{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0c994429980741b0ae3e603ec8562043\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0c994429980741b0ae3e603ec8562043-d0c652e32c92823c.gif","duration":292.397,"title":"Building an Automated Voice Bot for Healthcare Reception","description":"In this video, I share my experience building an automated voice bot for healthcare using Telnyx, OpsGenie, OpenAI Realtime, and FastAPI. I chose Telnyx for its privacy features and higher performance compared to Twilio, which is crucial for handling sensitive patient information. I discuss the improvements made by switching to OpenAI Realtime for more natural conversations and highlight significant bugs found during testing, such as issues with patient record retrieval and language barriers. I suggest that agents should prioritize patient needs over identification and refer urgent cases to the ER immediately. If I had more time, I would enhance the system by adding more edge cases and refining patient profile scenarios."}