Anima adopts GPT-6 and GPT-Live to reduce clinical call wait times by 75%

Overview of Anima's AI-Driven Clinical Workflow

Anima, a healthcare platform currently serving over 14 million patients across more than 1,000 clinics, has integrated OpenAI’s GPT-6 and GPT-Live models to streamline clinical operations. By automating patient intake, document management, and clinical documentation, the platform reports a 75% reduction in phone wait times and significantly faster processing of clinical backlogs.

Reducing Patient Call Wait Times with GPT-Live

Anima’s AI receptionist, Andi, is powered by GPT-Live to handle patient phone inquiries. The system employs a proprietary policy engine to guide patients through clinically approved intake workflows, while a GPT-5.4 mini model selects the appropriate questionnaire based on the conversation. This process converts verbal symptoms into structured medical histories for clinic staff review. Clinics utilizing this system have seen phone wait times drop from 40–50 minutes to 10 minutes. Patient feedback has been positive, with 86% of users indicating they would use the service again, including high satisfaction rates among elderly demographics.

Automating Document Processing with GPT-6

To address the challenge of high-volume clinical documentation, Anima uses GPT-6 to extract data from incoming records, including sender information, document types, and event dates. The system utilizes a multi-stage pipeline to match documents to patients, assign clinical codes, and suggest follow-up actions.

Technical implementation relies heavily on in-context learning rather than per-customer fine-tuning, allowing the system to adapt to the specific coding preferences of different practices. This efficiency has enabled clinics to increase processing speeds from 15 documents per hour to 30–60 documents per hour, with some facilities clearing backlogs of over 100,000 documents within days.

Clinical Documentation and Scribe

Anima’s Scribe product, built with GPT-5.6 Luna, assists clinicians by transcribing consultations and generating structured clinical notes. The model uses the context from these transcripts to draft referral letters and patient follow-up messages. This automation allows clinicians to focus on patient interaction during appointments rather than manual data entry. According to Anima, this reduces the time required for documentation and letter writing from several minutes to seconds, helping clinicians finish their shifts on time.

Impact on Healthcare Delivery

By centralizing patient requests, clinical documents, and follow-up tasks, Anima aims to ensure that care follows patient need. The platform reports that the majority of cases are resolved within 24 hours, with a median resolution time of approximately 3.5 hours. Anima’s leadership attributes the success of these mission-critical workloads to the steerability and instruction-following capabilities of OpenAI’s models, which allow for consistent performance across diverse clinical environments.