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Amazon CloudWatch introduces interactive incident reporting

Amazon CloudWatch now offers interactive incident report generation, enabling customers to create comprehensive post-incident analysis reports in minutes. The new capability, available within CloudWatch investigations, automatically gathers and correlates your telemetry data, as well as your input and any actions taken during an investigation, and produces a streamlined incident report.

Using the new feature you can automatically capture critical operational telemetry, service configurations, and investigation findings to generate detailed reports. Reports include executive summaries, timeline of events, impact assessments, and actionable recommendations. These reports help you better identify patterns, implement preventive measures, and continuously improve your operational posture through structured post incident analysis.

The incident report generation feature is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), and Europe (Stockholm).

You can create their first incident report by first creating a CloudWatch investigation and then clicking “Incident report”. To learn more about this new feature, visit the CloudWatch incident reports documentation.

 

​Amazon CloudWatch now offers interactive incident report generation, enabling customers to create comprehensive post-incident analysis reports in minutes. The new capability, available within CloudWatch investigations, automatically gathers and correlates your telemetry data, as well as your input and any actions taken during an investigation, and produces a streamlined incident report. Using the new feature you can automatically capture critical operational telemetry, service configurations, and investigation findings to generate detailed reports. Reports include executive summaries, timeline of events, impact assessments, and actionable recommendations. These reports help you better identify patterns, implement preventive measures, and continuously improve your operational posture through structured post incident analysis. The incident report generation feature is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), and Europe (Stockholm). You can create their first incident report by first creating a CloudWatch investigation and then clicking “Incident report”. To learn more about this new feature, visit the CloudWatch incident reports documentation.  

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Amazon U7i instances now available in AWS US East (Ohio) Region

Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the US East (Ohio) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page.

 

​Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the US East (Ohio) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.  

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Amazon RDS for SQL Server enables encrypting native backups using server-side encryption with AWS KMS keys (SSE-KMS)

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports encrypting native backups in Amazon S3 using server-side encryption with AWS KMS keys (SSE-KMS). When customers create database backup files (.bak files) in their Amazon S3 buckets, the backup files are automatically encrypted using server-side encryption with Amazon S3-managed keys (SSE-S3). Now, customers have the option to additionally encrypt their native backup files in Amazon S3 using their own AWS KMS key for additional protection.

To use SSE-KMS encryption for native backups, customers must update their KMS key policies to provide access to the RDS backup service, and specify the parameter @enable_bucket_default_encryption in their native backup stored procedure. For detailed instructions on how to use SSE-KMS with native backups, please refer to the Amazon RDS for SQL Server User Guide. This feature is available in all AWS Regions where Amazon RDS for SQL Server is available.

 

​Amazon Relational Database Service (Amazon RDS) for SQL Server now supports encrypting native backups in Amazon S3 using server-side encryption with AWS KMS keys (SSE-KMS). When customers create database backup files (.bak files) in their Amazon S3 buckets, the backup files are automatically encrypted using server-side encryption with Amazon S3-managed keys (SSE-S3). Now, customers have the option to additionally encrypt their native backup files in Amazon S3 using their own AWS KMS key for additional protection. To use SSE-KMS encryption for native backups, customers must update their KMS key policies to provide access to the RDS backup service, and specify the parameter @enable_bucket_default_encryption in their native backup stored procedure. For detailed instructions on how to use SSE-KMS with native backups, please refer to the Amazon RDS for SQL Server User Guide. This feature is available in all AWS Regions where Amazon RDS for SQL Server is available.  

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Amazon EKS Auto Mode now available in AWS GovCloud (US-East) and (US-West)

Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode is now available in the AWS GovCloud (US-East) and (US-West) regions. This feature fully automates compute, storage, and networking management for Kubernetes clusters. Additionally, EKS Auto Mode now supports FIPS-validated cryptographic modules through its Amazon Machine Images (AMIs) to help customers meet FedRAMP compliance requirements.

EKS Auto Mode enables organizations to get Kubernetes conformant managed compute, networking, and storage for any new or existing EKS cluster. Its AMIs include FIPS-compliant cryptographic modules to help meet federal security standards for regulated workloads. EKS Auto Mode manages OS patching and updates, and strengthens security posture through ephemeral compute, making it ideal for workloads that require high security standards. It also dynamically scales EC2 instances based on demand, helping optimize compute costs while maintaining application availability.

