Healthcare & Life Science Case Studies
3M Health Information Systems case study
By going all in on AWS, 3M Health Information Systems (HIS) provisions compute resources in minutes instead of weeks, develops and deploys software in one week instead of six, and innovates faster. 3M HIS enables customers to efficiently document, code, classify, store, and measure healthcare delivery with integrated software and services, enabling complete, compliant, and accurate payments. 3M HIS customers also analyze the total cost, quality, and outcomes for patients and populations, using 3M data-analytics applications. 3M HIS runs several advanced applications on AWS.
Ascension & PokitDok case study
Using AWS, Ascension and partner PokitDok provide customers with real-time cost estimates for their healthcare needs, and were able to create and deploy the application within a matter of weeks. Ascension is a nonprofit healthcare organization in the United States, providing more than $1.8 billion for care of persons living in poverty and other community-benefit programs. PokitDok is a cloud-based healthcare API platform. Together, both companies rely on AWS to quickly launch new products and bring them to scale without the worry of downtime.
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. The organization runs more than 400 product websites and marketing applications on AWS. The top 10 percent of Allergan’s AWS-hosted websites—by visitor volume—are built in Sitecore CMS.
Avizia case study
By adopting the AWS Cloud, Avizia ensures its telehealth solution is compliant with regulations and delivers high performance and availability to more than 400 healthcare customers. The company is a global telemedicine provider with a cloud-based platform that provides business intelligence, medical workflow, and secure collaboration tools through web applications, mobile apps, and connected hardware. Avizia deploys Amazon RDS for PostgreSQL as its relational database engine to provide the redundancy the company needs to serve customers around the world.
Arterys case study
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.
Babylon case study
Founded in 2013, Babylon is a subscription health service provider that enables users to have virtual consultations with doctors and health care professionals via text and video messaging through its mobile application. Watch Dr. Ali Parsa, CEO and founder at Babylon, discuss how AWS allows the company to innovate with artificial intelligence and scale globally.
Baylor College of Medicine case study
The Baylor College of Medicine is a leading contributor to the CHARGE Project, a group of more than 200 scientists who are working to identify genes that contribute to aging and heart disease. Baylor’s collaboration with the CHARGE researchers required a secure, scalable genomic analysis platform. By using AWS, CHARGE can analyze genome sequences 5 times faster than with traditional infrastructure and store 430 TB of data.
Benchling case study
Benchling reduces its CRISPR search times from 30 seconds to under 3 seconds, scales to support CRISPR workflows for more than a hundred organisms, and saves thousands of dollars monthly using AWS. The company provides a complete R&D platform used by thousands of life science researchers across the globe. Benchling runs its genome search platform on AWS, taking advantage of AWS Lambda serverless architecture.
Bigfinite case study
Using artificial intelligence, machine learning, and big data on AWS, bigfinite helps pharmaceutical makers increase the accuracy and efficiency of their manufacturing processes while maintaining regulatory compliance. bigfinite develops software-as-a-service (SaaS) applications for industrial processes in biotech and pharma and other regulated industries. The company uses Amazon Athena for serverless querying of Amazon S3 data and incorporates advanced cloud technology into its big-data analytics platform, using AWS services including Amazon Elastic MapReduce, AWS Lambda, and Amazon Machine Learning.
Bristol-Myers Squibb case study
When Bristol-Myers Squibb (BMS) needed a cost-effective solution to host research data for scientists, the global biopharmaceutical company decided to use AWS to build a secure, self-service portal. As a result, BMS can take advantage of on-demand capacity to keep costs low and run clinical trial simulations 98% faster than its previous environment.
Caltech Guttman Lab case study
The Guttman Lab at the California Institute of Technology uses an AWS-based high-performance computing (HPC) cluster to quickly add new compute nodes, analyze genomic sequencing data in days instead of weeks, and easily manage cluster access credentials. Led by Dr. Mitch Guttman, the Guttman Lab is a Pasadena, California–based research laboratory specializing in the study of large noncoding RNA genes. The lab runs its growing HPC cluster on AWS, using Amazon Virtual Private Cloud to launch resources in a defined network and Amazon WorkSpaces and Simple AD to manage access.
Cambia Health Solutions case study
Cambia Health Solutions uses AWS to enable startup healthcare companies to get to scale quickly while providing high levels of security for sensitive information and meeting compliance requirements. Cambia Health Solutions creates and invests in innovations designed to serve the changing needs of individuals and families, including a wide range of companies within its Direct Health Solutions Network. Within the portfolio of Direct Health Solutions companies, Wildflower uses AWS to deliver its pregnancy app to more than 50,000 women and HealthSparq delivers its healthcare price transparency app to more than 70 health plans covering 70 million members.
