Amazon Starts Selling Software to Mine Patient Health Records

#8

Post by carbocation »

markolschesky wrote: post #2

If you want to play with this and you're looking for a decent sample exam note, I grabbed some pieces of standard looking notes (Physical, ROS, Hand exam) and tossed them into a gist here: https://gist.github.com/molsches/32fcec2499e95b5b23bc268800e... Mostly impressive in how it parses the data and can find conditions and tests in the unstructured data. Handles a few things strangely, but I imagine that gets better…

Did you grab several pieces from several notes? This looks like a garbled mess to me, but if I understood how you had transformed it to get it into this state, it might make more sense.
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