Let’s Architect! Architecting in health tech
AWS Architecture BlogLet’s Architect! Architecting in health techby Luca Mezzalira, Laura Hyatt, Vittorio Denti, and Zamira Jaupaj | on05 OCT 2022| inAmazon AppStream 2.0,Amazon Quantum Ledger Database (Amazon QLDB),Architecture,AWS CloudFormation|Permalink|ShareHealthcare 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 CloudThis 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 includesAWS CloudFormation templatesthat are customizable, plus automatically deploy the environment and configure AWS resources.Using AppStream 2.0 to Deliver PACS and Image Analysis in Clinical TrialsAmazon AppStream 2.0is 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. ThisArchitecture Blogpost 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.How fEMR Delivers Cryptographically Secure and Verifiable Medical Data with Amazon QLDBData 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 ofAmazon 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 aboutthe mental models adopted in this use case.Service Workbench on AWSService 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.Other posts in this seriesLet’s Architect! Architecting with custom chips and acceleratorsLet’s Architect! Modern data architecturesLet’s Architect! Architecting for the edgeLet’s Architect! Architecting for SustainabilityLet’s Architect! Architecting for Machine LearningLet’s Architect! Architecting for SecurityLet’s Architect! Tools for Cloud ArchitectsLet’s Architect! Architecting for BlockchainLet’s Architect! Architecting microservices with containersLet’s Architect! Using open-source technologies on AWSLet’s Architect! Serverless architecture on AWSLet’s Architect! Creating resilient architectureLet’s Architect! Architecting for governance and managementLet’s Architect! Architecting for front endLet’s Architect! Understanding the build versus buy dilemmaLet’s Architect! Architecting for DevOpsLet’s Architect! Designing Well-Architected systemsLet’s Architect! Architecting for big data workloadsLooking for more architecture content?AWS Architecture Centerprovides reference architecture diagrams, vetted architecture solutions, Well-Architected best practices, patterns, icons, and more!TAGS:digital healthcare,health tech,healthcare,healthcare data,healthcare technology,Let's ArchitectLuca MezzaliraLuca is Principal Solutions Architect based in London. He has authored several books and is an international speaker. He lent his expertise predominantly in the solution architecture field. Luca has gained accolades for revolutionizing the scalability of front-end architectures with micro-frontends, from increasing the efficiency of workflows, to delivering quality in products.Laura HyattLaura Hyatt is a Solutions Architect for AWS Public Sector and helps Education customers in the UK. Laura helps customers not only architect and develop scalable solutions but also think big on innovative solutions facing the education sector at present. Laura's specialty is IoT, and she is also the Alexa SME for Education across EMEA.Vittorio DentiVittorio Denti is a Machine Learning Engineer at Amazon based in London. After completing his M.Sc. in Computer Science and Engineering at Politecnico di Milano (Milan) and the KTH Royal Institute of Technology (Stockholm), he joined AWS. Vittorio has a background in distributed systems and machine learning. He's especially passionate about software engineering and the latest innovations in machine learning science.Zamira JaupajZamira is an Enterprise Solutions Architect based in the Netherlands. She is highly passionate IT professional with over 10 years of multi-national experience in designing and implementing critical and complex solutions with containers, serverless, and data analytics for small and enterprise companies.
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 […]
Luca Mezzalira
Amazon AppStream 2.0 Amazon Quantum Ledger Database (Amazon QLDB) Architecture AWS CloudFormation