Canadian Pharmacists Association case study
The Canadian Pharmacists Association (CPhA) uses AWS to provide healthcare practitioners and patients with accurate information about medications. Services driving CPhA’s digital transformation include Amazon S3, Amazon DynamoDB, Amazon SES, and Elastic Load Balancing products to distribute incoming application traffic across multiple targets.
Celgene Research & Early Development Team case study
Celgene uses AWS to enable secure collaboration between internal and external researchers, allow individual scientists to launch hundreds of compute nodes, and reduce the time it takes to do computational jobs from weeks or months to less than a day. Celgene is a global biopharmaceutical company that creates drugs that fight cancer and other diseases and disorders. Celgene runs its high-performance-computing research clusters, as well as its research collaboration environment, on AWS.
Cerner case study
Ryan Hamilton, SVP of Population Health at Cerner, describes how Cerner uses AWS and big data to gain actionable, real-time insights, simplifying healthcare delivery while reducing costs for payers, providers, and patients. Cerner, one of the leading suppliers of health information technology (HIT) solutions, chose AWS for its global reach and breadth of services, including machine learning and artificial intelligence.
Change Healthcare case study
By using AWS, Change Healthcare can develop and test new services for its customers quickly, and it can scale to meet large demand while minimizing IT costs and complexity. Change Healthcare—previously known as Emdeon—is the largest health administrative network in the United States, processing claims, pharmacy requests, and performing other functions for more than 340,000 physicians and 60,000 pharmacies. Change Healthcare uses AWS services like Amazon EC2, Amazon S3, Amazon SQS, and Amazon SNS to handle millions of confidential transactions daily from its clients while staying in full compliance with healthcare industry regulations, including HIPAA.
Cleveland Clinic case study
The Cleveland Clinic runs its Healthy Brains Initiative on AWS, lowering operating costs so it can focus on bringing value to patients. The Cleveland Clinic is a multispecialty academic hospital based in Cleveland, Ohio. The clinic worked with AWS Certified Partner ClearDATA to ensure that the Healthy Brains Initiative, which gives patients and neurologists a way to enter and analyze information about conditions and activities that affect brain health, meets the clinic’s standards for protecting patient privacy.
Core Informatics case study
By using AWS, Core Informatics quickly and securely deploys GxP-regulated applications, enabling life sciences customers to trace their products throughout the development cycle and save money. Core Informatics provides web-based laboratory management and informatics software to large life sciences and pharmaceutical companies, as well as midsize and startup organizations. The organization runs its lab informatics solutions—including Laboratory Information Management Systems (LIMS)—on the AWS Cloud.
Dr. Lal Pathlabs case study
Dr. Lal PathLabs eliminates downtime for applications to book medical tests and obtain test results online by migrating to AWS. Dr. Lal PathLabs is a leading diagnostic company offering healthcare-related diagnostic tests in India. The company uses Amazon EC2 instances for applications and databases that support test scheduling and results collection, as well as Amazon S3 to store all medical-test results.
DNAnexus case study
DNAnexus delivers a platform as a service for genomic researchers at more than 100 enterprises across the globe. To support large-scale genomic studies, the company turned to AWS for its high-performance compute and storage to run the DNAnexus genome informatics and data management platform. On AWS, DNAnexus scales to tens of millions of core hours of analysis and stores petabytes of data in a HIPAA-compliant environment.
Fabric Genomics case study
Fabric Genomics uses AWS to process whole genomes in minutes, help physicians diagnose diseases faster, and scale to support large genomic datasets. The company offers a computational genomics software platform that clinical labs use to rapidly and accurately process and analyze genomic data. Fabric Genomics runs its genetic variant discovery and interpretation workloads on AWS.
Flatiron Health case study
Flatiron Health delivers software faster, organizes and improves the quality of oncology data, and ensures regulatory compliance by running its applications on AWS. The company provides software to clinicians to manage their practice, workflow, and patient health information. Flatiron runs its critical data-management and research applications on AWS.
GE Healthcare case study
GE Healthcare aims to improve patient outcomes by reducing workflow processing time through sharing of medical image data across specialists and referring physicians. The organization manufactures and distributes diagnostic imaging equipment, as well as imaging agents and radiopharmaceuticals used in medical imaging procedures. GE Healthcare runs its GE Health Cloud, which will connect to 500,000 imaging devices, on AWS.
