AWS prescriptive-guidance documentation change
Summary
Updated documentation links for Amazon QuickSight and AWS Fargate to point to official user guides.
Security assessment
Link updates improve accuracy but contain no security-related content. No evidence of addressing vulnerabilities or describing security features.
Diff
diff --git a/prescriptive-guidance/latest/strategy-modern-healthcare-data/implementing.md b/prescriptive-guidance/latest/strategy-modern-healthcare-data/implementing.md index ccb8f7eb1..153a1fb0f 100644 --- a//prescriptive-guidance/latest/strategy-modern-healthcare-data/implementing.md +++ b//prescriptive-guidance/latest/strategy-modern-healthcare-data/implementing.md @@ -13 +13 @@ For implementing your modern healthcare-data strategy, we recommend following th - * **Work backwards from frontline needs** – For each organizational role, identify what data is needed, when, and in what format. Next, determine the origin of the data and how to deliver it on time. Deliver the data in a format that the users can easily understand and apply. For example, use [AWS HealthLake](https://aws.amazon.com/healthlake/) and [Amazon Quick Sight](https://aws.amazon.com/quicksuite/latest/userguide/quick-bi.html) to build dashboards that include understandable data visualizations. Where possible, build self-service solutions that end users can access and manipulate without the need for analyst or data scientist intervention. + * **Work backwards from frontline needs** – For each organizational role, identify what data is needed, when, and in what format. Next, determine the origin of the data and how to deliver it on time. Deliver the data in a format that the users can easily understand and apply. For example, use [AWS HealthLake](https://aws.amazon.com/healthlake/) and [Amazon Quick Sight](https://docs.aws.amazon.com/quicksuite/latest/userguide/quick-bi.html) to build dashboards that include understandable data visualizations. Where possible, build self-service solutions that end users can access and manipulate without the need for analyst or data scientist intervention. @@ -19 +19 @@ For implementing your modern healthcare-data strategy, we recommend following th - * **Use managed and serverless services** – Decrease the undifferentiated heavy lifting of server and operating-system configuration, patch management, and monitoring by using managed services, where the cloud service provider manages the underlying infrastructure for you. Shift your IT staff resources from system management (keeping the lights on) to data innovation. For example, use [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Fargate](https://aws.amazon.com/fargate/) for compute services, [Amazon Aurora Serverless](https://aws.amazon.com/rds/aurora/serverless/) for relational databases, and [Amazon Redshift Serverless](https://aws.amazon.com/redshift/redshift-serverless/) for your data warehouse. + * **Use managed and serverless services** – Decrease the undifferentiated heavy lifting of server and operating-system configuration, patch management, and monitoring by using managed services, where the cloud service provider manages the underlying infrastructure for you. Shift your IT staff resources from system management (keeping the lights on) to data innovation. For example, use [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Fargate](https://docs.aws.amazon.com/AmazonECS/latest/userguide/what-is-fargate.html) for compute services, [Amazon Aurora Serverless](https://aws.amazon.com/rds/aurora/serverless/) for relational databases, and [Amazon Redshift Serverless](https://aws.amazon.com/redshift/redshift-serverless/) for your data warehouse.