TachyHealth, a healthcare technology startup providing intelligent solutions for value-driven healthcare, has launched a new AI language model for its AiCode solution trained on the Saudi billing system published by the Council of Health Insurance (CHI). The model results in a significantly reduced margin of error in medical coding, enabling providers and payers in the Kingdom to receive the correct reimbursement for their services, therefore minimising the risk of financial losses. 

Based on machine learning, the AiCode model allows users to create natural language prompts before assigning in seconds the appropriate International Classification of Diseases (ICD10-AM) codes, as well as procedures codes (Nphies), resulting from its understanding of the text. 

The conversational approach reduces the time and effort required by medical coders, allowing them to focus on more critical tasks, directly impacting the quality of patient care. AiCode also allows providers and payers to better understand patients’ medical histories, track treatment progress, and make well-informed decisions about their care plans. 

By staying up to date with the most recent codes, furthermore, AiCode helps healthcare providers and insurance companies maintain the highest standards of medical billing, avoiding potential issues. 

Dr. Osama AbouElkhir, CEO of TachyHealth, said: “The need for accurate and efficient medical coding in the Kingdom has never been more critical, as it directly impacts the quality of care and the financial wellbeing of the healthcare system. Our new language model for Saudi medical coders is based on the most sophisticated machine learning engine, ensuring a far superior user experience and more accurate results.”