GENALICE case study
During a live webinar, biomedical startup GENALICE processed genomes from 800 Alzheimer’s disease patients in just 60 minutes, which would have taken its competitor more than two weeks to complete. GENALICE develops breakthrough software for analyzing big data relating to complex DNA diseases. It uses Amazon Web Services to run the Population Calling module of its GENALICE MAP Next-Generation Sequencing data analysis suite.
Halodoc case study
By migrating to the AWS Cloud, Halodoc delivers new product features to market 30 percent faster than before, and it has cut operations costs by 20–30 percent. Halodoc operates a holistic healthcare application enabling patients in Indonesia remote consult with doctors, order a home delivery pharmacy service, and experience at-home laboratory testing. The startup uses Amazon EC2 to run its mobile app, Amazon RDS for database administration, and Amazon S3 to store documents and images. Its third line of business—Lab—was built completely on AWS Lambda.
HBX case study
The DC Health Benefit Exchange Authority (HBX) uses AWS to instantly deploy software to deliver enrollment-as-a-service solutions for healthcare customers, save $1.8 million annually, and help meet stringent compliance requirements. The organization offers an online health insurance marketplace for small businesses and residents in the District of Columbia. HBX runs its primary solution on the AWS Cloud and uses AWS Marketplace to acquire and deploy software for additional solutions.
Healthcare.gov case study
The Centers for Medicare and Medicaid Services (CMS) is part of the U.S. Department of Health and Human Services and is responsible for Healthcare.gov, the portal where consumers can find information and sign up for insurance plans under the Affordable Care Act. CMS turned to Amazon Web Services to launch three new features for the website, including an identity management system, a feature for comparing insurance plans, and a tool to determine eligibility for specific plans based on a consumer’s income and other variables. By using AWS, CMS has been able to deliver a stable and highly scalable set of features capable of handling hundreds of thousands of simultaneous users during peak insurance signup periods.
Healthdirect Australia case study
Healthdirect Australia uses AWS to deliver services quickly across the entire country, including remote areas, while controlling costs and supporting a 300 percent growth in one year in the number of unique visitors to its websites. The public company provides a range of health and related services, information, and advice, and operates Australia’s National Health Services Directory. It uses a range of AWS products to support its web presence and deliver information to doctors, clinics and hospitals, and consumers.
Healthguru case study
Health Guru is one of the leading providers of online health information videos. Faced with scalability and performance challenges, the company switched to AWS, resulting in a 92.5% improvement in web service performance.
Heartflow case study
HeartFlow is a medical technology company that is transforming how heart disease is diagnosed and treated. HeartFlow uses a SaaS model to receive computed tomography data, then applies deep learning to create a digital 3D model of the heart. As the company looked to scale globally, HeartFlow transitioned its first-of-its-kind technology to AWS, enabling more frequent software updates and improved uptime. The company uses Amazon S3 to store the data the platform ingests and generates, Amazon EC2 to perform advanced modeling, and Amazon Aurora to track segregated patient data.
Icahn School of Medicine at Mount Sinai case study
The Icahn School of Medicine at Mount Sinai is looking for clues to the genetic causes of breast and ovarian cancers. The team uses AWS to search and analyze more than 100 TB of genomics data to investigate the causes of those aggressive forms of cancer.
Igenomix case study
Using AWS, Igenomix has the on-demand capacity to run highly data-intensive next-generation sequencing (NGS) workloads, so it can analyze 1,150 percent more samples and gain a competitive edge in genetics testing. The company provides services and solutions to address fertility issues, helping its patients to become pregnant and have healthy children. It uses Amazon EC2 and Amazon S3 to process and store tens of terabytes of data for its genetics testing.
Illumina case study
Illumina uses AWS to globally scale its DNA sequencing technologies while driving down costs by 100X and meeting the security requirements of different countries and customers. The company is a leader in providing DNA sequencing and array-based technologies for customers in the research, clinical, and applied markets, with 90 percent of all DNA sequencing worldwide being performed on Illumina machines. Illumina uses products like Amazon Redshift to support its BaseSpace Sequence Hub that currently stores 10 petabytes of genomics data.
InhibOx case study
Pharmaceutical company, InhibOx, requires virtually unlimited compute capacity for drug discovery research. AWS provides the capacity that InhibOx needs while reducing computing costs by hundreds of thousands of dollars.
