Neural Wave Unveils ‘Buddy’: AI Solution to Revolutionize Medical Coding and Revenue Cycle Management

The annual loss of billions in the US healthcare industry stems mainly from denied claims, often triggered by manual coding mistakes.

Some of the common mistakes are

• Human Error: Manual coding is prone to human error, such as typos, misinterpretations, and inconsistencies, which can lead to inaccurate coding and billing.
• Time-Consuming: Manual coding requires significant time and effort, especially for complex cases or large volumes of medical records, leading to delays in claims processing and reimbursement.
• Training Requirements: Proper training is necessary for manual coders to stay updated with the latest coding guidelines and regulations, which can be time-consuming and costly for healthcare organizations.
• Compliance Risks: Manual coding increases the risk of non-compliance with coding regulations and standards, potentially resulting in penalties, audits, and legal issues for healthcare providers.
• Resource Intensive: Healthcare organizations must allocate resources, including staffing and infrastructure, to manage manual coding processes effectively, adding to operational costs.
• Lack of Scalability: Manual coding may not be scalable to accommodate fluctuations in workload or changes in healthcare delivery models, limiting the organization’s ability to adapt to evolving needs.
• Documentation Challenges: Manual coding relies heavily on the quality and completeness of clinical documentation, which can vary among healthcare providers and specialties, leading to coding discrepancies and inefficiencies.

The CPT Editorial panel of the AMA is responsible for granting CPT codes, which undergo development and review by clinician experts in a transparent process. These codes establish a standardized language for submitting healthcare procedures and services for reimbursement by payors. The introduction of a new CPT code for automated point-of-care retinal imaging promises to streamline the coding and billing process for healthcare providers utilizing new-aged AI technology. However, the code description may undergo further refinement before its scheduled implementation.

In addition, the AMA recently issued a press release outlining policy recommendations for AI in healthcare. These recommendations advocate for the payment and coverage of all healthcare AI systems, contingent upon compliance with relevant federal and state laws and regulations. These include laws governing patient safety, efficacy, equity, truthful claims, privacy, and security, as well as state medical practice and licensure laws, among other criteria.

Neural Wave is revolutionizing the medical coding field with Buddy, the pioneering autonomous AI medical coder. Engineered for near-perfect accuracy, Buddy directly tackles this issue head-on.

• Weekly, the US healthcare system hemorrhages $935 million ($48 billion annually) due to medical billing inaccuracies.
• Shockingly, 80% of medical bills contain errors, with over a quarter attributed to mere typos.
• The culprit behind 63% of these errors lies in coding, while documentation inaccuracies contribute to 44%.
• These mistakes aren’t merely inconvenient; they lead to over half of insurance denials.
• Additionally, 35% of medical bills remain unpaid because of unnoticed errors, each averaging over $100.
• Small hospitals bear the brunt, encountering 30 preventable billing errors weekly.
• Astonishingly, a staggering 90% of US hospitals have fumbled with medical billing at some point.
• The financial burden extends to American families, costing them $500 annually.
• Rectifying these issues demands an average of 30 minutes per billing error.
• It’s no surprise that 65% of US adults have grappled with erroneous charges.
• The cost of coding a bill in the US eclipses $172. Sadly, medical expenses are the primary driver behind 66.5% of bankruptcies.

Your AI Billing Ally

Leveraging unparalleled AI precision, Buddy automates coding to ensure error-free billing, reclaiming every dollar with utmost accuracy.

• Drastically Reduce Errors: Achieve a remarkable 99% reduction in coding errors.
• Reduce Denials: Experience a substantial 90% decrease in denials (not all are coding- related).
• Drastically Reduce Costs and Boost Efficiency: Save up to 80% on costs by swiftly deriving accurate codes 100 times faster, eliminating rework, and enhancing efficiency by 50 times — all autonomously.
• Enhance Revenue Cycle: Streamline revenue cycle with expedited claims processing, reducing revenue leakage and employee turnover.
• Moreover, Buddy is AMA – licensed and HIPAA compliant, ensuring both accuracy and security in medical billing practices.