In an era where healthcare data is growing exponentially, managing this influx poses a significant challenge, particularly with traditional database management systems. The landscape includes both structured and unstructured data, making efficient handling even more complex. BUDDI AI provides revolutionary solutions in clinical and revenue cycle automation, leveraging artificial intelligence (AI) and deep learning to revolutionize healthcare outcomes for providers, payers, and patients. 

BUDDI AI stands out by providing innovative solutions that streamline critical clinical and revenue cycle functions through its flagship platform, Coding.AI. This platform utilizes state-of-the-art technology to automate medical coding. By integrating AI, BUDDI AI not only enhances efficiency and accuracy but also empowers healthcare stakeholders across the spectrum. HITLAB conducted a thorough review and validation of BUDDI AI’s AI system, particularly focusing on its Coding.AI feature. This comprehensive evaluation highlights the multifaceted benefits and capabilities of BUDDI AI’s platform, underscoring its potential to transform healthcare practices. 

One of the most significant advantages of BUDDI AI’s platform is its exceptional accuracy in coding. The AI-driven system guarantees a 95% or greater accuracy rate, adhering to CMS (NCCI), NCD/LCD, commercial payer, and client guidelines.. In cases where the AI lacks confidence, the system flags the entry for human review, ensuring precision in coding. The platform’s user interface is designed for simplicity and ease of use, with a unique URL for each client that grants access to a personal dashboard. This intuitive interface allows users to monitor progress in real-time and conduct various searches making navigation straightforward even for new users after a brief tutorial. 

BUDDI AI’s integration capabilities are another notable benefit. BUDDI AI understands the critical role Electronic Health Records (EHRs) play in a practice’s workflow. To ensure a smooth integration process, BUDDI AI prioritizes seamless connection with existing systems, regardless of the preferred data exchange method. The platform supports industry standards like HL7, FHIR, and APIs, but can also handle flat files or any custom format a client utilizes. BUDDI AI further demonstrates its flexibility by tailoring output files to specific needs. This adaptability minimizes disruption to existing client workflows and allows BUDDI AI to seamlessly integrate with a client’s unique data exchange preferences. 

BUDDI AI offers a configurable system designed to meet each client’s specific goals and budget. Throughput and turnaround time can be tailored to individual needs, with a direct correlation between these factors and system resource allocation, and consequently, cost. For instance, BUDDI AI can be configured to process 35,000 charts per hour with a six-hour turnaround time, offering a more cost-effective solution for high-volume processing. Conversely, real-time E&M coding requires significantly more system resources to deliver near-instantaneous results, and therefore incurs a higher cost. This flexible approach ensures clients can optimize BUDDI AI’s performance based on their resource allocation and desired turnaround speed.

The extensive review conducted by HITLAB highlights BUDDI AI’s transformative potential in healthcare automation. By focusing on user-friendliness, accuracy, integration, customization, efficiency, and security, BUDDI AI is poised to redefine healthcare operations. Leveraging AI, BUDDI AI is not only addressing current challenges but also paving the way for a more efficient, accurate, and secure healthcare ecosystem.