Remove the friction that stands in the way of innovation

Achieve commercial and operational excellence with AWS technology that helps you accelerate innovation cycle times and market performance. With AWS, medical device organizations can bring products to market faster to address the unmet needs of patients, providers, and payors worldwide in a secure and compliant manner. Commercial deployers of medical devices can efficiently utilize device and patient data at scale to drive operational and clinical decisions.

Streamline innovation for medical device organizations with AWS (1:05)

90%

of top 10 global life sciences companies use AWS

130+

HIPAA-eligible services

500+

features and services focused on security and compliance

10,000

plus data lakes run on AWS

25

regions and 81 availability zones

200+

fully featured services from datacenters globally

Benefits

Accelerate product development

Realize the full potential of data by breaking down silos for maximum data liquidity across the entire medical device lifecycle, allowing for faster, more accurate and more complete product development.

Drive operational excellence

Gain end-to-end visibility into supply chains and automate workflows to drive more profitable growth. Scalable compute and machine learning (ML) services help streamline operations for greater business agility.

Deliver customer-centric devices

Bring the cloud closer to patient-centric, consumer-oriented devices and increase engagement with digital tools that utilize sophisticated personalization services to improve patient engagement, support, education and communications.

AWS Partners

Discover third-party solutions and a vast network of partners to help you accelerate your medical device development ifecycle. The AWS Marketplace has more than 100 healthcare-specific listings, while AWS Healthcare Competency Partners can help you build customized solutions on AWS.

Use cases

  • R&D engineering
  • New product development
  • Manufacturing & supply chain
  • Device commercialization
  • Connected patient post-market surveillance
  • R&D engineering
  • R&D engineering

    Push Research and Discovery (R&D) to the limits with powerful cloud computing and ML-based analyses that help you accelerate device development. Moving to the AWS Cloud allows you to unite R&D data with information across the medical device lifecycle, enabling greater collaboration on a global scale.

    R&D engineering

    Core products

    Customer references

    Ambra case study

    Ambra Uses AWS to Drive Global Expansion of Medical Imaging Platform

    Ambra Health used AWS to expand its SaaS medical imaging data platform to five new countries, meet strict data security requirements, and grow its domestic business. The company provides a SaaS platform for medical image sharing that is used by hospitals, medical groups, imaging centers, and health information exchanges.

    Read the case study »

    Butterfly Network case study

    Butterfly Network Brings Medical Imaging to More People in More Places Using AWS

    Butterfly iQ is one of the first handheld whole-body ultrasound systems. Using AWS, Butterfly is making medical imaging universally accessible and affordable, and providing a personalized experience for healthcare providers at a drastically lower cost.

    Read the case study »

    Aidoc case study

    Aidoc Brings Lifesaving AI Advancements to Medical Imaging on AWS

    Aidoc offers clinically proven, AI-based technology that analyzes medical imaging. It uses Amazon EC2 P3 instances to train ML models and execute inference processes, releasing new algorithms quarterly.

    Read the case study »

    Video: Disrupting Within: Driving Better Health with Philips & Dana-Farber Cancer Institute

    Watch the video »

    Case study: GE Healthcare Drives Better Outcomes With Machine Learning

    Read the case study »

    Blog: Galen Data on Building on the Shoulders of Giants

    Read the blog »
  • New product development
  • New product development

    Exchange data more efficiently and tap into a range of Internet of Things (IoT) resources to develop innovative devices. AWS makes it possible to deliver IoT-enabled technologies that require fast, secure data collection in the cloud.

    New product development

    Core products

    Customer references

    Arterys

    Arterys Renders MRI Scans in Ten Minutes or less Using AWS

    Arterys offers a medical imaging solution that enables radiologists and cardiologists to improve the process of diagnosing and staging cardiovascular disease in patients. The company is using AWS to render, analyze, and store multi-dimensional models of MRI scans each producing 5 to 10 GB of data. By using AWS, the company can render multi-dimensional models of the heart across all device types in 10 minutes or less instead of the 90-minute industry standard, and scale the platform to handle its growing storage needs.

