Medicine-native language model
Avey’s products are powered by a large language model designed for health and medical use cases.
A health-focused AI platform for information support and enterprise clinical workflows.
Avey is a health-focused AI platform built around a medicine-native language model. Avey Chat serves everyday users and healthcare professionals with health-related answers. Its enterprise C-Suite supports provider workflows including clinical decision support, documentation and medical coding.
Use Chat for questions such as understanding blood-test results, preparing questions for a clinician or examining a medical study. Healthcare organisations can request an enterprise demo for clinical workflow support. These are information and assistance tools; clinical decisions and coding outputs require professional review.
Avey’s products are powered by a large language model designed for health and medical use cases.
Avey Chat provides intelligent answers across health and related topics for everyday users and healthcare professionals.
The Enterprise Solution provides clinical decision support for healthcare providers and their physicians.
The Enterprise Solution supports automated documentation as part of clinical workflows.
The Enterprise Solution codes medical concepts, supporting healthcare organizations’ coding and revenue workflows.
Everyday users can use Avey Chat to obtain intelligent answers to health-related questions.
Physicians, pharmacists, medical coders, and other healthcare professionals can use Avey Chat for health-focused information support.
Healthcare providers can use the Enterprise Solution for clinical decision support and automated documentation.
Use the enterprise solution to assist with medical concept coding, then review the output against the clinical record and applicable requirements.
Avey Chat is the health-question interface for everyday users and healthcare professionals. Healthcare providers can request a demo of the enterprise C-Suite for clinical decision support, documentation and coding.
The current API entry is a launch-announcement page with a Notify me signup. Treat it as a planned developer offer rather than an already available integration.
Examples include explaining a blood test in plain language, preparing questions for a doctor, or examining a medical study’s findings and limitations. Review health information with a qualified professional before using it for a care decision.
No. Its clinical features provide decision support and documentation/coding assistance. A professional remains responsible for checking clinical conclusions and outputs.
Os dados de tráfego são apenas para referência.
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