Amazon EKS Auto Mode is now available in AWS GovCloud (US-East) and (US-West). You can enable EKS Auto Mode in any EKS cluster running Kubernetes 1.29 and above with no upfront fees or commitments—you pay for the management of the compute resources provisioned, in addition to your regular EC2 costs.

To get started with EKS Auto Mode, visit the Amazon EKS product page. For additional details, see the Amazon EKS User Guide and AWS GovCloud (US) documentation.

 

​Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode is now available in the AWS GovCloud (US-East) and (US-West) regions. This feature fully automates compute, storage, and networking management for Kubernetes clusters. Additionally, EKS Auto Mode now supports FIPS-validated cryptographic modules through its Amazon Machine Images (AMIs) to help customers meet FedRAMP compliance requirements. EKS Auto Mode enables organizations to get Kubernetes conformant managed compute, networking, and storage for any new or existing EKS cluster. Its AMIs include FIPS-compliant cryptographic modules to help meet federal security standards for regulated workloads. EKS Auto Mode manages OS patching and updates, and strengthens security posture through ephemeral compute, making it ideal for workloads that require high security standards. It also dynamically scales EC2 instances based on demand, helping optimize compute costs while maintaining application availability. Amazon EKS Auto Mode is now available in AWS GovCloud (US-East) and (US-West). You can enable EKS Auto Mode in any EKS cluster running Kubernetes 1.29 and above with no upfront fees or commitments—you pay for the management of the compute resources provisioned, in addition to your regular EC2 costs. To get started with EKS Auto Mode, visit the Amazon EKS product page. For additional details, see the Amazon EKS User Guide and AWS GovCloud (US) documentation.  

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Amazon DCV releases version 2025.0 with enhanced keyboard handling and WebAuthn support

AWS announces Amazon DCV 2025.0, the latest version of the high-performance remote display protocol that enables customers to securely access remote desktops and application sessions. This release focuses on enhancing user productivity and security while expanding platform compatibility for diverse use cases.

Amazon DCV 2025.0 includes the following key features and improvements:

  • Enhanced WebAuthn redirection on Windows and standard browser-based WebAuthn support on Linux, enabling security key authentication (like Yubikeys, Windows Hello) in native Windows and SaaS applications within virtual desktop sessions
  • Linux client support for ARM architecture, further broadening compatibility and performance
  • Windows Server 2025 support, delivering latest security standards and enhanced performance on DCV hosts
  • Server side keyboard layout support and layout alignment for Windows clients, enhancing input reliability and consistency
  • Scroll wheel optimizations for smoother navigation

For more information about the new features and enhancements in Amazon DCV 2025.0, see the release notes or visit the Amazon DCV webpage to learn more and get started.

 

​AWS announces Amazon DCV 2025.0, the latest version of the high-performance remote display protocol that enables customers to securely access remote desktops and application sessions. This release focuses on enhancing user productivity and security while expanding platform compatibility for diverse use cases. Amazon DCV 2025.0 includes the following key features and improvements:

Enhanced WebAuthn redirection on Windows and standard browser-based WebAuthn support on Linux, enabling security key authentication (like Yubikeys, Windows Hello) in native Windows and SaaS applications within virtual desktop sessions
Linux client support for ARM architecture, further broadening compatibility and performance
Windows Server 2025 support, delivering latest security standards and enhanced performance on DCV hosts
Server side keyboard layout support and layout alignment for Windows clients, enhancing input reliability and consistency
Scroll wheel optimizations for smoother navigation

For more information about the new features and enhancements in Amazon DCV 2025.0, see the release notes or visit the Amazon DCV webpage to learn more and get started.  

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AWS’ Customer Carbon Footprint Tool now includes Scope 3 emissions data

Today, AWS’ Customer Carbon Footprint Tool (CCFT) has been updated to include Scope 3 emissions data and Scope 1 natural gas and refrigerants, providing AWS customers more complete visibility into their cloud carbon footprint. This update expands the CCFT to cover all three industry-standard emission scopes as defined by the Greenhouse Gas Protocol.

