Category: Healthcare

The National Institutes of Health (NIH) has long maintained guidelines governing the responsible management of controlled access human genomic and phenotypic data maintained in NIH-designated data repositories. Recently, the NIH updated these guidelines to align with the NIST SP 800-171 security standard, which defines a comprehensive framework for securing Controlled Unclassified Information (CUI). In this blog post, we will explore the specifics of the updated NIH guidance and outline how Amazon Web Services (AWS) can help customers build a compliant environment to meet these requirements.

PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.

The World Health Summit 2024 served as a pivotal platform for global health leaders, policymakers, and innovators to address pressing healthcare challenges and explore cutting-edge solutions. With more than 3,500 participants from 140 countries, 21,000 online viewers, and 65,000-plus social-media engagements, the summit was a testament to the commitment of global healthcare leaders to addressing health inequities and improving patient outcomes. As a strategic partner to the World Health Summit in 2024, Amazon Web Services (AWS) showcased its efforts and commitment to transforming healthcare by using technology worldwide. Read this post to learn more.

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

The American College of Radiology (ACR) is a nonprofit organization and world leader supporting the radiology community. Founded in 1923, ACR represents more than 41,000 diagnostic and interventional radiologists, radiation oncologists, nuclear medicine physicians, and medical physicists. In this post, we share how ACR implemented a Statistical Analysis System (SAS) solution on Amazon Web Services (AWS) to accomplish their big data processing and analysis needs, resulting in better cost optimization, performance improvements, and improved scalability.

Precision medicine is a data-driven approach that considers individual variations in genetics to allow healthcare professionals to more accurately predict, prevent, diagnose, or treat different groups of people. As part of ongoing research to advance genomic research in Singapore, companies like Amazon Web Services (AWS) and Illumina play a pivotal role in genome sequencing and analysis, and providing the tools and technology needed to analyse large-scale genomic datasets to help decode the risk factors for certain Asian-specific chronic diseases.

During AWS re:Invent 2024, an Innovation Session presented by Worldwide Public Sector Vice President Dave Levy illustrated how AWS empowers customers to innovate and tackle critical challenges faster and more efficiently using cloud technology and generative artificial intelligence (AI). Take a few minutes to read this post and learn more about the transformative initiatives, inspiring customer stories, and technological developments that help AWS public sector customers improve life on Earth.

At Amazon Web Services (AWS), we believe in the power of cloud technology to transform healthcare and improve lives. Because of this, at AWS re:Invent 2024 we announced a commitment of up to $2 million in AWS credits to help four Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health launchpad awardees address critical unmet challenges in women’s health.

The year 2024 was filled with both excitement and thoughtful consideration in the nonprofit sector as the world seeks to understand and apply transformative cloud technologies such as generative artificial intelligence (AI) to enhance impact and increase productivity. Amazon Web Services (AWS) is privileged to work alongside organizations in the social sector who are using these tools for the benefit of people and our planet, and who are leading conversations about how to do it responsibly. We’re proud to announce that many of those organizations are AWS IMAGINE Grant winners, representing our largest cohort of recipients to date.

In countries where demand for healthcare outweighs available resources, and populations are spread out in remote locations, open source technologies using Amazon Web Services (AWS) can transform providers’ and patients’ experience. Bahmni, an open source electronic medical records (EMR) system is one that we have pioneered. It gives doctors rapid access to up-to-date health records and test results so that they have better information and more time for patient care. A system that started in a single hospital in a remote part of central India is now used by more than 500 hospitals in 50 countries.