Amazon HealthLake is a new, HIPAA-eligible service designed to store, transform, query, and analyze health data at scale. You can bring your healthcare data into Amazon HealthLake using Fast Healthcare Interoperability Resources (FHIR) R4 APIs. If you don’t have your data in FHIR R4, Amazon has collaborated with industry experts to build Amazon HealthLake connectors to help you with custom file and HL7 to FHIR R4 mappings. This post highlights one of those partners, Redox, and their Amazon HealthLake Connector.
Developers at over 300 companies use the Redox platform to exchange data with more than 1,700 healthcare provider organizations. The Redox API provides read and write access to more than 80 electronic health record (EHR) vendor systems. The Redox dashboard provides a unified console for managing integrations and troubleshooting message errors across all connections. Members of the Redox Network exchange more than 20 million patient records per day, using a single data standard compatible with more than 140 EHR systems, Health Information Exchanges (HIE), and public health departments. Redox is vendor (EHR/PMS/LIS) and standards agnostic, allowing you to read, write, and query healthcare data with any partner. All data exchanged is translated into a consistent canonical format for you to uniformly consume.
Redox Amazon HealthLake Connector
The Redox Amazon HealthLake Connector populates your Amazon HealthLake instance with your legacy data sources. Redox’s primary objective is to help you gather meaningful data in Amazon HealthLake as quickly and as frictionless as possible. Redox supports all major healthcare data standards, including but not limited to HL7v2, CDA, X12, FHIR, and vendor APIs. Additionally, Redox supports the following communication methods: web services, MLLP, SFTP, XDR, XDS.b, SOAP, and SAML. Redox normalizes the data in real time and aggregates the connectivity channel so that you can receive all the data from all data sources in a single, clean, and curated feed. Redox also supports bi-directional data to help organizations write the Amazon HealthLake insights back into an EHR system. The following diagram illustrates how it works.
Moving data to Amazon HealthLake and applying machine learning (ML) and analytics provides the following to health organizations:
- Better population health management – Organizations can analyze population health trends, outcomes, and costs to identify the most appropriate intervention for a patient population with pre-trained ML algorithms
- Improved quality of patient care – Organizations can close gaps in care, improve quality, and reduce cost by bringing together a complete view of a patient’s medical history
- Optimized hospital efficiency – Informed by thousands of data p
Source - Continue Reading: https://aws.amazon.com/blogs/machine-learning/get-started-with-the-redox-amazon-healthlake-connector/