The CCFT Scope 3 update gives AWS customers full visibility into the lifecycle carbon impact of their AWS usage, including emissions from manufacturing the servers that run their workloads, powering AWS facilities, and transporting equipment to data centers. Historical data is available back to January 2022, allowing organizations to track their progress over time and make informed decisions about their cloud strategy to meet their sustainability goals. This data is available through the CCFT dashboard and AWS Billing and Cost Management Data Exports, enabling customers to easily incorporate carbon insights into their operational workflows, sustainability planning, and reporting processes.

To learn more about the enhanced Customer Carbon Footprint Tool, visit the CCFT WebsiteAWS Billing and Cost Management console or read the updated methodology documentation and release notes.

 

​Today, AWS’ Customer Carbon Footprint Tool (CCFT) has been updated to include Scope 3 emissions data and Scope 1 natural gas and refrigerants, providing AWS customers more complete visibility into their cloud carbon footprint. This update expands the CCFT to cover all three industry-standard emission scopes as defined by the Greenhouse Gas Protocol.
The CCFT Scope 3 update gives AWS customers full visibility into the lifecycle carbon impact of their AWS usage, including emissions from manufacturing the servers that run their workloads, powering AWS facilities, and transporting equipment to data centers. Historical data is available back to January 2022, allowing organizations to track their progress over time and make informed decisions about their cloud strategy to meet their sustainability goals. This data is available through the CCFT dashboard and AWS Billing and Cost Management Data Exports, enabling customers to easily incorporate carbon insights into their operational workflows, sustainability planning, and reporting processes.
To learn more about the enhanced Customer Carbon Footprint Tool, visit the CCFT Website, AWS Billing and Cost Management console or read the updated methodology documentation and release notes.  

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Amazon DocumentDB (with MongoDB compatibility) now supports Graviton4-based R8g database instances

AWS Graviton4-based R8g database instances are now generally available for Amazon DocumentDB (with MongoDB compatibility). R8g instances are powered by AWS Graviton4 processors and feature the latest DDR5 memory, making it ideal for memory-intensive workloads. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

Customers can get started with R8g instances through the AWS Management Console, CLI, and SDK by modifying their existing Amazon DocumentDB database cluster or creating a new one. R8g instances are available for Amazon DocumentDB 5.0 on both Standard and IO-Optimized cluster storage configurations. For more information including region availability visit our pricing page and documentation

 

​AWS Graviton4-based R8g database instances are now generally available for Amazon DocumentDB (with MongoDB compatibility). R8g instances are powered by AWS Graviton4 processors and feature the latest DDR5 memory, making it ideal for memory-intensive workloads. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. Customers can get started with R8g instances through the AWS Management Console, CLI, and SDK by modifying their existing Amazon DocumentDB database cluster or creating a new one. R8g instances are available for Amazon DocumentDB 5.0 on both Standard and IO-Optimized cluster storage configurations. For more information including region availability visit our pricing page and documentation.   

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Una nueva herramienta de IA ayuda a los hospitales rurales a mejorar los ingresos financieros

octubre 22, 2025

Una nueva herramienta de IA ayuda a los hospitales rurales a mejorar los ingresos financieros

Doctora sonríe mientras habla con una paciente en una sala de hospital

Por: Erin Burchfield, líder global, crecimiento estratégico, Microsoft Elevate.

Los hospitales rurales brindan servicios de atención médica vitales a comunidades aisladas en los Estados Unidos; para muchas personas, literal, son un salvavidas. Pero estas instituciones enfrentan desafíos importantes, desde escasez de mano de obra hasta dificultades financieras, que amenazan su capacidad para continuar con la atención para sus comunidades.

Un estudio reciente señaló que más de 700 hospitales rurales en los Estados Unidos están en la actualidad en riesgo de cierre debido a dificultades financieras.1

En respuesta a esta creciente crisis, el Programa de Resiliencia de Salud Rural de Microsoft empodera a estas organizaciones esenciales con tecnología y capacitación para que sean más resilientes y aumenten la viabilidad financiera. Esta iniciativa es parte de nuestro Microsoft Elevate, que se centra en proporcionar acceso a herramientas y habilidades de IA para crear oportunidades en varios sectores, incluida la atención médica.

Estamos orgullosos de anunciar que el navegador de denegación de reclamaciones está disponible ahora en el catálogo de GitHub Models, una herramienta gratuita con tecnología de IA desarrollada por socios de Microsoft y líderes de salud rural, de nuestro Laboratorio de innovación de IA de salud rural (RHAIL, por sus siglas en inglés) de Microsoft.