    Read the case study »

    Propeller case study

    Propeller Health Leverages AWS to Help Patients Manage Respiratory Disease

    Propeller Health is a leading digital health company dedicated to the management of chronic respiratory disease. Propeller Health develops a digital health platform, Propeller, that improves outcomes for people with asthma and chronic obstructive pulmonary disease (COPD) and allows providers to monitor their patients remotely, stratify patients based on risk, and make data-driven decisions on treatment.

    Read the case study »

    Spectral MD case study

    Modernizing wound care with Spectral MD, powered by Amazon SageMaker

    Spectral MD, Inc. is a clinical research stage medical device company uses AWS to provide an impressive solution to wound care using cutting edge multispectral imaging and deep learning technologies.

    Read the case study »

    Blog: World Health Organization leverage AWS to launch COVID app

    Read the blog »

    Blog: Mission Critical Healthcare (Fix This podcast)

    Read the blog »

    Case Study: Radboud University builds Machine Learning solutions for medical imaging

    Read the case study »
  • Manufacturing & supply chain
  • Manufacturing & Supply Chain

    Gain greater visibility into regulated GMP manufacturing workflows by uniting data in an enterprise-grade data lake. Purpose-built ML services unlock meaningful insights so you can drive efficiencies and forecast demand. Facilitate a continuous approach to compliance by automating processes, rather than manually validating and monitoring systems.  Integrate your digital supply chain signals with logistics and distribution capabilities of Amazon, freeing you from logistics and supply chain worries, and allowing you to focus on your patients and clinicians.

    Manufacturing & Supply Chain

    Core products

    Customer references

    Aizon

    Bigfinite (Aizon) unlocks potential of life-sciences manufacturing data using AWS

    Bigfinite (now Aizon) provides simple products for analyzing complex industrial processes in the biotech and pharmaceutical industries. Using AWS, Aizon can store and analyze vast amounts of pharmaceutical-manufacturing data using advanced analytical techniques such as machine learning, artificial intelligence, and neural networks. The resulting real-time predictions and models solve a wide range of challenges.

    Read the case study »

    Novartis case study

    AWS and Novartis: Re-inventing pharma manufacturing

    Novartis is a large multinational medicines company, operating more than 60 manufacturing sites that produce therapeutics used by nearly 1 billion patients in 155 countries, annually. Through their collaboration, AWS and Novartis are jointly developing “Insight Centers” that provide real-time, interactive operational information to both site operators and corporate users around the globe.

    Read the blog »

    Moderna case study

    Moderna Therapeutics delivers mRNA drugs faster, at lower cost using AWS

    Biotech company Moderna Therapeutics, along with its partners, initiated clinical trials for seven drugs—with nine more in the pipeline—by taking advantage of AWS computing power, integration, and scalability. Moderna operates differently from both traditional pharmaceutical companies and biotech drug companies by delivering vaccines and therapies via messenger RNA.

    Read the case study »

    Merck

    Merck improves speed and reduces manual effort to assess change proposals up to 70% on AWS

    Merck used Amazon Web Services (AWS) to build the Change Assessment Knowledge Engine (CAKE). CAKE is powered by an Amazon Neptune graph database containing information about Merck’s supply chain and regulatory operating environment. CAKE reduced change assessment duration by up to 90 percent and total manual effort per assessment by 30–70 percent.

    Read the article »

    Amgen_167x23

    How Amgen migrated SAP applications to AWS while maintaining compliance

    Learn how Amgen implemented SAP to comply with Good Manufacturing Practices (GMP), how to avoid unexpected challenges with upgrades, and best practice approaches when migrating SAP environment to AWS.

    Watch the video »

    logo_bristol-myers-squibb

    Bristol Myers Squibb’s flawless migration from SAP ECC to S/4HANA on AWS

    Bristol Myers Squibb selected SAP S/4HANA ® on Amazon Web Services (AWS), creating the foundation to drive future innovations and new capabilities. As one of the system’s earliest adopters, BMS now has one of the world’s largest, most modern and simplified conversions of SAP S/4HANA on the  cloud, supporting critical functions in manufacturing, supply chain, finance, order-to-cash and procurement.

