What You Should Know:
– Olive and ASUS announced their partnership to bring AI-assisted medical coding to over 775 U.S. hospitals. Olive will bring ASUS Miraico, the AI medical coding assistant, to healthcare providers via the Olive Helps platform.
– The addition of Miraico to the Olive Helps system will allow the AI to analyze clinical terms in medical records and automatically recommend relevant and accurate ICD-10 codes. This partnership will provide much faster and more accurate medical coding, as well as greater rev cycle efficiency, to hundreds of hospitals nationwide.
ASUS Intelligent Cloud Services (AICS) Background
ASUS Intelligent Cloud Services (AICS), a newly formed software division within ASUS, is working with providers to reimagine care delivery, and accelerate the transformation of a data-driven and AI-enabled healthcare ecosystem with AI services such as ASUS Miraico, the world’s first medical coding AI assistant to capture the complete patient journey. Already deployed in select hospitals, ASUS Miraico, an ICD-10 (International Classification of Diseases, Tenth Revision) AI coding assistant, has greatly improved medical coding productivity and accelerated revenue cycle workflows within hospitals.
Why It Matters
The inclusion of ASUS Miraico as a function within the Olive Helps platform (a platform providing human workers with real-time intelligence) will further streamline hospitals’ revenue cycle management processes. With the addition of Miraico, Olive Helps can further analyze clinical terminology in medical records, increase efficiency in diagnostic-related group (DRG) assignment processes, and automatically recommend the most relevant and accurate ICD-10 codes.
“At ASUS, we are dedicated to empowering healthcare professionals with AI technologies that allow them to better serve their patients and communities,” said Taiyi Huang, Corporate Vice President of ASUS, Head of AICS. “We look forward to working closely with Olive to unlock even more value for our end users and to identify tomorrow’s needs in order to improve efficiencies in healthcare’s revenue cycles.”
