Use Step Functions to orchestrate your entire workflow as a state machine. Step Functions coordinates the processing of multiple Lambda functions, allowing you to perform operations as code for automated processing. You can also limit human error and enable consistent responses to events. EventBridge can schedule the Step Functions state machine to run automatically, reducing operational overhead and ensuring regular processing of your entity resolution process. Additionally, you can automate your extract, transfer, and load (ETL) process by using AWS Glue to crawl your patient dataset and populate the Glue Data Catalog. Finally, monitor the metrics and logs using Amazon CloudWatch, gaining operational visibility and simplifying troubleshooting.

AWS Identity and Access Management (IAM) enforces least-privilege access and can integrate with Lake Formation to create and grant appropriate permissions to stakeholders. This allows your stakeholders to securely query your HealthLake data store using Athena. HealthLake has default encryption at rest and in transit to safeguard your data. You can further enhance your security posture by using Amazon S3 with encryption, access controls, and versioning.

Amazon S3 offers durable data storage with automatic replication across multiple Availability Zones (AZs). You can use Athena for reliable and highly available access to your data in Amazon S3. In addition, orchestrate your workflows using Step Functions, which provide built-in error handling and retry mechanisms. And by running your services on the global infrastructure of AWS, which is designed for fault tolerance and high availability, you help ensure that issues in one Region do not impact services in other Regions.

By using serverless technologies like EventBridge, Lambda, AWS Glue, Athena, and Amazon S3, this Guidance scales your configured resources based on your workload demands. Furthermore, with AWS Glue crawlers, you can automate your ETL process by streamlining data preparation and minimizing manual effort. Also, use the advanced matching capabilities of AWS Entity Resolution to accurately identify and link disparate patient records, optimizing resource utilization and reducing the need for manual intervention. You can then monitor the performance of your resources using CloudWatch, so you can identify and address potential bottlenecks or inefficiencies.

Athena, Amazon S3, Lambda, AWS Glue, and EventBridge scale on demand and only charge you for the resources you use. With Athena, you can analyze data in your HealthLake data store without provisioning or managing any infrastructure, eliminating idle resource costs. AWS Entity Resolution follows a pay-per-use model, where you only pay for the number of source records processed by your workflows.

EventBridge and Step Functions orchestrate workflows in a resilient, efficient manner with minimal resources. And by using Amazon S3, Lambda, Athena, and other serverless services that utilize the renewable energy infrastructure of AWS, your architecture is equipped to scale efficiently, optimizing energy usage.