• Categoría: Noticias de Microsoft

octubre 22, 2025

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

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.

Etiquetas:

• IA
• Salud
• Tecnología

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 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.  

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.  

Amazon CloudWatch agent has added support for configurable Windows Event log filters. This new feature allows customers to selectively collect and send system and application events to CloudWatch from Windows hosts running on Amazon EC2 or on-premises. The addition of customizable filters helps customers to focus on events that meet specific criteria, streamlining log management and analysis.

Using this new functionality of the CloudWatch agent, you can define filter criteria for each Windows Event log stream in the agent configuration file. The filtering options include event levels, event IDs, and regular expressions to either «include» or «exclude» text within events. The agent evaluates each log event against your defined filter criteria to determine whether it should be sent to CloudWatch. Events that don’t match your criteria are discarded. Windows event filters help you to manage your log ingestion by processing only the events you need, such as those containing specific error codes, while excluding verbose or unwanted log entries.

Amazon CloudWatch Agent is available in all commercial AWS Regions, and the AWS GovCloud (US) Regions.

To get started, see Create or Edit the CloudWatch Agent Configuration File in the Amazon CloudWatch User Guide.

​Amazon CloudWatch agent has added support for configurable Windows Event log filters. This new feature allows customers to selectively collect and send system and application events to CloudWatch from Windows hosts running on Amazon EC2 or on-premises. The addition of customizable filters helps customers to focus on events that meet specific criteria, streamlining log management and analysis. Using this new functionality of the CloudWatch agent, you can define filter criteria for each Windows Event log stream in the agent configuration file. The filtering options include event levels, event IDs, and regular expressions to either «include» or «exclude» text within events. The agent evaluates each log event against your defined filter criteria to determine whether it should be sent to CloudWatch. Events that don’t match your criteria are discarded. Windows event filters help you to manage your log ingestion by processing only the events you need, such as those containing specific error codes, while excluding verbose or unwanted log entries. Amazon CloudWatch Agent is available in all commercial AWS Regions, and the AWS GovCloud (US) Regions. To get started, see Create or Edit the CloudWatch Agent Configuration File in the Amazon CloudWatch User Guide.  

Amazon S3 adds AWS CloudTrail events for table maintenance activities in Amazon S3 Tables. You can now use AWS CloudTrail to track compaction and snapshot expiration operations performed by S3 Tables on your tables.

S3 Tables automatically performs maintenance to optimize query performance and lower costs of your tables stored in S3 table buckets. You can monitor and audit S3 Tables maintenance activities such as compaction and snapshot expiration as management events in AWS CloudTrail. To get started with monitoring, create a trail in the AWS CloudTrail console and filter for ‘AwsServiceEvents’ as the eventType and ‘TablesMaintenanceEvent’ as the eventName.

AWS CloudTrail events for S3 Tables maintenance are now available in all AWS Regions where S3 Tables are available. To learn more, visit Amazon S3 Tables product page and documentation.

​Amazon S3 adds AWS CloudTrail events for table maintenance activities in Amazon S3 Tables. You can now use AWS CloudTrail to track compaction and snapshot expiration operations performed by S3 Tables on your tables. S3 Tables automatically performs maintenance to optimize query performance and lower costs of your tables stored in S3 table buckets. You can monitor and audit S3 Tables maintenance activities such as compaction and snapshot expiration as management events in AWS CloudTrail. To get started with monitoring, create a trail in the AWS CloudTrail console and filter for ‘AwsServiceEvents’ as the eventType and ‘TablesMaintenanceEvent’ as the eventName. AWS CloudTrail events for S3 Tables maintenance are now available in all AWS Regions where S3 Tables are available. To learn more, visit Amazon S3 Tables product page and documentation.  

Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codecs, enabling you to generate structured insights across a broader range of video content. Additionally, BDA delivers up to 50% faster image processing.

BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With support for AVI, MKV, and WEBM formats, you can now analyze content from archival footage, high-quality video archives with multiple audio tracks and subtitles, and web-based and open-source video content. This expanded video format and codec support enables you to process video content directly in the formats your organization uses, streamlining your workflows and accelerating time-to-insight. With faster image processing on BDA, you you can extract insights from visual content faster than ever before. You can now analyze larger volumes of images in less time, helping you scale your AI applications and deliver value to your customers more quickly.

Amazon Bedrock Data Automation is available in 8 AWS regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Sydney), US West (Oregon) and US East (N. Virginia), and GovCloud (US-West) AWS Regions.

To learn more, see the Bedrock Data Automation User Guide and the Amazon Bedrock Pricing page. To get started with using Bedrock Data Automation, visit the Amazon Bedrock console.

​Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codecs, enabling you to generate structured insights across a broader range of video content. Additionally, BDA delivers up to 50% faster image processing. BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With support for AVI, MKV, and WEBM formats, you can now analyze content from archival footage, high-quality video archives with multiple audio tracks and subtitles, and web-based and open-source video content. This expanded video format and codec support enables you to process video content directly in the formats your organization uses, streamlining your workflows and accelerating time-to-insight. With faster image processing on BDA, you you can extract insights from visual content faster than ever before. You can now analyze larger volumes of images in less time, helping you scale your AI applications and deliver value to your customers more quickly. Amazon Bedrock Data Automation is available in 8 AWS regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Sydney), US West (Oregon) and US East (N. Virginia), and GovCloud (US-West) AWS Regions. To learn more, see the Bedrock Data Automation User Guide and the Amazon Bedrock Pricing page. To get started with using Bedrock Data Automation, visit the Amazon Bedrock console.  

Amazon Nova models now support the customization of content moderation settings for approved business use cases that require processing or generating sensitive content.

Organizations with approved business use cases can adjust content moderation settings across four domains: safety, sensitive content, fairness, and security. These settings allow customers to adjust specific settings relevant to their business requirements. Amazon Nova enforces essential, non-configurable controls to ensure responsible use of AI, such as controls to prevent harm to children and preserve privacy.

Customization of content moderation settings is available for Amazon Nova Lite and Amazon Nova Pro in the US East (N. Virginia) region.

To learn more about Amazon Nova, visit the Amazon Nova product page and to learn about Amazon Nova responsible use of AI, visit the AWS AI Service Cards, or see the User Guide. To see if your business model is appropriate to customize content moderation settings, contact your AWS Account Manager.

​Amazon Nova models now support the customization of content moderation settings for approved business use cases that require processing or generating sensitive content. Organizations with approved business use cases can adjust content moderation settings across four domains: safety, sensitive content, fairness, and security. These settings allow customers to adjust specific settings relevant to their business requirements. Amazon Nova enforces essential, non-configurable controls to ensure responsible use of AI, such as controls to prevent harm to children and preserve privacy. Customization of content moderation settings is available for Amazon Nova Lite and Amazon Nova Pro in the US East (N. Virginia) region. To learn more about Amazon Nova, visit the Amazon Nova product page and to learn about Amazon Nova responsible use of AI, visit the AWS AI Service Cards, or see the User Guide. To see if your business model is appropriate to customize content moderation settings, contact your AWS Account Manager.  

AWS Nitro Enclaves is an Amazon EC2 capability that enables customers to create isolated compute environments (enclaves) to further protect and securely process highly sensitive data within their EC2 instances. Nitro Enclaves helps customers reduce the attack surface area for their most sensitive data processing applications.

There is no additional cost other than the cost for the using Amazon EC2 instances and any other AWS services that are used with Nitro Enclaves.

Nitro Enclaves is now available across all AWS Regions, expanding to include new regions in Asia Pacific (New Zealand, Thailand, Jakarta, Hyderabad, Malaysia, Melbourne, and Taipei), Europe (Spain and Zurich), Middle East (UAE and Tel Aviv), and North America (Central Mexico and Calgary).

To learn more about AWS Nitro Enclaves and how to get started, visit the AWS Nitro Enclaves page.

​AWS Nitro Enclaves is an Amazon EC2 capability that enables customers to create isolated compute environments (enclaves) to further protect and securely process highly sensitive data within their EC2 instances. Nitro Enclaves helps customers reduce the attack surface area for their most sensitive data processing applications. There is no additional cost other than the cost for the using Amazon EC2 instances and any other AWS services that are used with Nitro Enclaves. Nitro Enclaves is now available across all AWS Regions, expanding to include new regions in Asia Pacific (New Zealand, Thailand, Jakarta, Hyderabad, Malaysia, Melbourne, and Taipei), Europe (Spain and Zurich), Middle East (UAE and Tel Aviv), and North America (Central Mexico and Calgary). To learn more about AWS Nitro Enclaves and how to get started, visit the AWS Nitro Enclaves page.  

Amazon Connect can now automatically initiate follow-up evaluations to analyze specific situations identified during initial evaluations. For example, when an initial customer service evaluation detects customer interest in a product, Amazon Connect can automatically trigger a follow-up evaluation focused on the agent’s sales performance. This enables managers to maintain consistent evaluation standards across agent cohorts and over time, while capturing deeper insights on specific scenarios such as sales opportunities, escalations, and other critical interaction moments.

This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage. 

​Amazon Connect can now automatically initiate follow-up evaluations to analyze specific situations identified during initial evaluations. For example, when an initial customer service evaluation detects customer interest in a product, Amazon Connect can automatically trigger a follow-up evaluation focused on the agent’s sales performance. This enables managers to maintain consistent evaluation standards across agent cohorts and over time, while capturing deeper insights on specific scenarios such as sales opportunities, escalations, and other critical interaction moments. This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage.   

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for SQL Server database engine. CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next.

Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes.

You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your RDS for SQL Server databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines and instance classes. 

​Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for SQL Server database engine. CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your RDS for SQL Server databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines and instance classes.