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by _DeadFred_ 510 days ago
I remember working in the operating room space. I noticed some sites had cameras built into their lights. I asked if they wanted to be able to capture images timestamped to entries in the case record. Everyone was adamant they did not want that as it would open them up to too much subjective liability.

We have a hard time capturing enough information to be useful and understand things. I didn't realize before now but AI is going to make that much much worse. In aerospace we had yearly training from out insurance company lawyers on how to record information into our systems, format emails, etc. It was interesting getting to interface with high power Lloyds lawyers but also surreal/kinda wrong.

You probably mean well. Something something road something something good intentions.

Meta (not the company) AI product idea from this. AI to skim your reports and make sure there is nothing that a 'legal AI' could reconstruct into a lawsuit narrative. It scans all medical records before saving and recommends verbiage adjustments. (You're welcome dev at Oracle reading this needing to respond to an 'Larry needs medical software value propositions for AI' email). Begun the AI wars have. Why stop there with my above examples. Siemens needs a legal AI for PLM at the least as manufacturing engineer defect notes could definitely be interpreted in legally sketchy ways so should be auto scanned/rejected/massaged. On weird note on one part that went through MRB/NCR that ended up in a crashed plane could be trouble.

3 comments

Thanks for your comment! Medical chronologies are already very common across personal injury law and other legal practice types. The problem is that paralegals are spending days, if not weeks, combing through thousands of medical records and entering them into an Excel spreadsheet. This automates most of that task.
And the companies that can afford to hire experienced humans keeps winning law-suits. Until the judiciary is automated.
These cases often bring in medical records experts when one side disputes the scope or completeness of their access. That’s where I’d expect AI to debut.
Actually, Siemens Healthineers could do three things:

1. Style transfer from one standard to another. Would a particular history have resulted in this FHIR v5 data when it was written under FHIR v4?

2. The ability to incorporate feedback for de-identification. In court, that must be explained as an accidental parallel construction rather than an oversight flaunting GDPR; or worse, a hallucination substituting in training data. Siemens could build a product that proves so.

3. Automatically cache pre-filled chronologies. This is easier than the other two, and what I’d expect lands on someone’s desk. By pre-forming the (usually expensive) paralegal material, a doctor or administrator can preview the legal case they’re up against. And alternatively, a plaintiff can claim that a hospital or doctor was aware of the risk of a pre-existing condition. Siemens mostly speaks in risk.