Anima Uses GPT-6 and GPT-Live to Cut Clinic Call Waits

Introduction

Anima, a healthcare technology company, is helping clinics streamline patient interactions and administrative tasks by integrating advanced AI models from OpenAI. By deploying GPT-6 for document processing and GPT-Live for voice-based patient intake, Anima aims to reduce bottlenecks in clinical workflows and improve responsiveness to patient needs.

The company, which originated in the UK, now serves over 14 million patients across more than 1,000 clinics and handles over 800,000 cases monthly. It is currently expanding into the US and Australia, with its AI-powered tools showing measurable improvements in clinic efficiency and patient satisfaction.

Reducing Call Wait Times with AI Voice Assistants

Anima’s AI receptionist, named Andi, is powered by GPT-Live and enables patients to describe their symptoms over the phone. The conversation is guided by a proprietary policy engine that ensures clinically approved intake workflows are followed. Once the interaction is complete, GPT-5.4 mini selects the appropriate questionnaire, and the resulting medical history is formatted into a structured case for clinic staff.

According to Anima, clinics using Andi have seen phone wait times drop from 40 to 50 minutes down to just 10 minutes—a reduction of at least 75%. Patient surveys show that 86% of users would engage with Andi again, with older demographics reporting high levels of satisfaction due to the agent’s patience and politeness.

Accelerated Document Processing with GPT-6

Anima’s Documents product uses GPT-6 to extract key metadata from incoming clinical documents, including sender details, recipient information, document type, and event dates. A multi-stage pipeline then matches documents to the correct patient, assigns relevant clinical codes, and recommends next steps for clinic staff.

Clinical coding remains a complex challenge due to the vast number of possible SNOMED codes and variability in practice preferences. Instead of requiring manual configuration or model fine-tuning per clinic, Anima relies on in-context learning to adapt model behavior dynamically. Practices that previously processed around 15 documents per hour now handle 30 to 45, with top performers reaching 60 documents per hour. Some clinics have cleared backlogs exceeding 100,000 documents within days of adopting the platform.

AI Scribe for Faster Clinical Note Drafting

Anima’s Scribe product, built with GPT-5.6 Luna, converts consultation transcripts into structured clinical notes. These notes are then reused to draft referral letters and patient follow-up messages. This allows clinicians to focus more fully on patient care rather than documentation.

Tasks that once took several minutes—such as writing consultation notes or generating referral letters—are now completed in seconds. Anima reports that doctors are finishing their workdays on time instead of working late, and patients are receiving timely follow-up communications, which helps reduce anxiety and improve recall.

Operational Impact and Future Outlook

Anima states that most cases across its platform are resolved within 24 hours, with a median resolution time of approximately 3.5 hours. The company attributes these improvements to its integration of OpenAI models, which were selected after benchmarking against other closed-source and open-source alternatives.

Shun Pang, Anima’s CEO and co-founder, emphasized the importance of choosing models that offer superior intelligence, cost-effectiveness, and steerability through in-context learning. His motivation stemmed from witnessing a patient miss critical care due to delayed test result processing, reinforcing his belief that healthcare inefficiencies are often rooted in information flow rather than medical capability.

Conclusion

Anima’s integration of OpenAI’s GPT-6 and GPT-Live models is delivering tangible benefits to clinics by reducing wait times, accelerating document workflows, and supporting clinicians with AI-assisted note drafting. These advancements reflect a broader shift toward AI-enhanced healthcare delivery, where intelligent automation supports both patient experience and provider capacity. For organizations looking to modernize their clinical operations, Grivyonx’s AI automation and DevSecOps solutions can help securely scale similar innovations across complex environments.