Narayana Health
Medical coding
Manual coding accuracy swung between 50-98%. A bot now parses clinical notes instantly, replacing backlogs with consistent data.
- 40% reduction in medical coding errors
Privacy rules forced local AI, but hardware costs slowed inference. Optimized CPUs now generate medical reports in under 3 seconds.
A healthcare technology provider delivering specialized medical Large Language Models to hospitals with strict data privacy and on-premise infrastructure requirements.
Hospitals needed to deploy AI models locally for medical report generation to maintain data security, but purchasing dedicated GPU servers was...
“The innovation and widespread application of LLMs represent an important trend in the development of smart hospitals. However, the lean operations in hospitals underscores the pressing need to better unleash the potential of applying LLMs in smart healthcare services with lower deployment costs. Through our collaboration with Intel, we have found a CPU-based LLM inference solution that not only meets the performance requirements but also offers cost advantages, helping accelerate the deployment of LLMs in hospitals, while providing intelligent knowledge services across various hospital scenarios.”
Healthcare software and technology services for hospitals and medical providers.
Microprocessor and semiconductor designer for data centers, PCs, and AI systems.
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