Intermountain Healthcare case study
Intermountain Healthcare, using Amazon Web Services and working with APN partner Syapse, can provide fast, cloud-based services to oncologists across the United States so they can deliver precision medicine to cancer patients. Intermountain Healthcare, a large health system based in Utah, uses a cloud-based platform from Syapse that works on AWS, delivering a platform that combines genomic information, clinical data, and other information to deliver actionable information to clinicians.
Johnson & Johnson case study
Johnson & Johnson is the sixth-largest consumer health and pharmaceuticals company in the world operating in 60 countries. Today, Johnson & Johnson runs 120 applications in the AWS Cloud with great efficiencies and plans to triple that in the next year. In addition, the company also plans to launch more than 25,000 Amazon Workspaces cloud-based desktops for its consultants and employees to use starting in January 2015.
MiHIN case study
The Michigan Health Information Network Shared Services (MiHIN) uses AWS to process more than 12 million patient health information messages weekly, keep pace with 20 percent growth in demand for new services, and build and test new features in days rather than months. MiHIN enables the exchange of health information throughout the state of Michigan. The company’s network is used by Michigan healthcare providers and payers to securely share patient information. MiHIN is all-in on AWS, running its health-information network in the AWS Cloud.
MedStar Health case study
MedStar Health, the largest not-for-profit healthcare system in Maryland and the Washington, D.C., region, wanted to offer patients an easy way to search for doctors, medical services, and locations, and to make appointments. To deliver a patient-first experience, the healthcare system decided to combine its disparate websites into a single, searchable portal using AWS. By creating a centralized patient engagement portal on AWS, MedStar has dramatically increased website availability and page download speeds, while lowering monthly operating costs for the portal by more than 40 percent.
Moderna Therapeutics case study
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. The Moderna solution uses Amazon EC2, Amazon Redshift, and Amazon RDS to identify optimal mRNA sequences and run automated GLP, GMP, and FDA-compliant processes.
Murdoch University Center for Comparative Genomics case study
Australia’s Murdoch University Centre for Comparative Genomics (CCG) completes cattle-tick genomic analysis months faster, helps create new anti-tick vaccines, and has better control over its research processes using AWS. CCG undertakes bioinformatics and molecular therapy research and development, and provides research services. The Centre runs its genomic-analysis platform on the AWS Cloud.
New York University Langone Medical Center case study
The High Performance Computing Facility of the New York University (NYU) Center for Health Informatics and Bioinformatics was established in 2009 to deliver forefront-computing capabilities to researchers at the NYU Langone Medical Center. The facility uses Globus Online, a free file transfer service hosted and powered by Amazon EC2, as well as Amazon S3 to allow medical informatics and bioinformatics researchers to share data and enable research computing needs that exceed local capacity limits.
NextGen Healthcare case study
NextGen Healthcare went all in on AWS in 2018, moving its legacy Microsoft Windows and SQL Server platforms to the AWS Cloud while maintaining HIPAA compliance. By running its business-critical applications on AWS, NextGen Healthcare has improved performance and can focus on enhancing the patient care experience.
Novartis case study
Novartis Institutes for Biomedical Research’s (NIBR) purpose is to cure, care, and provide medicines that treat and prevent diseases, ease suffering and improve quality of life. NIBR maintains a global research network of 6,000 scientists that have 130 projects in development that combine clinical insights with mechanical understanding – focusing on the molecular pathways shared by various diseases. With an average time and cost to take a drug to market of 10 years and about $1 billion, NIBR wants to reduce these numbers using high performance computing.
Omada Health case study
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. The company runs its services on AWS—including Amazon EC2, Amazon RDS, and Amazon S3—and improves outcomes with advanced data science using Amazon Redshift and AWS Elastic Beanstalk.
OpenEye Scientific case study
OpenEye Scientific Software uses AWS to save $800,000 yearly, help pharmaceutical companies deploy tens of thousands of processing cores in weeks instead of months, and improve the sharing of drug data. The company, based in Santa Fe, New Mexico, develops drug discovery software for large pharmaceutical companies and other life sciences organizations. OpenEye runs Orion, its computational chemistry platform for computer-aided drug design, on the AWS Cloud, taking advantage of Amazon EC2 Spot Instances to reduce costs.