    Read the blog »

    Whitepaper: Modernizing Life Science Manufacturing: How analytics, IoT and the cloud are rewriting drug production

    Read the whitepaper »

    Solution brief: Modernizing Life Science Manufacturing Using AWS Services

    Read the solution brief »

    Webinar: Modernizing pharmaceutical manufacturing with IoT and AI/ML

    Watch the webinar »
  • Device commercialization
  • Device commercialization

    Drive a more successful new product launch launch with democratized data access that enables greater collaboration between departments. Equip your medical device salesforce with ML-based insights that leverage insurance claims data to pinpoint valuable leads.   

    Device commercialization

    Core products

    Customer references

    Med Life

    Medlife uses AWS to efficiently manage containers and SMS

    By running on AWS, Bajaj Capital, a provider of financial services, has reduced its IT costs by 97 percent. The group offers a round-the-clock mutual fund updates where portfolio transactions are stored in Amazon S3 and processed using Amazon EMR.

    Read the case study » 

    Allergan case study

    Allergan case study

    Allergan easily supports 10 percent annual business growth and launches new websites and online campaigns in one day instead of several weeks using AWS. Allergan is a global pharmaceutical firm that creates and markets brands to consumers throughout the world.

    Read the case study » 

    Webinar: Personalizing patient engagement with AWS Cloud

    Watch the webinar »

    Blog: Real-time personalization and recommendation for everyone

    Read the blog »

    Webinar: Building immersive experiences with Amazon Pinpoint Journeys

    Watch the webinar »
  • Connected patient post-market surveillance
  • Connected patient post-market surveillance

    Run more efficient real-world evidence collection and management with AWS services that scale to handle high volumes of adverse event reports. By leveraging analytics and IoT tools, AWS makes it easier to derive valuable insights associated with post-market surveillance and improving patient support.

    Connected patient post-market surveillance

    Core products

    Customer references

    Takeda case study

    Patient-focused data science at Takeda: Insights about machine learning for complex diseases

    Learn how Takeda researchers built and trained their own disease-specific ML models, including deep-learning models using Deloitte ConvergeHEALTH running on AWS to simulate and quantify the overall disease burden and identify potential risks.

    Watch the video »

    Omada

    Omada Health reduces diabetes risk with prevention program built on AWS

    Omada Health built a digital version of a proven diabetes-prevention program on AWS, enabling it to scale cost-effectively and achieve clinically significant results. Omada Health helps people change their habits, improve their health, and reduce their risk of chronic disease through intensive behavioral-change programs that are clinically supported and evidence-based.

    Read the case study »

    Amgen

    Transforming healthcare with AI

    Learn how Amgen uses AWS automatic speech recognition and natural language processing services to build safety event analysis and reporting systems. From clinical documentation workflow and pharmacovigilance to telemedicine and revenue cycle management, AI services are driving changes that not only enhance Healthcare professionals’ efficiencies, but also improve the overall quality of patient care.

    Watch the video »

    Blog: Delivering modern, accessible virtual healthcare solutions with the cloud

    Read the blog »

    Blog: Improving patient care with Amazon Comprehend Medical at the Vancouver General Hospital

    Read the blog »

    University of Washington Medicine: Virtual Assistant screens symptoms to guide care

    Read the article »
Compliance for medical devices

Compliance in medical devices

Gain more control over your IT environments, achieve enhanced testing and traceability, and respond faster to audits with a variety of AWS services that help you automate compliance.

Learn more about medical device compliance with AWS »

Get Started with AWS

Get Started

Leading healthcare providers are already using AWS. Contact our experts and start your own AWS Cloud journey today.
Subscribe to the AWS Healthcare newsletter
Get the latest AWS Healthcare updates delivered directly to your inbox.
Subscribe now »