Deloitte Healthcare & Life Sciences on AWS
Providing targeted solutions that empower the shift to value‑based healthcare.
Cloud-based technology is becoming the new normal in healthcare and life sciences –and with good reason. Two-thirds of the average healthcare IT budget is currently dedicated just to keeping the lights on. That amount of spending should reap bigger rewards, and cloud technology offers just that.
Healthcare and life sciences companies around the world are using Amazon Web Services (AWS) to create better experiences and outcomes for patients. Using AWS saves money with affordable archiving, saves physical space with backup servers in the cloud, and offers new ways to manage patient information.
AWS cloud computing also provides access to powerful new analytics capabilities and machine learning (ML), all while meeting the most stringent security and privacy requirements.
It’s time to rethink IT in healthcare and life sciences – and reduce complexity, inefficiency, and costs by optimising your investment in data management. Here are three specific ways AWS can help.
Our rapidly changing world requires health technologies that deliver the ability to anticipate and quickly respond to emerging needs. Deloitte assists forward-thinking healthcare and life sciences organisations in their cloud migration and digital transformation journeys, providing targeted solutions that empower the shift to value-based, personalised healthcare. These solutions leverage AWS cloud technologies to provide flexible infrastructure, value-added partnerships, customisable platforms, and data-driven insights.
AWS is collaborating with healthcare providers, public health organisations, government agencies, and life science businesses around the globe to support their efforts to cope with the effects of COVID-19. Our AWS Healthcare & Life Sciences COVID-19 Resources page provides up-to-date information and resources for COVID-19 researchers and diagnostics developers.
Propeller Health has developed a digital health platform that improves outcomes for people with chronic respiratory disease. The company applies ML with solutions such as Amazon SageMaker and Amazon Redshift, along with its infrastructure built on AWS, to give patients a forecast of their health based on local weather conditions, recent medication use, and other factors.
The Fred Hutchinson Cancer Research Center in Seattle uses Amazon Comprehend Medical to identify patients for clinical trials who may benefit from specific cancer therapies, reducing the time to process millions of documents from hours to seconds.