• Do you need help with on-premises infrastructure and isolated data?
• Do your use cases involve challenging data types for your current setup?
• Are managing patients and healthcare data becoming costly with increasing volumes?
• Do you need real-time data for better business and care outcomes?

The Impetus Modern Healthcare Data Platform Accelerator is a comprehensive solution tailored for modern healthcare organizations. With a cloud-first architecture and AI/ML services support, it modernizes storage, data processing, and analytics, enabling real-time patient care insights for more efficient responses.

Execution in three phases:

• Assessment: Evaluates existing systems and challenges specific to the client use case
• Deployment: Leverages the Healthcare Data Platform Accelerator to address the specified use case
• Customizations: Provides further extension or customization as required

It also ensures compliance with healthcare regulations like HIPAA and GDPR and allows regional cloud infrastructure for data governance. This solution acts as an accelerator, helping you establish a secure, compliant, and cloud-centric architecture within your control, seamlessly integrating with native AWS services for infrastructure health monitoring.

Key features:

• Single source of truth: Ingests and stores diverse health data types, including clinical notes, lab reports, medical images, and more, in a unified storage layer that acts as the single source of truth.
• Diverse platform support: Processes structured and unstructured data from various sources.
• Interoperability: Ingests structured data in industry-standard healthcare messaging formats like HL7 v2 and FHIR.
• Ingestion support: Enables real-time data ingestion from sources like EHR/EMR systems and medical devices. The solution supports various data ingestion strategies, including real-time, on-premises connectivity, API-driven ingestion, and unstructured file uploads.
• Security and compliance: Securely stores structured data in the widely accepted FHIR R4 format while ensuring HIPAA compliance.
• API-driven workflows: Exposes microservices to manage healthcare information in a standardized format and connect with different clients, including web and mobile.
• Analytics support: Designs and runs custom analytics pipelines at scale for insightful patient care.
• Machine learning support: Utilizes custom machine learning to understand patient treatment and enhance care quality.