AWS for Industries
GeBBs Healthcare revolutionizes medical coding workflows with Amazon Bedrock
Medical coding workflows in healthcare have become increasingly complex and resource-intensive, requiring specialized expertise to translate clinical documentation into standardized billable codes. For healthcare providers, revenue cycle management companies, and payers, extracting accurate coding information from vast amounts of clinical data, while maintaining compliance, is a daily operational challenge.
Recognizing this critical need, GeBBs Healthcare Solutions, a leading provider of technology-enabled Revenue Cycle Management (RCM) services, set out to transform the landscape of medical coding through artificial intelligence. We’ll explore the journey GeBBs has taken in harnessing Amazon Bedrock to develop an Automated Medical Coding Assistant that processes complex patient medical charts at scale.
After deploying Amazon Bedrock, chart turnaround times improved by 45-55%, while coding accuracy reached 96-98%. We’ll examine how this AI-powered solution streamlined complex coding workflows and empowered healthcare organizations to navigate the challenges of medical documentation more efficiently, while reducing operational costs by up to 35%.
Opportunity: Transforming healthcare revenue cycles
GeBBs Healthcare Solutions is a pioneering company that provides advanced RCM solutions tailored to the needs of healthcare providers, payers, and health systems. With decades of experience in healthcare operations, the company empowers organizations to optimize their billing processes through accurate medical coding of clinical documentation into standardized codes, such as ICD-10, CPT, and HCPCS.
The medical coding process presents several critical challenges for healthcare organizations. The sheer complexity of clinical documentation, combined with evolving coding guidelines and regulatory requirements, creates significant operational bottlenecks. Manual coding processes are not only time-intensive, but also prone to errors that can impact revenue cycle performance and compliance.
Healthcare organizations face a growing shortage of certified medical coders, with demand far exceeding supply. Training and certifying new coders is a lengthy and costly process, often spanning months. This shortage leads to coding backlogs, increased turnaround times, and higher operational costs. Studies indicate that coding delays can extend days sales outstanding (DSO) and increase denial rates, directly impacting cash flow.
Furthermore, the high-stakes nature of medical coding compliance cannot be understated. Errors in coding can result in claim denials, audit findings, regulatory penalties, and revenue loss. Specialty-specific documentation in areas like radiology, surgery, and pathology presents additional complexity that challenges traditional automation approaches.
GeBBs recognized the need for an intelligent solution that could scale to handle large volumes of clinical documentation, while maintaining the accuracy and compliance standards required in healthcare. “We wanted to create a solution that combines the power of AI with deep domain expertise to help our clients focus on patient care rather than administrative burden,” said Milind Godbole, CEO & MD at GeBBs Healthcare Solutions.
The GeBBs solution
Amazon Bedrock provides access to high-performing foundation models from leading AI companies through a single API, enabling organizations to build and scale generative AI applications securely. The HIPAA-eligible infrastructure and enterprise-grade security features of Amazon Bedrock make it ideal for healthcare applications requiring strict compliance and data protection.
GeBBs leveraged Amazon Bedrock to develop their Automated Medical Coding Assistant, utilizing multiple foundation models including:
- Anthropic Claude for clinical reasoning and summarization
- Amazon Nova for procedure recognition
This multi-model approach allows the system to handle diverse clinical documentation types with specialized AI capabilities.
The GeBBs solution is entirely AWS-native, utilizing a comprehensive suite of services to deliver high-performance medical coding while maintaining strict healthcare compliance standards.
Figure 1 – GeBBs high-level architecture for AI-enabled medical coding on AWS
Key components of their AWS-powered solution include:
- Secure document processing: Amazon Simple Storage Service (Amazon S3) provides HIPAA-compliant storage for clinical documents with AES-256 encryption and automated lifecycle policies for protected health information (PHI) retention and management.
- Intelligent model orchestration: Amazon Bedrock enables access to multiple foundation models, with different models optimized for specific document types and clinical specialties—providing optimal accuracy across diverse use cases.
- Scalable processing infrastructure: AWS Lambda functions handle event-driven processing of clinical document batches, automatically scaling based on volume, while maintaining consistent performance.
- API-first integration: Amazon API Gateway exposes secure RESTful endpoints for seamless integration with electronic medical records (EMRs), coding audit tools, and claims management systems, enabling vendor-agnostic deployment.
- Comprehensive monitoring: Amazon CloudWatch and AWS X-Ray provide near real-time operational visibility, performance monitoring, and audit trail capabilities essential for healthcare compliance.
Delivering business outcomes with Amazon Bedrock
By integrating AWS services, GeBBs has achieved several critical business outcomes for its healthcare clients, including:
- Significant cost reduction: Clients have experienced up to a 35% reduction in operational costs for each coded chart, compared to traditional manual coding processes.
- Dramatically improved processing speed: Chart turnaround times reduced by 45-55%, enabling faster billing cycles and improved cash flow for healthcare providers.
- Enhanced accuracy and quality: The solution achieves 96-98% coding accuracy, meeting or exceeding human coder benchmarks while maintaining consistency across high-volume processing.
- Increased productivity: Human coders can now focus on complex edge cases and quality assurance, with the AI Assistant handling routine coding tasks—resulting in three times the productivity improvements.
- Streamlined compliance management: Standardized AI-driven processes with comprehensive audit trails confirm consistent adherence to HIPAA, coding guidelines, and payer-specific requirements.
- Scalable operations: The solution successfully processes over 20 million charts annually across multiple specialties, with new specialty areas onboarded in weeks rather than months.
What’s next for GeBBs
GeBBs is committed to expanding its collaboration with AWS, with future initiatives focused on enhancing their Automated Medical Coding Assistant. They plan to integrate additional AWS services including Amazon Bedrock AgentCore for deploying and operating AI agents securely at scale and Amazon SageMaker AI for advanced analytics and model retraining capabilities.
The company is also developing specialty-specific fine-tuned models for behavioral health, cardiology, and oncology, while expanding multilingual support for global healthcare markets. Future enhancements will include real-time coding assistance tools that provide suggestions to physicians at the point of documentation.
“Amazon Bedrock has been transformational for our medical coding operations. The healthcare industry has long struggled with coding bottlenecks and accuracy challenges—Amazon Bedrock has allowed us to deploy intelligent automation that maintains the highest standards of accuracy and compliance while dramatically improving efficiency. We’ve gone from weeks-long coding backlogs to same-day processing,” said Anil Reddy, SVP at GeBBs Healthcare Solutions.
Conclusion
Through their innovative use of AWS services and deep healthcare domain expertise, GeBBs has democratized advanced medical coding capabilities. With their Automated Medical Coding Assistant, they are making sophisticated AI-driven automation accessible to healthcare organizations of all sizes.
As companies expand their AI platforms, Amazon Bedrock provides healthcare organizations with intelligent automation to optimize revenue cycles and reduce costs. This enables greater focus on patient care.
Contact an AWS Representative to know how we can help accelerate your business.
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