Orion Health case study
Orion Health is one of the leading global providers of health information exchange (HIE) and healthcare integration solutions. The company engaged APN consulting partner Logicworks to help build Cal INDEX, a California statewide HIPAA-compliant HIE using AWS. By using AWS, Orion Health can scale its platform to handle millions of patient records.
Oscar Insurance case study
Oscar Insurance built a technology and data-driven health insurance company from the ground up in just three months on AWS while meeting HIPAA compliance requirements. The company uses AWS to run its insurance platform, customer databases, and analytics solution. By using AWS, Oscar Insurance was able to process more than 25 million historical insurance claims in hours and launch its platform on time.
Ottawa Hospital Research Institute case study
The Ottawa Hospital Research Institute uses AWS to enable Canadian citizens to manage immunization records on mobile devices. The application uses Amazon EC2, Amazon Cognito, and Amazon RDS.
Penn State case study
Penn State’s Biological Engineering Department wanted to make its research results widely available to scientists. Penn State uses AWS to host and distribute its research design methods, optimization algorithms, and results with 6,000 scientists all over the world. By using AWS, Penn State has allowed researchers to design more than 50,000 synthetic DNA sequences.
Philips Healthcare case study
The Healthcare Informatics Solutions and Services division of Philips Healthcare wants to reinvent healthcare for billions of people around the world and is building its Philips HealthSuite digital platform on Amazon Web Services (AWS). The Philips HealthSuite digital platform analyzes and stores 15 PB of patient data gathered from 390 million imaging studies, medical records, and patient inputs to provide healthcare providers with actionable data, which they can use to directly impact patient care. Running on AWS provides the reliability, performance and scalability that Philips needs to help protect patient data as its global digital platform grows at the rate of one petabyte per month.
San Francisco State University case study
San Francisco State University, in collaboration with the Stanford Helix Group, needed to accelerate computations for their research project, FEATURE. Using machine learning techniques and Amazon EC2, the teams were able to complete research that previously would have taken them weeks in just hours while reducing computing costs.
Sequence Bio case study
Sequence Bio uses AWS to host its data platform it uses to analyze large amounts of genetic data. Sequence Bio is a Newfoundland and Labrador biotechnology company striving to improve how it treats diseases and develops medicine. The company uses AWS to compute genetic data to help identify patterns across disease and genetic groups used in drug discovery.
Seven Bridges Genomics case study
Seven Bridges Genomics uses AWS to provide researchers with IGOR, a cloud platform that helps them analyze DNA sequencing data. Using AWS has helped enable Seven Bridges to provide their customers with complex genetics analysis at a large scale and at low cost—typically saving researchers 40% compared to in-house solutions.
Siemens case study
Siemens Healthcare Diagnostics’ mission is to deliver better patient care at a lower cost. With AWS, Siemens has built an analytics platform to help caretakers personalize patient treatment plans through companion diagnostics testing. AWS provides Siemens with tools like AWS CloudTrail, Amazon CloudWatch, Auto Scaling, AWS CloudFormation, and AWS Identity and Access Management (IAM) to become more agile and achieve their mission.
Smithsonian Institute case study
Using AWS, the Smithsonian Institution Data Science Team can scale instances up and down as needed, allowing the team to annotate genomes in parallel while also managing costs. The Smithsonian Data Science Team's mission is to implement solutions that will accelerate science and lower the bar for entry to genomics research, not only for Smithsonian scientists but for biodiversity researchers in general. The team is working to improve a critical part of the genome-analysis pipeline—annotation. The AWS Cloud has enabled the Smithsonian Institution to share their research and increase knowledge through open data science.
Sparta Systems case study
Sparta Systems uses the AWS Cloud to host quality-management systems for the life sciences industry that maintain data integrity, foster collaboration across a company’s quality ecosystem, and enable customers to deliver safer products to consumers. Sparta Systems hosts a solution on which pharmaceutical and medical-device companies can operate validated workloads that can be secured, analyzed, and verified by regulatory agencies. Using a variety of AWS services, it helps these customers minimize the costs and work interruptions that come with regulatory investigations and manage quality for processes across their entire production life cycle.
ThermoFisher case study
Thermo Fisher is one of the world’s leaders in serving scientists with tools and technologies that enable better research globally. To help accelerate science, the company built its new Thermo Fisher Cloud on AWS where it helps scientists and researchers store, analyze, and share medical data. By using AWS, the company was able to build this new solution in less time and at lower costs than what would have been required by an on-premises solution.
