AI-powered medical call analysis is revolutionizing healthcare delivery. Using Amazon Bedrock and cloud technologies, providers can automatically convert patient conversations into searchable records, reducing administrative work while enabling data-driven decisions and improved patient care.
This series will demonstrate building an end-to-end system using AWS services to analyze medical call transcripts. In this first part of the series, we will focus on establishing a secure foundation by creating an AWS account and setting up proper security practices through IAM (Identity and Access Management). This includes creating a dedicated IAM user with appropriate permissions, implementing security best practices, and configuring the AWS CLI for programmatic access. Then we will use Amazon S3 for storing audio files, Amazon Transcribe for speech-to-text conversion and Amazon Bedrock's LLM capabilities for analysis. Deploying the system logic through AWS Lambda will guarantee scalability. The system will include comprehensive logging to monitor performance, accuracy, and provide insights for continuous improvement.
Before we dive into medical call analysis with AWS services, we need to create an AWS account to access the required cloud infrastructure. Second, following AWS best practices, we'll set up a dedicated IAM user instead of using the root account, which provides enhanced security through limited permissions, access tracking, root credential protection, and programmatic access capabilities.
To create an AWS account, visit aws.amazon.com and click 'Create an AWS account'. Follow the setup steps to create your root user account, which has full access to all AWS services. While the root user has unlimited privileges, it's recommended to use it only for essential administrative tasks and protect its credentials carefully.
For security, AWS recommends creating individual IAM users instead of using the root account for daily operations, even for users with administrative permissions. IAM users are identities within your AWS account with specific permissions. Each IAM user has unique security credentials - either access keys for programmatic access or passwords for console access. Unlike the root user with unlimited access, IAM users can only perform tasks they're explicitly granted permission to do.
To create an IAM user, sign in to the AWS Management Console, go to IAM, click “Users” then “Create User”. Enter a username and click “Next”.
After the user is created, you need to set permissions. Click on 'Attach existing policies directly', and in the search bar, type "Bedrock" to find the AmazonBedrockFullAccess policy. Select this policy to grant full access to the Amazon Bedrock service. Click “Next”.
Review the details and click Create.
Lastly, you need to create new access keys for your IAM user. In the IAM console, select your user and click on the 'Security credentials' tab. Under 'Access keys', click on 'Create access key'. This will generate a new set of keys. Make sure to download and securely store these keys; you'll need them to configure your AWS CLI.
To install and configure the AWS CLI on a Windows system, ensure you're operating on a Microsoft-supported version of 64-bit Windows and have the necessary administrative rights. Download and run the AWS CLI MSI installer for Windows (64-bit) from here, or alternatively, use the msiexec command. For silent installations, use the /qn flag. After installation, open the command prompt by searching for cmd in the Start menu and confirm the installation by running the aws --version command. If the program isn't found, refresh the path by reopening the command prompt. Once the installation is successful, run aws configure using your access keys and set the default region. More detailed information can be found here.