One Platform for Medical Voice AI Workflows (Full Transcript)

[00:00:00] Speaker 1: If you're building a medical note taker, or looking to leverage voice and AI in the medical space, then this is the video for you. Most medical transcribers actually just look like this under the hood. You need accurate transcription of medical terms, and then speaker identification to distinguish between the patient and the doctor, maybe you need PII redaction of sensitive terms like the patient's name or their medical condition, and then you generally need an LLM layer for soap note generation or maybe structured field extraction. Most teams buy these from 4 different vendors, but I'm going to build the whole thing with just one. So I'm going to ask Claude to build a medical note taker that uses Assembly AI. And while it builds, let's talk about why Assembly AI is the best choice as your voice AI infrastructure. With one vendor and one bill, you get access to all of these services end to end. And it's just one security review for your legal team instead of 4. If you're concerned about handling protected health information, Assembly AI operates as a business associate under HIPAA, the Health Insurance Portability and Affordability Act, and you can sign our standard business associate agreement on a regular pay-as-you-go account. No enterprise contract, no spend commitment, no premium pricing. This covers every product in this pipeline. The time to value and time to production is just way faster with Assembly. With access to our MCP servers and our great docs, AI agents can spin up a soap note generator for you today. In fact, I think Claude is done building our note taker, so let's check it out. All of this was done with just Assembly AI. This was powered by Universal 3.5 Pro with medical mode enabled, so you notice we have accurate transcription of the patient's conditions, as well as their prescription drugs. We use entity detection to highlight the medical conditions, prescription drugs and their dosages. And on the right, we have our structured soap note generated by LLM Gateway. All of this was done with just Assembly AI, and I'll include the example code in the description below to get you started. I hope this was helpful for you, and let me know if you have any questions. Bye.