TraceLink case study
Using AWS, TraceLink helps life sciences companies achieve compliance with global track-and-trace regulations in GxP-compliant environments, scales its data-exchange network to support hundreds of thousands of supply chain partners, and helps companies save millions of dollars. The organization provides a track-and-trace network that connects life sciences companies and stops counterfeit drugs from entering the marketplace. TraceLink runs its cloud-based track-and-trace solution and data exchange on the AWS Cloud.
UC Berkeley AMP Lab’s Carat Project case study
The Algorithms, Machine, and People (AMP) Lab at the University of California Berkeley is a multi-disciplinary research effort designed to build scalable machine learning and data analysis technology. With the help of AWS, the AMP Lab team is able to scale up experiments and try new software on realistic configurations across thousands of computers. The AWS Cloud provides the AMP Lab access to low-cost infrastructure and on-demand computing resources, which support big data projects that include Carat, an application created to help measure energy productivity and improve battery life on cell phones.
UC Santa Cruz Genomics Institute case study
Using AWS, the UC Santa Cruz Genomics Institute processed 20,000 cancer samples in days instead of months, saving hundreds of thousands of dollars and powering innovative new research. The Institute—which was founded to lead UC Santa Cruz’s efforts to unlock the world’s genomic data—analyzes computational genomics, cancer genomics, and other genomic data. The organization runs its scientific-workflow software solution—called Toil—on the AWS Cloud.
uMotif case study
Using AWS, uMotif facilitates medical research by improving the quality of data captured during clinical studies. The company’s software makes it easy for patients to record their experiences during a study, using mobile devices like tablets and smartphones. The data is then regularly synced to a cloud-based, backend infrastructure running on the AWS Cloud.
Union Medical Healthcare (UMH) case study
Union Medical Healthcare (UMH) can produce key financial reports 50 percent faster while giving executives real-time insight into the company’s business performance with SAP S/4HANA Finance running on AWS. UMH provides medical and healthcare services in the Greater China Region. UMH uses SAP S/4HANA Finance, which it runs in an Amazon VPC with Amazon EC2 instances supporting applications and the in-memory database, and it relies on Amazon EBS for storing data.
University of Chicago case study
The University of Chicago’s Computation Institute builds solutions to provide “science as a service” to researchers. The Institute uses AWS to host its Globus Transfer and Globus Genomics services and offer more than 99% availability to its customers.
US Centers for Disease Control and Prevention (CDC) case study
The US Centers for Disease Control and Prevention’s (CDC) BioSense program tracks public health problems to better prepare for and coordinate responses to safeguard the wellbeing of the American people. The CDC recently re-launched BioSense 2.0 on the AWS Cloud in AWS GovCloud (US) and other Regions. With AWS, the CDC can better share important health information among public health professionals and with partners in state and local governments while avoiding costly investments in hardware.
US Food and Drug Administration (FDA) case study
The US Food and Drug Administration (FDA) protects and promotes public health. The agency, which receives 100,000 handwritten reports of adverse drug affects each year, needed a way to make the data entry process more efficient and reduce costs. By using AWS, the FDA and AWS Partner Captricity quickly turn manual reports into machine-readable information with 99.7% accuracy, reducing costs from $29 per page to $0.25 per page.
Verge Health case study
By using AWS, Verge Health shortened the time to deploy HIPAA-compliant development environments from three weeks to just a few minutes. Founded in 2001, Verge Health provides the governance, risk, and compliance platform of choice for more than 900 health systems and hospitals nationwide. The company uses AWS Service Catalog to self-provision the resources it needs to create comprehensive health care risk management solutions that meet industry-specific compliance and security requirements.
Waters case study
Waters is bringing its regulated laboratory customers to the AWS Cloud for increased global agility and simplified relationships with outsourcing partners, helping its customers drive their businesses forward. The company is a leading worldwide provider of specialty measurement technologies, delivering benefits through innovations and people that enable customer success in materials, food, and life sciences. Waters uses AWS CloudFormation templates to provision the AWS infrastructure—including Amazon EC2, Amazon EBS, and Amazon S3—that its Empower Cloud runs on.
Zocdoc case study
By moving all in on AWS, Zocdoc has accelerated product development and can innovate faster. Zocdoc is an online healthcare scheduling service, integrating information about medical practices and doctors' individual schedules in a central location. As Zocdoc outgrows its original monolithic architecture, it is transitioning to microservices and using AWS to handle the majority of its undifferentiated heavy lifting so it can focus on solving patient and provider problems.