Esta herramienta brinda a los hospitales una forma poderosa de manejar las reclamaciones denegadas de manera más eficiente y recibir el reembolso adecuado por sus servicios. Está disponible ahora en GitHub para cualquier proveedor de atención médica, desde pequeñas clínicas rurales hasta grandes sistemas de salud urbanos.

Obtengan más información sobre el navegador de denegación de reclamos

Mejorar los resultados financieros con una resolución de reclamaciones denegadas más sencilla

Uno de los mayores obstáculos financieros para los hospitales implica la denegación de reclamos de seguros, y para los hospitales pequeños, las consecuencias son en particular graves. Si bien muchas reclamaciones denegadas al final se aprueban, el costo promedio de administrar las reclamaciones denegadas para un hospital pequeño se estima en USD330,000 al año, y el proceso de resolverlas consume tiempo y recursos valiosos, ralentiza el flujo de efectivo e infla los costos administrativos. Además, el análisis estadístico muestra que los hospitales rurales tienen una tasa de denegación del 18%, mucho más alta que la tasa del 10% de los hospitales urbanos.2

Hoy, la disponibilidad del navegador de denegación de reclamos cambia este panorama.

¿Qué es el navegador de denegación de reclamos?

El navegador de denegación de reclamos agiliza los procesos de resolución de reclamos denegados de Medicare, Medicaid y seguros comerciales. Ofrece recomendaciones sobre las acciones más efectivas que el personal de facturación puede tomar para resolver reclamos denegados y aprende de sus acciones y comentarios para mejorar sus recomendaciones con el tiempo. Esta herramienta gratuita es segura (no sale ningún dato de la organización) y fácil de implementar, lo que facilita que los hospitales obtengan beneficios significativos, que incluyen:

  • Flujo de ingresos más rápido: menos tiempo y esfuerzo dedicado a la investigación y resolución de reclamos denegados.
  • Mejora de la competencia del personal: acelera la incorporación de nuevo personal de facturación y la capacitación continua.
  • Mejores resultados financieros: Más reclamos resueltos a un costo menor.

«De manera reciente, Southern Coos Hospital & Health Center hizo la transición [a un nuevo] sistema de registro de salud electrónico. Como parte de este proceso, priorizamos un resumen acelerado de nuestro sistema heredado. Nuestro equipo de ciclo de ingresos aprovechó la aplicación de gestión de denegación para respaldar este esfuerzo, lo que redujo el cronograma de resumen heredado en varios meses. La participación en el programa RHAIL también demostró el valor de desarrollar aplicaciones específicas de bajo costo en áreas operativas clave como el ciclo de ingresos».

—Scott McEachern, director de información de Southern Coos en Bandon, Oregón

«Después de décadas de trabajar para mejorar el acceso y la equidad de la atención médica, he visto cómo las presiones financieras sistémicas amenazan la supervivencia de los hospitales rurales. El navegador de denegación de reclamos representa un paso crítico hacia adelante: una herramienta impulsada por IA que permite a los proveedores rurales recuperar ingresos de manera más eficiente, fortalecer su base financiera y continuar con la atención esencial a sus comunidades».

—Dr. Jim Weinstein, vicepresidente senior de Microsoft Health—Innovación y ex director del Instituto Dartmouth y director ejecutivo de Dartmouth Health

Nos hemos asociado con la Oficina de Clínicas y Hospitales Rurales de Texas («TORCH», por sus siglas en inglés), que apoyará a sus miembros en la implementación y medición del éxito del navegador de denegación de reclamos. La Asociación de Hospitales del Estado de Washington se asegura de que sus miembros conozcan y tengan acceso al recurso y brindará oportunidades para que los miembros compartan experiencias con la herramienta. Slalom, nuestro socio consultor de diseño y desarrollo, también apoyará una amplia adopción a través de su equipo de Impacto Público y Social.

Mirar hacia el futuro     

El navegador de denegación de reclamaciones es solo el comienzo. RHAIL ya trabaja en futuras colaboraciones para desarrollar resiliencia, aumentar la viabilidad financiera y brindar acceso equitativo a atención médica de alta calidad para todas las comunidades.

En Microsoft, entendemos la importancia de la salud rural en las comunidades de todo Estados Unidos. A través de nuestro programa de Resiliencia de Salud Rural, estamos comprometidos a ayudarlos a prosperar.

