Clinical documentation is essential, but for many providers, it can be a very time-consuming part of the job. At Oscar, we set out to change that by bringing AI scribing to real-time video visits. Our new tool transcribes the conversation live, drafts a SOAP note in seconds, and helps providers focus more on their patients and less on their screens. To build the tool, we partnered closely with providers and refined the experience through thoughtful pilots. Since April, 97% of Oscar Primary Care video visits have used AI scribing, and providers are spending eight fewer minutes per visit on documentation. The results? Less admin time, more clinical thinking, and better visits. More on what we learned (and what’s next) in the comments. Thanks Sydney Choi for sharing.
Documentation has long been the hidden weight in healthcare - critical, yet time-consuming. Your scribing integration is a masterclass in operational refinement: reducing admin time, elevating clinical focus and enhancing patient experience. As someone who champions cross-functional collaboration and workflow optimization, I am inspired by this leap forward. This is how tech serves people - and how great care starts with great systems.
Congrats! 🎉
Tech is changing healthcare fast. Here’s a quick side‑by‑side: traditional insurance vs Oscar Health (OSCR): https://xmrrwallet.com/cmx.pwww.youtube.com/watch?v=YMsLt0bJITg&t=20s
@Oscar Health AI scribing sounds like a game-changer for freeing providers from administrative tasks! It’s fascinating how technology can enhance patient care by letting docs focus on what truly matters. How do otherHealthTech solutions empower providers differently? I’m curious about the balance between AI and maintaining that human touch in patient care. #HealthcareInnovation #ClinicalEfficiency #FutureOfMedicine
AI Solutions Engineer | Pre & Post Sales | Voice of Customer | Engineering Liaison | Demos & Presentation | Cross-Functional Leadership | Managed development of a successful POC AI RAG chatbot
2wCool! Sounds like the next logical step would be for AI to take those scribed notes, and summarize the salient details. Bullet points that the Dr could quickly and easily visually scan to confirm its captured the entirety of the medically relevant details (its easier for a human to pick out whats missing from a list, than from a story). Then once confirmed, the aI could write the initial story. The clinical documentation. By taking the scribed notes, and the confirmed list of medically relevant details, to convert into the story of the visit. The Dr could then review, edit, and sign off to confirm. Human in loop, working hand-in-hand, to make sure nothing is missed, nothing is inaccurate. There are other next logical steps to come afterwards...