Tag: AWS healthcare

At this year’s re:Invent conference, AWS is introducing Innovation Talks, which are deep dives hosted by AWS thought leaders. Dave Levy, vice president of AWS worldwide public sector, is hosting the session, “Empowering citizens through digital innovation” and will be joined by speakers from the Federal Reserve Bank of Boston, Covered California, and Singapore’s Smart Nation and Digital Government Group (SNDGG). Read this blog post to learn more about these featured customers.

The AWS public sector and AWS Training and Certification (T&C) teams worked with customers and partners across Latin America, Canada, and Caribbean (LCC) region to develop and test the recently launched AWS Industry Quest: Healthcare, an interactive learning experience that teaches how to build cloud solutions that can benefit healthcare customers globally.

Supporting and protecting the healthcare workforce is an essential investment in the continuity of health services. That’s why AWS is choosing to focus on training, retaining, and deploying healthcare workers with the launch of a new AWS Healthcare Accelerator. This is AWS’s first ever global healthcare cohort focused on workforce development.

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

Singapore’s National University Health System (NUHS) collaborated with Integrated Health Information Systems (IHiS), Singapore’s technology agency for the public sector, to develop the OneNUHS App. The mobile healthcare application extends healthcare services beyond the hospital, providing telehealth services like video consultations with doctors and more. To accelerate time-to-launch, save costs, and support reliable access for Singaporeans, the OneNUHS app uses AWS.

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.

King Hamad University Hospital (KHUH) and Bahrain Oncology Center is a 600-bed-hospital in Bahrain. Over the years, KHUH faced constraints with exponential growth of their on-premise storage needs, particularly with the medical images stored by their picture archiving and communication system (PACS). KHUH turned to AWS to develop a cost- and time-effective long-term storage solution, without making changes to their existing PACS, that reduced storage costs by 40%.

The healthcare technology (HealthTech) startup contextflow uses AWS to power its clinical decision support system that can help radiologists diagnose patients faster and with more accuracy. The software can search, retrieve, and compare historical diagnostic data to help guide radiologists in writing reports. It is currently being utilized to analyze lung computed tomography (CT) scans for interstitial lung diseases (ILD), chronic obstructive pulmonary disease (COPD), and lung cancer screenings.

To better understand the challenges and opportunities in digital healthcare adoption, think tank ACCESS Health International and the AWS Institute conducted research across 12 countries in the Asia Pacific in order to understand government and industry perspectives on cloud adoption for public healthcare. The findings are presented in the “Overcoming Barriers to Cloud Adoption in Public Healthcare in the Asia-Pacific” report. Read on for a summary of the research’s key findings.

In this blog post series on getting started building a data lake for healthcare with AWS, I focus on improving the security posture of our example build by incorporating the relatively new Attribute Based Access Control (ABAC) feature of Amazon Cognito. This helps to both streamline and improve the granularity of access control for various user profiles connected to our data lake scenario.