September 16, 2025
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Automating Clinical Documentation with
AWS Bedrock and Claude 3.5 Sonnet
TABLE OF CONTENTS
Introduction
Clinical documentation sits at the heart of modern healthcare, but it also remains one of the biggest challenges for healthcare providers. Physicians and nurses spend hours each day recording patient encounters, filling forms, and ensuring regulatory compliance. The result: less time for direct patient care, higher costs, and growing burnout among clinicians.
Generative AI is poised to transform this reality. With the latest release of Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock, healthcare organizations now have a powerful tool to accelerate clinical documentation workflows while improving accuracy, compliance, and patient outcomes. You can learn more about our AWS Generative AI Services to understand how these solutions can be applied across industries.
Why Claude 3.5 Sonnet for Healthcare Documentation
Claude 3.5 Sonnet is Anthropic’s most capable model yet, designed to balance intelligence, speed, and efficiency. Running in Amazon Bedrock, it allows healthcare providers to tap into advanced AI capabilities without managing infrastructure or training models on sensitive data.
Some of the reasons Claude 3.5 Sonnet is well-suited for clinical documentation include:
- Stronger reasoning – Handles complex, multi-step tasks such as extracting medical findings and converting them into structured summaries.
- Improved efficiency – Delivers faster responses at a lower cost compared to larger models, making it practical for high-volume document processing.
- Contextual understanding – Processes lengthy clinical records and produces concise, accurate notes.
- Secure deployment – Runs within the Bedrock environment, ensuring PHI (protected health information) is handled with AWS’s robust security framework.
For healthcare providers exploring broader automation, our generative AI solutions can also support compliance, analytics, and patient engagement use cases.
How It Works: Automating the Documentation Workflow
Imagine a healthcare provider capturing notes from a patient encounter. Instead of manually typing or dictating every detail, the process can be automated using Claude 3.5 Sonnet:
- Input ingestion – Clinical notes, scanned forms, or transcripts are uploaded into Amazon S3.
- Processing with Claude – Using Bedrock APIs, Claude 3.5 Sonnet analyzes the unstructured content, extracts relevant medical details, and organizes them into standard formats.
- Validation – Human-in-the-loop workflows can be introduced for critical checks, ensuring accuracy before records are finalized.
- Integration – The structured documentation is stored in EHR systems, billing platforms, or compliance repositories.
Supporting AWS services such as Lambda, DynamoDB, and Comprehend Medical can extend the workflow, enabling seamless orchestration and analytics. Learn how our AI services on AWS make these integrations faster and more efficient.
Real-World Use Cases
Healthcare providers and payers can apply this solution across multiple documentation tasks:
- Patient encounter summaries – Convert conversations or rough notes into structured SOAP or progress notes.
- Discharge summaries – Generate concise, standardized reports ready for EHR integration.
- Diagnostic and lab reports – Extract structured data from scanned or text-based documents for analysis and billing.
- Insurance and compliance forms – Automate repetitive administrative paperwork while reducing human error.
Each of these use cases helps clinicians reclaim valuable time, improves consistency in records, and reduces downstream administrative costs.
Security and Compliance Built-In
Healthcare organizations must operate under strict regulations such as HIPAA in the U.S. and GDPR in Europe. By using Amazon Bedrock, providers gain the benefits of AWS’s security-first approach:
- Data encryption in transit and at rest.
- No model training on customer data, ensuring sensitive information stays private.
- Auditability and access controls aligned with healthcare compliance requirements.
This foundation enables organizations to adopt AI for clinical documentation confidently and responsibly.
Getting Started
It’s easy to experiment with Claude 3.5 Sonnet in your documentation workflows:
- Sign in to the AWS Management Console and open Amazon Bedrock.
- Select Claude 3.5 Sonnet as your model.
- Start by uploading a sample set of notes or forms into S3.
- Use the Bedrock API to generate summaries or structured documentation.
- Integrate results with your EHR or data pipelines.
Within minutes, you can validate how AI-powered documentation improves efficiency in your environment. If you’d like expert support in setting up these solutions, explore our AWS Generative AI Services to see how we help organizations integrate Bedrock and Claude effectively.
Final Words
Clinical documentation no longer needs to be a burden on clinicians or a bottleneck in patient care. By combining Claude 3.5 Sonnet with the scalability and security of Amazon Bedrock, healthcare organizations can streamline documentation, improve accuracy, and stay compliant with industry regulations.
At Onedata Software Solutions, we help providers implement and optimize these AI-powered workflows for real-world healthcare environments. Whether you are looking to pilot automation for a single department or scale across your organization, our team can guide you through setup, integration, and compliance best practices.
Start transforming your clinical documentation today. Visit Onedata Software Solutions on AWS Marketplace, explore our AWS Generative AI Services, or contact our team to see how Claude 3.5 Sonnet on Amazon Bedrock can fit seamlessly into your healthcare workflows.
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