aiHealth

An advanced AI platform that automates repetitive, multi-specialty CPT® coding tasks, reducing manual intervention, lowering costs, and improving physician satisfaction.

Team

SRG Software
Year

2020 - ongoing
Industry

Healthcare
Platforms

Web
Technologies

.NET Core
Python
Technologies

React
Typescript

About aiHealth

aiHealth is an innovative cloud-based Revenue Cycle Management platform designed to transform medical billing and analytics by utilizing state-of-the-art Artificial Intelligence and Machine Learning techniques. The system extracts ICD and CPT codes, along with other relevant metadata, directly from clinical documentation, significantly enhancing coding accuracy and efficiency. With a mission rooted in healthcare’s Quadruple Aim, aiHealth strives to achieve better outcomes, improve patient experience, reduce costs, and enhance the work life of clinicians and staff. By incorporating self-learning AI tools, the platform continuously evolves, routing exceptions to coders for review while improving workflows and reducing administrative burdens.

Our strategy

SRG software executed a full product development approach for aiHealth, encompassing every aspect of the system from architecture to deployment. Our team designed and implemented a scalable and secure cloud infrastructure tailored to healthcare industry standards. The core of the solution involves integrating cutting-edge AI/ML algorithms that extract, analyze, and validate medical notes with unparalleled precision. Emphasizing a user-centric approach, we developed intuitive interfaces for coders and administrators, ensuring seamless integration into existing workflows. Rigorous testing and compliance measures were applied to meet HIPAA regulatory requirements, making aiHealth a robust and reliable solution for the healthcare sector.

The Results

aiHealth has emerged as a transformative tool in medical billing, delivering superior coding accuracy and operational efficiency. The platform has successfully onboarded many Specialty Provider Organizations and Clinics, and is being used for and increasing number of multi-specialty procedural and diagnosis coding tasks. By aligning with the Quadruple Aim, aiHealth has significantly reduced coding errors, expedited billing processes, and improved resource allocation, resulting in 5x faster turn around times, 30% cost savings, 50% decrease in manual coding and 95% clean claim rate. Clinicians and administrative staff have reported enhanced productivity and reduced workloads, while organizations have benefited from optimized cost management and better data-driven decision-making. The platform’s self-learning capabilities ensure continuous evolution, paving the way for sustained excellence in medical billing and analytics.