Category: Healthcare

LearnHaem, a nonprofit online educational resource based in Singapore, grew out of a need to make haematology content accessible and inclusive to medical professionals and students around the world. The LearnHaem website, built on AWS, provides one of the largest and most comprehensive collections of no-cost digitized images of microscopy slides and haematology educational content available in Asia Pacific, focusing on blood and blood-related disorders.

Learn how healthcare organizations can use cloud technology to support sustainability initiatives.

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.

INFINITT Healthcare, a healthcare technology (HealthTech) company based in South Korea, is working to streamline digital pathology by extracting and transforming whole-slide imaging (WSI) output as a Digital Imaging and Communications in Medicine (DICOM) file—a digital version of WSI that is helping pathologists save time and resources, streamline multidisciplinary communication, and accelerate time to solutions in patient care. This is then stored in their cloud-based digital pathology system (DPS) built on AWS.

BioMark is a digital diagnostics and therapeutics company that offers cutting-edge solutions to more than 7,000 clinics and 63 hospitals in Southeast Asia. The company’s services are available in Malaysia, Singapore, Philippines, Thailand, Brunei, Vietnam, and Indonesia, where it provides over 30 million lab results for patients across these clinics. BioMark enables medical professionals to access lab results quickly and efficiently, allowing for faster and more accurate diagnosis and treatment. They use AWS to build their digital solutions.

Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. But developing a request for proposal (RFP) for a data center migration to the cloud can be challenging for organizations who have not used cloud at scale yet. This blog post presents guidance for procurement practices that can be used when an AMC is looking to solicit cloud services for a data center migration separate from the integration services to perform the migration.

Artificial intelligence (AI) and machine learning (ML) technologies are transforming many industries. But although public sector organizations are realizing the benefits of these technologies, there are many remaining challenges, including biases and a lack of transparency, that limit the wider adoption to unlock the full potential of AI and ML. In this post, learn a high-level framework for how AWS can help you address these challenges and provide better outcomes for constituents.

The National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS DSS), powered by AWS, is a genomic database that provides access to publicly available datasets for Alzheimer’s disease and related neuropathologies. Created to make Alzheimers-genetics knowledge more accessible to researchers, NIAGADS has genomics data on 172,701 samples from 98 datasets and is now 1.3 petabytes (PB) in total size. NIAGADS is creating a system that promotes scientific discovery through data sharing with a large cadre of institutions.

Nonprofit organizations tend to have a lot of data that resides in systems that don’t interact with each other. For organizations in the nonprofit healthcare industry, this problem is made more difficult to manage by the sheer volume of data that they collect. Solving this data unification problem is the reason that Collibra, an AWS Partner, built the Collibra Data Intelligence Cloud. Froedtert and the Medical College of Wisconsin (F&MCW), a nonprofit academic medical center in Milwaukee, Wisconsin, uses the Collibra Data Intelligence Cloud on AWS to unify access to diverse datasets to improve patient outcomes.

Cloud technology provides an opportunity to think differently about the electronic health record (EHR) to provide continuous, superior patient care. A patient’s health is not static, and a health record system is not static. Healthcare leaders should consider shifting the underlying words of EHR from “electronic” to “elastic,” embracing a record that is always in motion. AWS can help support this elasticity.