Case Study
Healthcare Firm Automates Clinical Notes with Generative AI on AWS
Industries
About the Customer
The customer is a US-based healthcare services company that supports physician practices across the country. It offers clinical documentation tools, transcription, medical billing, and electronic health record (EHR) integration. Its services take routine paperwork off providers’ plates and help them get paid faster for the care they deliver. Because it works with sensitive patient conversations, accuracy and regulatory compliance are central to everything it does.
Challenge
Our Customer's Key Business Objectives
The company turns recorded patient conversations into documentation for its physician clients. To scale this work, it set out to build an AI-driven foundation that converts raw dialogue into structured clinical and billing outputs.
Their key goals included:
Key Amazon Web Services Used
- Amazon Bedrock
- Amazon Comprehend Medical
- AWS Lambda
- Amazon API Gateway
- Amazon Simple Storage Service (Amazon S3)
- Amazon DynamoDB
- Amazon CloudWatch
Third-Party Tools
- Deepgram
- Streamlit
Solution
How Cloudelligent Accelerated the Customer’s Objectives
Cloudelligent designed and implemented an AI-powered documentation and clinical reasoning system for the company. The solution moved its standard audio transcription process to an event-driven retrieval-augmented generation (RAG) architecture on AWS.
1
Automated Orchestration and Retrieval Pipeline
Cloudelligent built an event-driven pipeline on AWS Lambda to orchestrate the end-to-end documentation logic. The solution connects to the company’s existing Deepgram transcription platform through Amazon API Gateway. Each incoming transcript triggers a multi-stage workflow that ingests the data and passes it to the processing engine. Repeatable automation replaces manual administrative steps and delivers results in seconds.
2
AI-Driven Clinical Knowledge and Indexing
A clinical knowledge base was created by bringing official CMS guidelines and palliative care references into a structured RAG architecture. Amazon Simple Storage Service (Amazon S3) provides secure storage, while Amazon DynamoDB manages prompts and configuration. The system indexes these domain-specific datasets for fast, accurate retrieval. The pipeline then merges regulatory guardrails with live transcript data on every request.
3
Clinical Reasoning and Medical Entity Extraction
With retrieval in place, Cloudelligent added Generative AI logic using Amazon Bedrock and Amazon Comprehend Medical. Amazon Comprehend Medical extracts key medical terms, dosages, and conditions from each conversation. Large language models (LLMs) on Amazon Bedrock combine these insights with patient context. The result is structured, billing-ready SOAP notes generated automatically.
4
Testing Enablement and Operational Handover
A lightweight Streamlit interface was deployed for rapid testing and demos. Stakeholders use it to tune prompts, validate clinical outputs, and track token usage in real time. Amazon CloudWatch provides session logging and dashboards for full observability. Knowledge transfer sessions ensured a smooth handoff and a reusable blueprint for future production phases.
Results & Benefits
The Value of Our Cloud-Native Solutions
Cloudelligent delivered a validated, secure Generative AI framework that turns patient conversations into billing-ready documentation. The engagement was scoped as a Proof of Concept (PoC) focused on technical feasibility. It confirmed the core capabilities needed for a future production rollout. Key outcomes include:
Less Paperwork, More Time for Patients
Clinicians no longer need to write every visit note from scratch, eliminating heavy administrative overhead. The company estimates savings of 15 to 30 minutes per note by using an automated note generation system. That time can go back to patient care, and quicker notes help bills go out sooner.
More Consistent, Billing-Ready Notes
Every note follows the same clear structure, no matter which clinician or conversation it comes from. Generated clinical documentation is inherently optimized for billing readiness and tightly aligned with official regulatory protocols. This means fewer corrections and smoother claim submissions for the teams that rely on them.
Scalable Architecture for Future AI Capabilities
The company now has an AWS-native architecture able to seamlessly scale as they transition from the PoC phase into production. New AI features and broader automation can be added without starting over. This perfectly positions the company for a successful production roll-out and live clinician deployment.
Why Amazon Web Services?
Why Cloudelligent?
Cloudelligent is an AWS Partner that helps businesses architect, build, migrate, and manage their workloads to accelerate their journey to the agile cloud. We support organizations to achieve the desired outcomes and reach new emerging global markets with a diverse team of AWS-Certified Solution Architects and Engineers.
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