Empoderen a su organización a través de herramientas de innovación y ciberseguridad de IA mientras exploran todas las ofertas de nuestro programa de Resiliencia de Salud Rural para organizaciones de salud rural.  

1 Oficina de Salud Rural de Pensilvania, 703 hospitales en riesgo de cierre, estado por estado.

2 Estrategias de salud rural para optimizar la revisión de la utilización y la gestión de denegaciones, febrero de 2025.

The post Una nueva herramienta de IA ayuda a los hospitales rurales a mejorar los ingresos financieros appeared first on Source LATAM.

 

​The post Una nueva herramienta de IA ayuda a los hospitales rurales a mejorar los ingresos financieros appeared first on Source LATAM.  

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Amazon Redshift auto-copy is now available in 4 additional AWS regions

Amazon Redshift auto-copy is now available in the AWS Asia Pacific (Malaysia), Asia Pacific (Thailand), Mexico (Central), and Asia Pacific (Taipei) regions. With Auto-Copy, you can set up continuous file ingestion from your Amazon S3 prefix and automatically load new files to tables in your Amazon Redshift data warehouse without the need for additional tools or custom solutions.

Previously, Amazon Redshift customers had to build their data pipelines using COPY commands to automate continuous loading of data from S3 to Amazon Redshift tables. With auto-copy, you can now setup an integration which will automatically detect and load new files in a specified S3 prefix to Redshift tables. The auto-copy jobs keep track of previously loaded files and exclude them from the ingestion process. You can monitor auto-copy jobs using system tables.

To learn more, see the documentation or check out the AWS Blog.

 

​Amazon Redshift auto-copy is now available in the AWS Asia Pacific (Malaysia), Asia Pacific (Thailand), Mexico (Central), and Asia Pacific (Taipei) regions. With Auto-Copy, you can set up continuous file ingestion from your Amazon S3 prefix and automatically load new files to tables in your Amazon Redshift data warehouse without the need for additional tools or custom solutions. Previously, Amazon Redshift customers had to build their data pipelines using COPY commands to automate continuous loading of data from S3 to Amazon Redshift tables. With auto-copy, you can now setup an integration which will automatically detect and load new files in a specified S3 prefix to Redshift tables. The auto-copy jobs keep track of previously loaded files and exclude them from the ingestion process. You can monitor auto-copy jobs using system tables. To learn more, see the documentation or check out the AWS Blog.  

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AWS Parallel Computing Service (PCS) now supports rotation of cluster secret keys

AWS Parallel Computing Service (PCS) now supports rotation of cluster secret keys using AWS Secrets Manager, enabling you to update the secure credentials used for authentication between Slurm controller and compute nodes without creating a new cluster. Regularly rotating your Slurm cluster secret keys strengthens your security posture by reducing the risk of credential compromise and ensuring compliance with best practices. This helps keep your HPC workloads and accounting data safe from unauthorized access.

PCS is a managed service that makes it easier to run and scale high performance computing (HPC) workloads on AWS using Slurm. With the support of cluster secret rotation in PCS, you can strengthen your security controls and maintain operational efficiency. You can now implement secret rotation as part of your security best practices while maintaining cluster continuity.

This feature is available in all AWS Regions where PCS is available. You can rotate cluster secrets using either the AWS Secrets Manager console or API after preparing your cluster for the rotation process. Read more about PCS support for cluster secret rotation in the PCS User Guide.

 

​AWS Parallel Computing Service (PCS) now supports rotation of cluster secret keys using AWS Secrets Manager, enabling you to update the secure credentials used for authentication between Slurm controller and compute nodes without creating a new cluster. Regularly rotating your Slurm cluster secret keys strengthens your security posture by reducing the risk of credential compromise and ensuring compliance with best practices. This helps keep your HPC workloads and accounting data safe from unauthorized access. PCS is a managed service that makes it easier to run and scale high performance computing (HPC) workloads on AWS using Slurm. With the support of cluster secret rotation in PCS, you can strengthen your security controls and maintain operational efficiency. You can now implement secret rotation as part of your security best practices while maintaining cluster continuity. This feature is available in all AWS Regions where PCS is available. You can rotate cluster secrets using either the AWS Secrets Manager console or API after preparing your cluster for the rotation process. Read more about PCS support for cluster secret rotation in the PCS User Guide.