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Patient electronic health records
Patient electronic health records













patient electronic health records

Therefore, doctors will still have to spend some time checking and verifying the AI-generated text. Like any other generative AI model, GPT-4 is prone to errors and likes to make facts up out of thin (digital) air. Thanks to this remarkable time-saving procedure, the company says, clinics can now accept more patients than before. Predictably, the model in question is OpenAI's GPT-4.Ĭarbon Health states that GPT-4 can generate health summaries (plus medical data digests) in 4 minutes, while puny human doctors seemingly need 16 minutes to attain the same results. The audio recorded from the conversation is transcribed into text through Amazon's AWS Transcribe Medical cloud service, and is then sent (along with existing medical data about the patient) to a machine learning model for AI mumbo-jumbo data processing. Carby works on data recorded during conversations between physicians and their patients, even though it seemingly (still) needs a patient's consent to record and process the check-up meeting.

patient electronic health records patient electronic health records

The company is of course sold on the new generative AI trend too, and it already has an automation tool writing notes in place of human doctors.Ĭarbon Health's AI is nicknamed Carby, and is already integrated into the company's electronic health records (EHR) system used in more than 100 locations for primary healthcare and urgent care clinics managed in the US. What just happened? Carbon Health is a US healthcare chain describing itself as a human-centered "hybrid healthcare provider" which uses the power of technology to make "great care" more accessible to everyone.















Patient electronic health records