Redox has launched a new Amazon HealthLake Connector to help providers, digital health and life science vendors, payers, and pharmaceutical companies derive new insights from their health data.
Furthermore, Redox has announced its support for the Amazon Web Services for Health Initiative, which promotes innovation in healthcare and the exchange of health data efficiently.

AWS for Health offers services and projects by Amazon Web Services (AWS) and strategic partners, tailored specifically to healthcare, biopharma, and genomics customers. Through the initiative, organizations can scale more efficiently across the health community.

Devin Soelberg, VP of Strategic Partnerships at Redox, said, “One of the most meaningful trends in healthcare is the application of big data analytics to the mountains of medical data across the industry. Amazon HealthLake can help provide uncover insights that make diagnosis more accurate, innovators more efficient, and patients healthier. Redox is pleased to work with AWS to accelerate the adoption of machine learning and AI in healthcare.”

A HIPAA-compliant service, Amazon HealthLake ingests, stores, queries, and analyzes health data at scale for healthcare and life sciences organizations. Amazon HealthLake uses machine learning (ML) to understand and extract meaningful information from unstructured data and then organizes, indexes, and stores it chronologically. Amazon HealthLake Connector requires that companies whose healthcare data is not yet FHIR® R4 compliant, have it transformed into FHIR® and then transported to Amazon HealthLake.

Dr. Taha Kass-Hout, Director of Machine Learning at AWS, commented, “Healthcare and life sciences organizations are looking to use health data effectively to enable more personalized health care by revealing relationships in data and discovering trends. However, making this a reality is often hindered by cost and complexity. With Redox as an Amazon HealthLake Connector Partner, customers who do not already have data in the FHIR format can leverage their new offering to translate legacy clinical data e.g., HL7, CSV, CCA, and move it to Amazon HealthLake as standardized FHIR records. Amazon HealthLake further structures the data and enables customers to easily use Amazon SageMaker machine learning ML models and Amazon QuickSight analytics, making it seamless for researchers and practitioners to collaborate, discover health trends, and deliver better care for patients.”