Tag Archives: Amazon Quantum Ledger Database (Amazon QLDB)

Let’s Architect! Architecting in health tech

Post Syndicated from Luca Mezzalira original https://aws.amazon.com/blogs/architecture/lets-architect-architecting-in-health-tech/

Healthcare technology, commonly referred to as “health tech,” is the use of technologies developed for the purpose of improving any and all aspects of the healthcare system. For example, IT tools or software designed to boost hospital/administrative productivity, give insights into new and existing treatments, or improve the overall quality of care.

Also known as “digital health”, health tech uses databases, applications, mobile devices, and wearables to facilitate the delivery, payment, and/or consumption of healthcare. The increased accessibility to these technologies can further increase the development and launch of additional healthcare products.

In this post, we explore how to build and manage health tech architectures using Amazon Web Services (AWS).

HIPAA Reference Architecture on the AWS Cloud

This Quick Start provides guidance for deploying a U.S. Health Insurance Portability and Accountability Act (HIPAA) architecture on the AWS Cloud. Specifically, this aims to help those in the healthcare industry build and implement HIPAA-ready environments that fit with an organization’s larger HIPAA compliance program. It includes AWS CloudFormation templates that are customizable, plus automatically deploy the environment and configure AWS resources.

HIPAA Reference Architecture on the AWS Cloud

Using AppStream 2.0 to Deliver PACS and Image Analysis in Clinical Trials

Amazon AppStream 2.0 is a fully managed, non-persistent desktop and application service for remotely accessing your work. This means that clinical staff can now access the medical applications and data they need from anywhere. Benefits of using AppStream 2.0 include reduced overhead cost. This Architecture Blog post examines how to construct the AWS architecture for an image analysis application used in clinical trials, while keeping cost down. Furthermore, it demonstrates how something seemingly complex can be built with ease using both AWS services and image analysis applications already in place.

Using AppStream 2.0 to Deliver PACS and Image Analysis in Clinical Trials

How fEMR Delivers Cryptographically Secure and Verifiable Medical Data with Amazon QLDB

Data veracity is fundamental. Patient data is confidential, and when a system deals with sensitive data, there needs to be a clear chain of ownership.

This blog post depicts an architecture based on the use of Amazon Quantum Ledger Database (Amazon QLDB), which addresses the need for data integrity and verifiability in healthcare. By using Amazon QLDB, the team can take advantage of an append-only journal to create a verifiable electronic medical record.

Also explored are the challenges architects face while working on these types of systems, as well as considerations about security, operational efficiency, processes for repeatable deployments using infrastructure as code, and data replication across multiple databases. The design choices architects make when developing a system depend on the context; read more about the mental models adopted in this use case.

How fEMR Delivers Cryptographically Secure and Verifiable Medical Data with Amazon QLDB

Service Workbench on AWS

Service Workbench on AWS is a cloud solution that enables IT teams to provide secure, repeatable, and federated control of access to data, tooling, and compute power. Service Workbench can help redirect researchers’ focus from technical duties back to the research itself, by allowing them to automate of the creation of baseline research setups and providing data access. It gives researchers the ability to build research environments in minutes without having to know about cloud infrastructure or wait for research IT to respond. It is fully HIPAA-compliant and allows for secure peer-to-peer collaboration, including with individuals from other institutions.

See you next time!

Thanks for joining our discussion on health tech architectures! See you in two weeks for more architecture best practices and guidance.

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