Tag: healthcare

Innovative healthcare technology puts patients at the center of care. Solutions that let patients stay in control of their care are transforming and defining modern healthcare. Let’s look at three health technology organizations who have built patient-centric, cloud solutions on Amazon Web Services (AWS), paving a new way for healthcare to be delivered.

From speeding the time to science to accelerating the delivery of critical citizen services, our customers are migrating to the AWS Cloud to successfully deliver on their missions. Our current environment has pushed us all into new ways of learning, working, and even socializing. And the cloud has made these recent changes and innovations possible. These customer examples can offer a playbook and inspiration for how organizations can leverage the cloud to innovate quickly and deliver on behalf of citizens.

Telehealth solutions make virtual, real-time interactions between patient and provider possible. These solutions can be beneficial for both patients and care providers, letting patients receive care without having to step into a doctor’s office—a key feature that has benefits for those in hard-to-reach or rural areas and patients with mobility issues. Additionally, these solutions can help reduce physical traffic in hospitals, which is imperative during the pandemic. Customers around the globe share how building on AWS, helps them scale, innovate, and operate at scale to improve the patient and care provider experience.

In August 2020, the AWS Public Sector Blog covered cloud workforce development, partner programs for small and medium enterprises (SMEs) and minority-owned businesses (MOBs), and more.

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

In response to the COVID-19 pandemic, healthcare organizations around the world are focusing on improving and speeding up testing and diagnostics. Digital health companies Smart Reporting in Germany and Thirona in the Netherlands have been working to create a CT-based imaging solution to support COVID-19 diagnosis, enabled by the cloud and the Amazon Web Services (AWS) Diagnostic Development Initiative. The AWS Diagnostic Development Initiative provides support to organizations for innovation in rapid and accurate patient testing for 2019 novel coronavirus (COVID-19) and other diagnostic solutions to mitigate future outbreaks.

Artificial intelligence (AI) solutions are helping solve some of the biggest short- and long-term challenges within the public sector. But how can you quickly identify new AI-powered opportunities and use cases to solve unique and specific challenges within your organization? AWS AI and ML Week, taking place from September 14-18, includes seven curated webinars from introductory to expert level. Whether you’re new to AI or an experienced machine learning developer, attend our webinars and dive into some of the most common AI use cases for the public sector from this year.

In July and August on the Amazon Web Services (AWS) Fix This podcast, we heard from customers on their solutions for the classroom, in diagnostic research, for working from home, and in the great outdoors.

In June, Amazon Web Services (AWS) piloted AWS DigiHealth, an educational program designed for healthcare professionals in IT, digital health, and healthcare delivery to learn about cloud computing concepts. The program teaches participants about the value of the cloud, shares examples of how the cloud can be applied in healthcare, and reviews applicable available services through AWS. The pilot was eligible for working professionals in the health care sector who were interested in learning how the cloud can help them transform their organization and spur innovation.

Artificial intelligence (AI) and related technologies including machine learning (ML) and deep learning (DL) can transform the way government agencies operate and enable them to provide improved citizen services. AWS Partner Network Partners have been working with AWS to accelerate solutions development using AI and related technologies for our public sector customers. To further assist partners in the acceleration of AI and ML, AWS is launching a new partner initiative: the AI and ML Rapid Adoption Assistance Initiative.