The Maryland Department of Human Services (DHS) creates Maryland’s Total Human-services Integrated Network (MD THINK) to deliver integrated health and human services to the state’s most vulnerable residents. This first-in-the-nation, cloud-based platform built on AWS provides Maryland agencies a holistic view of data across agencies which they can use to improve their programs.

Philips develops solutions that enable healthcare providers to make better decisions for their patients. The company uses AWS to create its HealthSuite Digital Platform, which securely consolidates information from patient records, wearables, home-based remote monitoring equipment, insurance companies, and healthcare organizations to create a compiled report.

Munich Leukemia Lab (MLL) partners with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) to create an automatic leukemia diagnosis pipeline leveraging machine learning and the knowledge of subject matter experts at MLL.

Change Healthcare Claims Lifecycle AI helps providers and payers optimize the entire claims processing lifecycle. By using AWS services, the Change Healthcare team is able to create the solution in a rapid and iterative fashion. The integration of Claims Lifecycle AI with network applications decreases the development time to build, train, and deploy deep learning models.

Cambia Health Solutions removes much of the human intervention typically required to create a holistic evaluation of patient health risks. The solution uses AWS to automatically extract information from medications, medical conditions, and procedures and document them in a single, user-friendly platform.

Oscar Insurance builds a technology and data-driven health insurance company from the ground up in just three months while meeting HIPAA compliance requirements. The company runs its insurance platform, customer databases, and analytics solution on AWS, and is able to process more than 25 million historical insurance claims in a matter of hours

Children’s Hospital of Orange County (CHOC), one of the nation’s leading children’s hospitals, collaborates with Cerner to develop the HealtheDataLab. Built on AWS, the cloud-based, machine learning solution uses big data analytics to help CHOC identify patients with high readmission risk and give families the support they need before a child is discharged.

UC San Diego Health creates an innovative model for detecting pneumonia during the COVID-19 pandemic that is operational in just ten days. The solution processes images in a secure, HIPAA-compliant AWS environment and uses AI to help predict the likelihood of disease.

Propeller Health, a leading digital health company dedicated to the management of chronic respiratory disease, develops a digital health platform, Propeller, to improve outcomes for people with asthma and chronic obstructive pulmonary disease (COPD). The platform uses AWS machine learning to help predict patients’ health based on local weather conditions, recent medication use, and other factors.

In the wake of COVID-19, the Chicago Department of Health (CDPH) needs a way to bring together disparate data across the city’s hospitals in order to better understand COVID care status and hospital capacity. Rush University Medical Center creates a data analytics hub, pulling together data from across 17 of Chicago’s hospitals using AWS to store the data in FHIR format in order to create a dashboard of key population health metrics.

UC Davis Health launches the world’s first Cloud Innovation Center (CIC) based at an academic medical center in collaboration with AWS. The global CIC Program, powered by AWS, brings together nonprofit, education, and government organizations to collaborate on solutions to address healthcare challenges.

Cerner is one of the leading suppliers of health information technology (HIT) solutions. The organization develops population health-level tools. One such tool, HealtheIntent, creates a large-scale platform that normalizes data using AWS services.

The Cerner Machine Learning Ecosystem gives hospital systems and clinicians the ability to make near-real-time predictions and better patient care decisions based on ingested datasets—including third-party datasets. Using AWS tools, Cerner connects data sources in meaningful, nimble, and agile ways, delivering situational awareness to hospitals.

Vyaire Uses AWS Data Exchange for APIs to make it easier to find data and faster to incorporate data sources into the company’s own environment, resulting in quicker insights and teams that focus on getting results, not administration.