With complex and evolving coding standards (diagnosis and procedure), manual coding is often time-consuming and prone to human error, leading to claim denials and delayed payments. Autonomous Coding uses AI to interpret clinical documentation and automatically assign accurate codes, ensuring higher efficiency and better financial outcomes for healthcare organizations.
Autonomous Coding leverages advanced Artificial Intelligence (AI) to automate the medical coding process, reducing manual errors, accelerating claim submission, and increasing reimbursement rates. Accurate coding is the foundation of a healthy revenue cycle, as it directly affects reimbursement, compliance, and operational efficiency.
250K man years of expertise led us to using a combination of NLP, Rules Engine and Gen AI, to assign the right codes to every chart.
With confidence scores given by the platform, humans can get involved whenever the score is below a certain point.
The system is ever learning, with every chart it processes, and every change that a human in the loop recommends.
Every chart is processed in real time, as soon as it is available, thus reducing the time between encounters and claim submission.
Built-in compliance checks and audit trails ensures that all codes meet regulatory requirements, reducing the risk of penalties.
Integrates with Electronic Health Record (EHR) and Practice Management Systems (PMS) for streamlined workflows.
AI-driven coding solutions help ensure adherence to evolving coding standards and payer-specific regulations, minimizing compliance risks.
Significantly reduce coding errors and improve first-pass claim acceptance rates, leading to fewer denials and rework.
With up to 97% accuracy, reduce coding errors and improve automated coding accelerating the process, enabling quicker submission of claims and faster reimbursement cycles.
Free up your coding staff from repetitive tasks and allow them to focus on more complex cases and reviews.
Autonomous coding engine together with human in the loop have the ability to reduce denials due to coding by up to 80%.
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