Tag: Amazon HealthLake

The Centers for Medicare & Medicaid Services (CMS) recently enabled states to extend Medicaid coverage to eligible incarcerated individuals, with hopes of ensuring continuity of care upon release, reducing the risk of relapse, and encouraging better health management. To help states begin benefitting from this new CMS policy, Amazon Web Services (AWS) offers a suite of data storage, telehealth, analytics, and reentry services. In this post, we break down four specific areas where AWS services—and AWS Partners—can help.

In this post, we explore the complexities of data privacy and controls on Amazon Web Services (AWS), examine how creating a landing zone within which to contain such data is important, and highlight the differences between creating a landing zone from scratch compared with using the AWS Landing Zone Accelerator (LZA) for Healthcare. To aid explanation, we use a simple healthcare workload as an example. We also explain how LZA for Healthcare codifies HIPAA controls and AWS Security Best Practices to accelerate the creation of an environment to run protective health information workloads in AWS.

As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.

Rush University Medical Center embraced cloud transformation for internal operations and organizational needs as well as in response to the COVID-19 pandemic. The Rush analytics team worked with the city of Chicago department of public health to create a working reference implementation of a cloud-based public health analytics hub. This hub aggregates, combines, and analyzes multi-hospital data related to patient admissions, discharges and transfers, electronic lab reporting, hospital capacity, and clinical care documents of COVID-19 patients receiving care in and across Chicago hospitals.