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It's API-only (or bespoke priced) and it's basically doing tool calls. Here are their example Healthcare prompts:

Help me review this prior authorization for a Medicare patient needing a robotic-assisted lung biopsy. Validate credentials and codes, check coverage requirements, flag missing documentation, and draft a prior authorization recommendation.
Analyze this insurance claim appeal and help me understand why the claim was originally rejected. Cross-reference the patient's medical records and coverage policy to identify whether any supporting justification has been provided. Draft a comprehensive review summary that addresses each denial reason with specific clinical evidence, cites relevant medical necessity criteria, and references any additional applicable information.
Here are today's patient portal messages. Review each one and flag any urgent issues that need immediate clinical attention. For routine questions, draft a response I can review and send. Route other messages to the appropriate department (billing, referrals, scheduling) for support. Summarize what I should review in order of priority.
Here's the recording from my visit with the patient. Generate clinical documentation including the visit summary, assessment, and plan. Flag anything that needs my review before signing.

The third is cringe AF in terms of workflow (because patients are waiting for urgent care for a day) but otherwise, I feel that it's mostly positioning Claude as an assistant still. It's not integrated.

This is getting to a point where I’m not even sure if this kind of AI 'apps' is good or bad. I mean, you can’t deny they bring some efficiency gains and there’s clearly demand for them.

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33 sats \ 0 replies \ @optimism 11h

It doesn't solve systemic inefficiencies, but it does address them, by making the inefficiencies less costly. So short-term, good. Long-term, bad.

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