Category: Healthcare

Given the sensitive nature of the data capture process within the health landscape, humanizing the experience when digitizing information is crucial, with a keen focus on a personalized user experience not to be compromised on. The key lies in the approach taken to design and deliver on the fundamental capabilities of serverless architecture. Learn how Experience Digital converted offline resources into a broadscale digital toolset for MedHealth as part of a roll-out across Australia.

Industrial organizations rely on high-value (core) machinery such as processing plant crushers and conveyors for their factory operations. In these same factories, there are secondary (non-core) assets such as motors, pumps, and generators located on the periphery of customer sites, but many are physically isolated, disconnected, and legacy in nature. Urban.io’s Asset Monitoring Data Subscription solution removes the technical challenges typically required to connect these hard-to-reach assets within factories.

An important focus for AWS and Red Hat is supporting IT modernization for U.S. Health and Human Services (HHS) state government agencies. HHS modernization efforts include moving to the cloud, connecting disparate datasets, and embracing shared services across multiple agencies. Learn how the Red Hat and AWS cloud-based platform provides scalability, on-demand access to resources, and self-service functionalities to users.

When it comes to healthcare and patient data, managing and storing data involves some of the greatest challenges of any industry. Disparate input sources, the need for real-time monitoring, and HIPAA data security and regulatory compliance are all necessary to maintain sensitive and personally identifiable health records. Learn how SourceFuse’s hospital ancillary revenue insights solution helps extract, analyze, and generate business insights and KPIs using patient prescription information from thousands of e-prescriptions.

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

Appian is a leading provider of low-code automation software whose unified solution helps organizations ensure a safe, smooth transition back to onsite work, while maintaining the privacy and security of employee health information. Appian Workforce Safety integrates contact tracing and incident case management with vaccination tracking, health monitoring, COVID-19 testing, and facility and visitor management into a single response hub.

For customers in the United States, patients must have access to Electronic Health Record (EHR) information in their medical records beginning April 5, 2021. While most health systems have one EHR in place, others who have undergone mergers may have several EHR solutions. All of this contributes to the challenge of achieving healthcare interoperability. This post shows how Redox, an AWS Partner and EHR integration platform, accelerates healthcare interoperability for customers.

As COVID-19 cases continue to surge, institutions are working tirelessly to ensure they are prepared. Contact tracing is a complex problem to solve, and CareBand’s SafeTrack is a solution. This post covers how to get started partnering with CareBand’s technology and building a solution using AWS that collects data from SafeTrack wearables and integrates that with AWS IoT. The solution will generate a report of all the individuals who have been exposed to a detected case of COVID-19.

Scaling doctors’ expertise through artificial intelligence (AI) and machine learning (ML) provides an affordable and accurate solution, giving millions of infants equal access to eye screening. Learn how Pr3vent, a medical AI company founded by ophthalmologists, teamed up with AWS Machine Learning Competency Partner Provectus to develop an advanced disease screening solution powered by deep learning that detects pathology and signs of possible abnormalities in the retinas of newborns.

In a global pandemic, it can be hard for medical practitioners and patients to get connected and treated. Continually being on top of patients’ progress is also a challenge, along with scarcity of doctors who themselves are affected by the pandemic. Learn about a reference architecture from Capgemini that uses AWS machine learning services to enable doctors and patients to interact with the least amount of physical contact, while also improving efficiency in treatment management, tracking, and auditing.