AWS Clinical Systems solutions

A robust and efficient clinical system is crucial for patient-focused care. By leveraging AWS and ATG solutions, healthcare organizations have the opportunity to upgrade their clinical systems. This modernization effort significantly reduces administrative tasks for clinicians, enabling them to concentrate on providing superior patient experiences.

AWS Analytics and AI/ML solutions

AWS empowers healthcare organizations to seamlessly implement analytics and machine learning (ML) tools, unlocking valuable insights from their health data. Utilizing AWS’s specialized AI services for vision, transcription, natural language processing, and document understanding, along with its extensive machine learning platform, organizations can leverage analytics and ML to tackle various challenges in the health industry. This includes enhancing patient outcomes and minimizing physician burnout.

AWS Medical Research solutions

AWS enables researchers to swiftly process extensive data pipelines, archive data in the petabyte range, and propel research forward with cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and quantum computing. This allows researchers to distribute their findings with global collaborators, ultimately enhancing patient outcomes.

AWS Finance and Operations solutions

Enterprise Resource Planning (ERP) and related business system solutions are instrumental for healthcare organizations in overseeing essential functions like accounting, marketing, finance, inventory, and human resources. AWS and its partners offer these organizations easy and quick access to cloud computing resources, enabling them to efficiently manage the complete healthcare revenue cycle.

AWS Landing Zone Accelerator (LZA) for Healthcare

The AWS Landing Zone Accelerator (LZA) for Healthcare is an industry-specific solution designed to align with AWS best practices and multiple global compliance frameworks. This no-code solution integrates over 35 AWS services to manage and govern a multi-account environment, ideal for highly-regulated workloads and complex compliance requirements. With LZA, healthcare organizations can streamline their compliance efforts and leverage AWS’s powerful cloud capabilities to drive efficiency and innovation.

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AWS Elastic Disaster Recovery

AWS Elastic Disaster Recovery (DRS) for Healthcare ensures rapid recovery of critical healthcare applications and data in the event of a disruption. This service offers automated, cost-effective disaster recovery for both on-premises and cloud-based environments, meeting stringent healthcare compliance requirements.

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Epic on AWS

Healthcare organizations can leverage AWS to deploy Epic workloads, whether as a comprehensive, all-in-one solution or through an incremental, hybrid approach. Epic on AWS allows the deployment of core EHR environments, including test, development, training, disaster recovery, and production environments. AWS ensures high availability, business continuity, and scalable, resilient operations across multiple availability zones and regions. Collaborate with AWS and Epic to optimize your healthcare systems with best practice architecture and operations.

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Data &
Security

Use Case: Secure Patient Data Management and Analytics Platform 

• Data Storage and Management:
  • Amazon S3: Use Amazon Simple Storage Service (S3) for scalable and secure object storage. S3 can store vast amounts of structured and unstructured data, such as medical records, imaging files, and lab results.
  • Amazon RDS: Deploy Amazon Relational Database Service (RDS) for managed relational databases to store structured data such as patient records, appointment schedules, and billing information, with automated backups, encryption, and compliance capabilities.
• Security and Compliance:
  • AWS Identity and Access Management (IAM): Configure IAM to control access to AWS services and resources securely, ensuring that only authorized personnel can access sensitive patient data.
  • Amazon Cognito: Implement Amazon Cognito for secure user authentication and access control in healthcare applications, enhancing patient data protection.
  • AWS Key Management Service (KMS): Use AWS KMS for centralized management of cryptographic keys used to encrypt data at rest and in transit, ensuring data security and compliance with healthcare regulations.
• Interoperability and Patient Engagement:
  • Amazon HealthLake: Leverage Amazon HealthLake to store, transform, and analyze health data in the cloud, following the FHIR (Fast Healthcare Interoperability Resources) standard, facilitating better interoperability and patient engagement through secure data exchange.

Telemedicine Support

Use Case: Telemedicine Platform Deployment on AWS

• Amazon EC2 & Auto Scaling: For hosting the telemedicine application, ensuring it can scale automatically to accommodate varying loads, especially during peak usage times.
• Amazon S3 and Amazon Glacier: For cost-effective storage and archiving of patient data, including medical records, images, and consultation recordings, with robust data encryption and security measures to ensure compliance with healthcare regulations.
• Amazon RDS / Amazon Aurora: To manage patient data, including personal information, health records, and consultation notes, ensuring high availability, data security, and seamless integration with existing EHR systems.
• AWS Lambda and Amazon API Gateway: For serverless computing needs, allowing the healthcare provider to run code in response to events (such as appointment bookings or alerts from wearable devices) without managing servers, and to create, publish, maintain, monitor, and secure APIs at any scale.
• Amazon Chime SDK: Integration into the telemedicine application to provide secure, scalable, and easy-to-use video conferencing services directly within the healthcare application, facilitating real-time doctor-patient consultations.
• AWS Identity and Access Management (IAM) & AWS Key Management Service (KMS): To manage access to AWS services and resources securely, ensuring that only authorized users can access sensitive patient data, and to manage encryption keys used to secure data.
• AWS Shield & AWS WAF: To protect the telemedicine platform from web exploits and DDoS attacks, ensuring that the service remains available and secure for users.

Research & Development

Use Case: Accelerate R&D processes for new drug discovery, clinical trials, and genomic sequencing.

• AWS and Amazon Transcribe Genomics (ATG) were employed to facilitate genomics research. ATG provided scalable and secure genomic analysis capabilities, allowing researchers to process and analyze genomic sequences efficiently.
• AI/ML on AWS for Health R&D: The company leveraged Amazon SageMaker to build, train, and deploy machine learning models for drug discovery and to predict clinical trial outcomes. AWS’s vast array of AI/ML services enabled the rapid development of predictive models, significantly reducing the time and cost associated with traditional R&D processes.
• Secure Data in Cloud: Utilizing AWS’s comprehensive security features, including encryption, identity and access management (IAM), and compliance certifications, the company ensured that all R&D data remained secure and compliant with global healthcare regulations such as HIPAA and GDPR.
• Disaster Recovery (DR) and Business Continuity (BC): AWS’s global infrastructure provided robust DR and BC capabilities. The company implemented Amazon S3 and Amazon Glacier for data backup, Amazon Route 53 for DNS failover, and AWS CloudFormation for quick infrastructure redeployment, ensuring minimal downtime and continuous R&D operations.